Add HTTPS URL support and fix MCP parameter validation
Features: - HTTPS URL support: Process PDFs directly from URLs with intelligent caching - Smart caching: 1-hour cache to avoid repeated downloads - Content validation: Verify downloads are actually PDF files - Security: Proper User-Agent headers, HTTPS preferred over HTTP - MCP parameter fixes: Handle pages parameter as string "[2,3]" format - Backward compatibility: Still supports local file paths and list parameters Technical changes: - Added download_pdf_from_url() with caching and validation - Updated validate_pdf_path() to handle URLs and local paths - Added parse_pages_parameter() for flexible parameter parsing - Updated all 8 tools to accept string pages parameters - Enhanced error handling for network and validation issues All tools now support: - Local paths: "/path/to/file.pdf" - HTTPS URLs: "https://example.com/document.pdf" - Flexible pages: "[2,3]", "1,2,3", or [1,2,3] 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
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README.md
23
README.md
@ -10,8 +10,31 @@ A comprehensive FastMCP server for PDF processing operations. This server provid
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- **Document Analysis**: Extract structure, metadata, and check if PDFs are scanned
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- **Image Extraction**: Extract images with size filtering
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- **Format Conversion**: Convert PDFs to clean Markdown format
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- **URL Support**: Process PDFs directly from HTTPS URLs with intelligent caching
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- **Smart Detection**: Automatically detect the best method for each operation
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## URL Support
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All tools support processing PDFs directly from HTTPS URLs:
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```bash
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# Extract text from URL
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mcp_pdf_tools extract_text "https://example.com/document.pdf"
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# Extract tables from URL
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mcp_pdf_tools extract_tables "https://example.com/report.pdf"
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# Convert URL PDF to markdown
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mcp_pdf_tools pdf_to_markdown "https://example.com/paper.pdf"
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```
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**Features:**
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- **Intelligent caching**: Downloaded PDFs are cached for 1 hour to avoid repeated downloads
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- **Content validation**: Verifies content is actually a PDF file (checks magic bytes and content-type)
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- **Security**: HTTPS URLs recommended (HTTP URLs show security warnings)
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- **Proper headers**: Sends appropriate User-Agent for better server compatibility
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- **Error handling**: Clear error messages for network issues or invalid content
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## Installation
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### Using uv (recommended)
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examples/url_examples.py
Normal file
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examples/url_examples.py
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@ -0,0 +1,104 @@
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#!/usr/bin/env python3
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"""
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Examples of using MCP PDF Tools with URLs
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"""
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import asyncio
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import sys
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import os
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# Add src to path for development
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sys.path.insert(0, '../src')
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from mcp_pdf_tools.server import (
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extract_text, extract_metadata, pdf_to_markdown,
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extract_tables, is_scanned_pdf
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)
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async def example_text_extraction():
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"""Example: Extract text from a PDF URL"""
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print("🔗 Extracting text from URL...")
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# Using a sample PDF from the web
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url = "https://www.w3.org/WAI/ER/tests/xhtml/testfiles/resources/pdf/dummy.pdf"
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try:
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result = await extract_text(url)
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print(f"✅ Text extraction successful!")
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print(f" Method used: {result['method_used']}")
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print(f" Pages: {result['metadata']['pages']}")
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print(f" Extracted text length: {len(result['text'])} characters")
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print(f" First 100 characters: {result['text'][:100]}...")
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except Exception as e:
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print(f"❌ Failed: {e}")
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async def example_metadata_extraction():
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"""Example: Extract metadata from a PDF URL"""
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print("\n📋 Extracting metadata from URL...")
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url = "https://www.w3.org/WAI/ER/tests/xhtml/testfiles/resources/pdf/dummy.pdf"
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try:
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result = await extract_metadata(url)
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print(f"✅ Metadata extraction successful!")
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print(f" File size: {result['file_info']['size_mb']:.2f} MB")
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print(f" Pages: {result['statistics']['page_count']}")
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print(f" Title: {result['metadata'].get('title', 'No title')}")
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print(f" Creation date: {result['metadata'].get('creation_date', 'Unknown')}")
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except Exception as e:
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print(f"❌ Failed: {e}")
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async def example_scanned_detection():
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"""Example: Check if PDF is scanned"""
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print("\n🔍 Checking if PDF is scanned...")
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url = "https://www.w3.org/WAI/ER/tests/xhtml/testfiles/resources/pdf/dummy.pdf"
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try:
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result = await is_scanned_pdf(url)
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print(f"✅ Scanned detection successful!")
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print(f" Is scanned: {result['is_scanned']}")
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print(f" Recommendation: {result['recommendation']}")
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print(f" Pages checked: {result['sample_pages_checked']}")
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except Exception as e:
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print(f"❌ Failed: {e}")
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async def example_markdown_conversion():
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"""Example: Convert PDF URL to markdown"""
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print("\n📝 Converting PDF to markdown...")
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url = "https://www.w3.org/WAI/ER/tests/xhtml/testfiles/resources/pdf/dummy.pdf"
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try:
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result = await pdf_to_markdown(url)
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print(f"✅ Markdown conversion successful!")
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print(f" Pages converted: {result['pages_converted']}")
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print(f" Markdown length: {len(result['markdown'])} characters")
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print(f" First 200 characters:")
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print(f" {result['markdown'][:200]}...")
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except Exception as e:
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print(f"❌ Failed: {e}")
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async def main():
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"""Run all URL examples"""
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print("🌐 MCP PDF Tools - URL Examples")
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print("=" * 50)
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await example_text_extraction()
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await example_metadata_extraction()
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await example_scanned_detection()
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await example_markdown_conversion()
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print("\n✨ URL examples completed!")
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print("\n💡 Tips:")
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print(" • URLs are cached for 1 hour to avoid repeated downloads")
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print(" • Use HTTPS URLs for security")
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print(" • The server validates content is actually a PDF file")
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print(" • All tools support the same URL format")
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if __name__ == "__main__":
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asyncio.run(main())
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@ -6,10 +6,14 @@ import os
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import asyncio
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import tempfile
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import base64
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import hashlib
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import time
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from pathlib import Path
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from typing import Dict, Any, List, Optional, Union
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from contextlib import asynccontextmanager
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from urllib.parse import urlparse
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import logging
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import ast
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from fastmcp import FastMCP
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from pydantic import BaseModel, Field
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@ -55,8 +59,85 @@ class OCRConfig(BaseModel):
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dpi: int = Field(default=300, description="DPI for image conversion")
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# Utility functions
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# URL download cache directory
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CACHE_DIR = Path(os.environ.get("PDF_TEMP_DIR", "/tmp/mcp-pdf-processing"))
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CACHE_DIR.mkdir(exist_ok=True, parents=True)
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def parse_pages_parameter(pages: Union[str, List[int], None]) -> Optional[List[int]]:
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"""Parse pages parameter that might come as string or list"""
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if pages is None:
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return None
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if isinstance(pages, list):
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return [int(p) for p in pages]
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if isinstance(pages, str):
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try:
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# Handle string representations like "[1, 2, 3]" or "1,2,3"
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if pages.strip().startswith('[') and pages.strip().endswith(']'):
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return ast.literal_eval(pages.strip())
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elif ',' in pages:
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return [int(p.strip()) for p in pages.split(',')]
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else:
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return [int(pages.strip())]
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except (ValueError, SyntaxError) as e:
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raise ValueError(f"Invalid pages format: {pages}. Use format like [1,2,3] or 1,2,3")
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return None
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async def download_pdf_from_url(url: str) -> Path:
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"""Download PDF from URL with caching"""
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try:
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# Create cache filename based on URL hash
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url_hash = hashlib.sha256(url.encode()).hexdigest()[:16]
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cache_file = CACHE_DIR / f"cached_{url_hash}.pdf"
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# Check if cached file exists and is recent (1 hour)
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if cache_file.exists():
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file_age = time.time() - cache_file.stat().st_mtime
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if file_age < 3600: # 1 hour cache
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logger.info(f"Using cached PDF: {cache_file}")
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return cache_file
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logger.info(f"Downloading PDF from: {url}")
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headers = {
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"User-Agent": "MCP-PDF-Tools/1.0 (PDF processing server; +https://github.com/fastmcp/mcp-pdf-tools)"
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}
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async with httpx.AsyncClient(timeout=30.0, follow_redirects=True) as client:
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response = await client.get(url, headers=headers)
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response.raise_for_status()
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# Check content type
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content_type = response.headers.get("content-type", "").lower()
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if "pdf" not in content_type and "application/pdf" not in content_type:
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# Check if content looks like PDF by magic bytes
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content_start = response.content[:10]
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if not content_start.startswith(b"%PDF"):
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raise ValueError(f"URL does not contain a PDF file. Content-Type: {content_type}")
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# Save to cache
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cache_file.write_bytes(response.content)
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logger.info(f"Downloaded and cached PDF: {cache_file} ({len(response.content)} bytes)")
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return cache_file
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except httpx.HTTPError as e:
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raise ValueError(f"Failed to download PDF from URL {url}: {str(e)}")
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except Exception as e:
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raise ValueError(f"Error downloading PDF: {str(e)}")
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async def validate_pdf_path(pdf_path: str) -> Path:
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"""Validate that the path exists and is a PDF file"""
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"""Validate path (local or URL) and return local Path to PDF file"""
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# Check if it's a URL
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parsed = urlparse(pdf_path)
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if parsed.scheme in ('http', 'https'):
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if parsed.scheme == 'http':
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logger.warning(f"Using insecure HTTP URL: {pdf_path}")
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return await download_pdf_from_url(pdf_path)
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# Handle local path
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path = Path(pdf_path)
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if not path.exists():
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raise ValueError(f"File not found: {pdf_path}")
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@ -126,20 +207,23 @@ async def extract_with_pypdf(pdf_path: Path, pages: Optional[List[int]] = None,
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return "\n\n".join(text_parts)
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# Main text extraction tool
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@mcp.tool(name="extract_text", description="Extract text from PDF with intelligent method selection")
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@mcp.tool(
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name="extract_text",
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description="Extract text from PDF with intelligent method selection"
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)
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async def extract_text(
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pdf_path: str,
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method: str = "auto",
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pages: Optional[List[int]] = None,
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method: str = "auto",
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pages: Optional[str] = None, # Accept as string for MCP compatibility
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preserve_layout: bool = False
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) -> Dict[str, Any]:
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"""
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Extract text from PDF using various methods
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Args:
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pdf_path: Path to the PDF file
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pdf_path: Path to PDF file or HTTPS URL
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method: Extraction method (auto, pymupdf, pdfplumber, pypdf)
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pages: List of page numbers to extract (0-indexed), None for all pages
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pages: Page numbers to extract as string like "1,2,3" or "[1,2,3]", None for all pages (0-indexed)
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preserve_layout: Whether to preserve the original text layout
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Returns:
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@ -150,6 +234,7 @@ async def extract_text(
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try:
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path = await validate_pdf_path(pdf_path)
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parsed_pages = parse_pages_parameter(pages)
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# Auto-select method based on PDF characteristics
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if method == "auto":
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@ -163,11 +248,11 @@ async def extract_text(
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# Extract text using selected method
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if method == "pymupdf":
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text = await extract_with_pymupdf(path, pages, preserve_layout)
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text = await extract_with_pymupdf(path, parsed_pages, preserve_layout)
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elif method == "pdfplumber":
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text = await extract_with_pdfplumber(path, pages, preserve_layout)
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text = await extract_with_pdfplumber(path, parsed_pages, preserve_layout)
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elif method == "pypdf":
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text = await extract_with_pypdf(path, pages, preserve_layout)
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text = await extract_with_pypdf(path, parsed_pages, preserve_layout)
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else:
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raise ValueError(f"Unknown extraction method: {method}")
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@ -248,7 +333,7 @@ async def extract_tables_pdfplumber(pdf_path: Path, pages: Optional[List[int]] =
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@mcp.tool(name="extract_tables", description="Extract tables from PDF with automatic method selection")
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async def extract_tables(
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pdf_path: str,
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pages: Optional[List[int]] = None,
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pages: Optional[str] = None, # Accept as string for MCP compatibility
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method: str = "auto",
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output_format: str = "json"
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) -> Dict[str, Any]:
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@ -256,7 +341,7 @@ async def extract_tables(
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Extract tables from PDF using various methods
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Args:
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pdf_path: Path to the PDF file
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pdf_path: Path to PDF file or HTTPS URL
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pages: List of page numbers to extract tables from (0-indexed)
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method: Extraction method (auto, camelot, tabula, pdfplumber)
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output_format: Output format (json, csv, markdown)
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@ -269,6 +354,7 @@ async def extract_tables(
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try:
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path = await validate_pdf_path(pdf_path)
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parsed_pages = parse_pages_parameter(pages)
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all_tables = []
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methods_tried = []
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@ -278,11 +364,11 @@ async def extract_tables(
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methods_tried.append(try_method)
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if try_method == "camelot":
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tables = await extract_tables_camelot(path, pages)
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tables = await extract_tables_camelot(path, parsed_pages)
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elif try_method == "pdfplumber":
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tables = await extract_tables_pdfplumber(path, pages)
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tables = await extract_tables_pdfplumber(path, parsed_pages)
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elif try_method == "tabula":
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tables = await extract_tables_tabula(path, pages)
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tables = await extract_tables_tabula(path, parsed_pages)
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if tables:
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method = try_method
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@ -292,11 +378,11 @@ async def extract_tables(
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# Use specific method
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methods_tried.append(method)
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if method == "camelot":
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all_tables = await extract_tables_camelot(path, pages)
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all_tables = await extract_tables_camelot(path, parsed_pages)
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elif method == "pdfplumber":
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all_tables = await extract_tables_pdfplumber(path, pages)
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all_tables = await extract_tables_pdfplumber(path, parsed_pages)
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elif method == "tabula":
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all_tables = await extract_tables_tabula(path, pages)
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all_tables = await extract_tables_tabula(path, parsed_pages)
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else:
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raise ValueError(f"Unknown table extraction method: {method}")
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@ -345,13 +431,13 @@ async def ocr_pdf(
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languages: List[str] = ["eng"],
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preprocess: bool = True,
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dpi: int = 300,
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pages: Optional[List[int]] = None
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pages: Optional[str] = None # Accept as string for MCP compatibility
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) -> Dict[str, Any]:
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"""
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Perform OCR on a scanned PDF
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Args:
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pdf_path: Path to the PDF file
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pdf_path: Path to PDF file or HTTPS URL
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languages: List of language codes for OCR (e.g., ["eng", "fra"])
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preprocess: Whether to preprocess images for better OCR
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dpi: DPI for PDF to image conversion
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@ -365,12 +451,13 @@ async def ocr_pdf(
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try:
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path = await validate_pdf_path(pdf_path)
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parsed_pages = parse_pages_parameter(pages)
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# Convert PDF pages to images
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with tempfile.TemporaryDirectory() as temp_dir:
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if pages:
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if parsed_pages:
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images = []
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for page_num in pages:
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for page_num in parsed_pages:
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page_images = convert_from_path(
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str(path),
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dpi=dpi,
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@ -461,7 +548,7 @@ async def get_document_structure(pdf_path: str) -> Dict[str, Any]:
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Extract document structure including headers, sections, and metadata
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Args:
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pdf_path: Path to the PDF file
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pdf_path: Path to PDF file or HTTPS URL
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Returns:
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Dictionary containing document structure information
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@ -532,13 +619,13 @@ async def pdf_to_markdown(
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pdf_path: str,
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include_images: bool = True,
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include_metadata: bool = True,
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pages: Optional[List[int]] = None
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pages: Optional[str] = None # Accept as string for MCP compatibility
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) -> Dict[str, Any]:
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"""
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Convert PDF to markdown format
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Args:
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pdf_path: Path to the PDF file
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pdf_path: Path to PDF file or HTTPS URL
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include_images: Whether to extract and include images
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include_metadata: Whether to include document metadata
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pages: Specific pages to convert (0-indexed)
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@ -551,6 +638,7 @@ async def pdf_to_markdown(
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try:
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path = await validate_pdf_path(pdf_path)
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parsed_pages = parse_pages_parameter(pages)
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doc = fitz.open(str(path))
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markdown_parts = []
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@ -575,7 +663,7 @@ async def pdf_to_markdown(
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markdown_parts.append("\n---\n")
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# Process pages
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page_range = pages if pages else range(len(doc))
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page_range = parsed_pages if parsed_pages else range(len(doc))
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images_extracted = []
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for page_num in page_range:
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@ -638,7 +726,7 @@ async def pdf_to_markdown(
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@mcp.tool(name="extract_images", description="Extract images from PDF")
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async def extract_images(
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pdf_path: str,
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pages: Optional[List[int]] = None,
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pages: Optional[str] = None, # Accept as string for MCP compatibility
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min_width: int = 100,
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min_height: int = 100,
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output_format: str = "png"
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@ -647,7 +735,7 @@ async def extract_images(
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Extract images from PDF
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Args:
|
||||
pdf_path: Path to the PDF file
|
||||
pdf_path: Path to PDF file or HTTPS URL
|
||||
pages: Specific pages to extract images from (0-indexed)
|
||||
min_width: Minimum image width to extract
|
||||
min_height: Minimum image height to extract
|
||||
@ -658,10 +746,11 @@ async def extract_images(
|
||||
"""
|
||||
try:
|
||||
path = await validate_pdf_path(pdf_path)
|
||||
parsed_pages = parse_pages_parameter(pages)
|
||||
doc = fitz.open(str(path))
|
||||
|
||||
images = []
|
||||
page_range = pages if pages else range(len(doc))
|
||||
page_range = parsed_pages if parsed_pages else range(len(doc))
|
||||
|
||||
for page_num in page_range:
|
||||
page = doc[page_num]
|
||||
@ -714,7 +803,7 @@ async def extract_metadata(pdf_path: str) -> Dict[str, Any]:
|
||||
Extract comprehensive metadata from PDF
|
||||
|
||||
Args:
|
||||
pdf_path: Path to the PDF file
|
||||
pdf_path: Path to PDF file or HTTPS URL
|
||||
|
||||
Returns:
|
||||
Dictionary containing all available metadata
|
||||
|
52
test_pages_parameter.py
Normal file
52
test_pages_parameter.py
Normal file
@ -0,0 +1,52 @@
|
||||
#!/usr/bin/env python3
|
||||
"""
|
||||
Test the updated pages parameter parsing
|
||||
"""
|
||||
|
||||
import asyncio
|
||||
import sys
|
||||
import os
|
||||
|
||||
# Add src to path
|
||||
sys.path.insert(0, 'src')
|
||||
|
||||
from mcp_pdf_tools.server import parse_pages_parameter
|
||||
|
||||
def test_page_parsing():
|
||||
"""Test page parameter parsing"""
|
||||
print("Testing page parameter parsing...")
|
||||
|
||||
# Test different input formats
|
||||
test_cases = [
|
||||
(None, None),
|
||||
("1,2,3", [1, 2, 3]),
|
||||
("[2, 3]", [2, 3]), # This is the problematic case from the user
|
||||
("5", [5]),
|
||||
([0, 1, 2], [0, 1, 2]),
|
||||
("0,1,2", [0, 1, 2]),
|
||||
("[0,1,2]", [0, 1, 2])
|
||||
]
|
||||
|
||||
all_passed = True
|
||||
|
||||
for input_val, expected in test_cases:
|
||||
try:
|
||||
result = parse_pages_parameter(input_val)
|
||||
if result == expected:
|
||||
print(f"✅ '{input_val}' -> {result}")
|
||||
else:
|
||||
print(f"❌ '{input_val}' -> {result}, expected {expected}")
|
||||
all_passed = False
|
||||
except Exception as e:
|
||||
print(f"❌ '{input_val}' -> Error: {e}")
|
||||
all_passed = False
|
||||
|
||||
return all_passed
|
||||
|
||||
if __name__ == "__main__":
|
||||
success = test_page_parsing()
|
||||
if success:
|
||||
print("\n🎉 All page parameter parsing tests passed!")
|
||||
else:
|
||||
print("\n🚨 Some tests failed!")
|
||||
sys.exit(0 if success else 1)
|
71
test_url_support.py
Normal file
71
test_url_support.py
Normal file
@ -0,0 +1,71 @@
|
||||
#!/usr/bin/env python3
|
||||
"""
|
||||
Test URL support for MCP PDF Tools
|
||||
"""
|
||||
|
||||
import asyncio
|
||||
import sys
|
||||
import os
|
||||
|
||||
# Add src to path
|
||||
sys.path.insert(0, 'src')
|
||||
|
||||
from mcp_pdf_tools.server import validate_pdf_path, download_pdf_from_url
|
||||
|
||||
async def test_url_validation():
|
||||
"""Test URL validation and download"""
|
||||
print("Testing URL validation and download...")
|
||||
|
||||
# Test with a known PDF URL (using a publicly available sample)
|
||||
test_url = "https://www.w3.org/WAI/ER/tests/xhtml/testfiles/resources/pdf/dummy.pdf"
|
||||
|
||||
try:
|
||||
print(f"Testing URL: {test_url}")
|
||||
path = await validate_pdf_path(test_url)
|
||||
print(f"✅ Successfully downloaded and validated PDF: {path}")
|
||||
print(f" File size: {path.stat().st_size} bytes")
|
||||
return True
|
||||
|
||||
except Exception as e:
|
||||
print(f"❌ URL test failed: {e}")
|
||||
return False
|
||||
|
||||
async def test_local_path():
|
||||
"""Test that local paths still work"""
|
||||
print("\nTesting local path validation...")
|
||||
|
||||
# Test with our existing test PDF
|
||||
test_path = "/tmp/test_text.pdf"
|
||||
|
||||
if not os.path.exists(test_path):
|
||||
print(f"⚠️ Test file {test_path} not found, skipping local test")
|
||||
return True
|
||||
|
||||
try:
|
||||
path = await validate_pdf_path(test_path)
|
||||
print(f"✅ Local path validation works: {path}")
|
||||
return True
|
||||
|
||||
except Exception as e:
|
||||
print(f"❌ Local path test failed: {e}")
|
||||
return False
|
||||
|
||||
async def main():
|
||||
print("🧪 Testing MCP PDF Tools URL Support\n")
|
||||
|
||||
url_success = await test_url_validation()
|
||||
local_success = await test_local_path()
|
||||
|
||||
print(f"\n📊 Test Results:")
|
||||
print(f" URL support: {'✅ PASS' if url_success else '❌ FAIL'}")
|
||||
print(f" Local paths: {'✅ PASS' if local_success else '❌ FAIL'}")
|
||||
|
||||
if url_success and local_success:
|
||||
print("\n🎉 All tests passed! URL support is working.")
|
||||
return 0
|
||||
else:
|
||||
print("\n🚨 Some tests failed.")
|
||||
return 1
|
||||
|
||||
if __name__ == "__main__":
|
||||
sys.exit(asyncio.run(main()))
|
Loading…
x
Reference in New Issue
Block a user