✨ Add MCP resource URIs for extracted PDF images
Implement proper MCP resource protocol for image access, eliminating the need
for clients to handle local file paths and enabling seamless image integration.
Key Features:
• MCP Resource Endpoint: pdf-image://{image_id} for direct image access
• extract_images(): Returns resource_uri field with MCP resource links
• pdf_to_markdown(): Embeds resource URIs in markdown image references
• Automatic MIME type detection (image/png, image/jpeg)
• Seamless client integration without file path handling
Benefits:
✅ Direct image access via MCP resource protocol
✅ No local file path dependencies for MCP clients
✅ Proper MIME type handling for image display
✅ Clean markdown with working image links
✅ Standards-compliant MCP resource implementation
Response Format Enhancement:
+ "resource_uri": "pdf-image://page_1_image_0"
+ Works in markdown: \
+ MIME Type: image/png or image/jpeg
+ Direct client access without file system dependencies
This resolves the limitation where extracted images were only available
as local file paths, making them truly accessible to MCP clients
through the standardized resource protocol.
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
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CLAUDE.md
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CLAUDE.md
@ -79,16 +79,17 @@ uv publish
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2. **Table Extraction**: `extract_tables` - Auto-fallback through Camelot → pdfplumber → Tabula
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3. **OCR Processing**: `ocr_pdf` - Tesseract with preprocessing options
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4. **Document Analysis**: `is_scanned_pdf`, `get_document_structure`, `extract_metadata`
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5. **Format Conversion**: `pdf_to_markdown` - Clean markdown with file-based images (no verbose base64)
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6. **Image Processing**: `extract_images` - Size filtering and file-based output (avoids context overflow)
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5. **Format Conversion**: `pdf_to_markdown` - Clean markdown with MCP resource URIs for images
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6. **Image Processing**: `extract_images` - Extract images with MCP resource URIs for direct client access
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### MCP Client-Friendly Design
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**Optimized for MCP Context Management:**
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- **Image Processing**: `extract_images` and `pdf_to_markdown` save images to files instead of returning base64 data
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- **Prevents Context Overflow**: Avoids verbose output that can fill client message windows
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- **File-Based Results**: Returns file paths, dimensions, and metadata instead of raw binary data
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- **Human-Readable Sizes**: Includes formatted file sizes (e.g., "1.2 MB") for better user experience
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- **Image Processing**: `extract_images` and `pdf_to_markdown` return MCP resource URIs for direct image access
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- **Resource URIs**: Images accessible via `pdf-image://{image_id}` protocol for seamless client integration
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- **Prevents Context Overflow**: Avoids verbose base64 output that fills client message windows
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- **File-Based Storage**: Images saved to cache with metadata including file paths and human-readable sizes
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- **Direct Access**: MCP clients can fetch images directly using resource URIs
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### Intelligent Fallbacks
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@ -38,6 +38,43 @@ logger = logging.getLogger(__name__)
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# Initialize FastMCP server
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mcp = FastMCP("pdf-tools")
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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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# Resource for serving extracted images
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@mcp.resource("pdf-image://{image_id}",
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description="Extracted PDF image",
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mime_type="image/png")
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async def get_pdf_image(image_id: str) -> bytes:
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"""
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Serve extracted PDF images as MCP resources.
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Args:
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image_id: Image identifier (filename without extension)
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Returns:
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Raw image bytes
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"""
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try:
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# Reconstruct the image path from the ID
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image_path = CACHE_DIR / f"{image_id}.png"
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# Try .jpeg as well if .png doesn't exist
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if not image_path.exists():
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image_path = CACHE_DIR / f"{image_id}.jpeg"
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if not image_path.exists():
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raise FileNotFoundError(f"Image not found: {image_id}")
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# Read and return the image bytes
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with open(image_path, 'rb') as f:
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return f.read()
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except Exception as e:
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logger.error(f"Failed to serve image {image_id}: {str(e)}")
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raise
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# Configuration models
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class ExtractionConfig(BaseModel):
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"""Configuration for text extraction"""
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@ -58,9 +95,6 @@ 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 format_file_size(size_bytes: int) -> str:
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"""Format file size in human-readable format"""
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@ -635,7 +669,7 @@ async def get_document_structure(pdf_path: str) -> Dict[str, Any]:
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return {"error": f"Failed to extract document structure: {str(e)}"}
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# PDF to Markdown conversion
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@mcp.tool(name="pdf_to_markdown", description="Convert PDF to clean markdown format with file-based images (avoids verbose output)")
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@mcp.tool(name="pdf_to_markdown", description="Convert PDF to markdown with MCP resource URIs for images")
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async def pdf_to_markdown(
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pdf_path: str,
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include_images: bool = True,
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@ -643,16 +677,16 @@ async def pdf_to_markdown(
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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 with file-based images
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Convert PDF to markdown format with MCP resource image links
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Args:
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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 (saves to files, no base64)
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include_images: Whether to extract and include images as MCP resources
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include_metadata: Whether to include document metadata
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pages: Specific pages to convert (1-based user input, converted to 0-based)
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Returns:
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Dictionary containing markdown content with image file paths (no base64 data)
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Dictionary containing markdown content with MCP resource URIs for images
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"""
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import time
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start_time = time.time()
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@ -720,18 +754,24 @@ async def pdf_to_markdown(
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pix.save(str(img_path))
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file_size = img_path.stat().st_size
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# Create resource URI (filename without extension)
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image_id = img_filename.rsplit('.', 1)[0] # Remove extension
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resource_uri = f"pdf-image://{image_id}"
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images_extracted.append({
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"page": page_num + 1,
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"index": img_index,
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"file_path": str(img_path),
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"filename": img_filename,
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"resource_uri": resource_uri,
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"width": pix.width,
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"height": pix.height,
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"size_bytes": file_size,
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"size_human": format_file_size(file_size)
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})
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# Reference the saved file in markdown
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markdown_parts.append(f"\n\n")
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# Reference the resource URI in markdown
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markdown_parts.append(f"\n\n")
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pix = None
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doc.close()
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@ -752,7 +792,7 @@ async def pdf_to_markdown(
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return {"error": f"Conversion failed: {str(e)}"}
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# Image extraction
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@mcp.tool(name="extract_images", description="Extract images from PDF and save to files (avoids verbose base64 output)")
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@mcp.tool(name="extract_images", description="Extract images from PDF with MCP resource URIs for direct access")
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async def extract_images(
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pdf_path: str,
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pages: Optional[str] = None, # Accept as string for MCP compatibility
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@ -761,7 +801,7 @@ async def extract_images(
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output_format: str = "png"
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) -> Dict[str, Any]:
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"""
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Extract images from PDF and save to files
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Extract images from PDF with MCP resource access
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Args:
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pdf_path: Path to PDF file or HTTPS URL
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@ -771,7 +811,7 @@ async def extract_images(
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output_format: Output format (png, jpeg)
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Returns:
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Dictionary containing image file paths and metadata (no base64 data to avoid verbose output)
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Dictionary containing image metadata and MCP resource URIs for direct access
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"""
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try:
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path = await validate_pdf_path(pdf_path)
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@ -803,11 +843,16 @@ async def extract_images(
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# Calculate file size
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file_size = img_path.stat().st_size
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# Create resource URI (filename without extension)
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image_id = img_filename.rsplit('.', 1)[0] # Remove extension
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resource_uri = f"pdf-image://{image_id}"
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images.append({
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"page": page_num + 1,
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"index": img_index,
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"file_path": str(img_path),
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"filename": img_filename,
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"resource_uri": resource_uri,
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"width": pix.width,
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"height": pix.height,
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"format": output_format,
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