Agent MCP Server - Development Log

🎯 Project Vision

Building an MCP server that serves our 32 specialized agent templates to any Claude Code project. This eliminates manual agent copying and provides intelligent, context-aware agent recommendations.

🧠 Key Insight

Recursive Bootstrap: Using our own agent template system to build the very MCP server that will make the agent system even better! This is a perfect test of our evidence-based agent creation methodology.

📊 Starting State

32 agent templates with unique emojis (🎭🔮🐍🌈🎨🎣🏎️🚄🌲📫📈📐📖🏔️🧠🚀👻♻️🐛⌨️👥🏗️💛💙🧪🪝🔌🔒⚔️🐳💻📱)
14,253+ lines of expertise across Claude Code configuration, workflows, and technologies
Evidence-based design from real conversation pattern analysis
app-template.md perfect for FastMCP + FastAPI + Docker project

🗓️ Development Timeline

2025-01-07 - Project Initialization

Thinking: Following our own bootstrap methodology - start with project structure, then use 🎭-subagent-expert to recommend the perfect team.

Actions:

Created /home/rpm/claude/agent-mcp-server/ directory
Started development log to capture the recursive nature of this build

Actions Completed:

✅ Created project directory: /home/rpm/claude/agent-mcp-server/
✅ Copied app-template.md → CLAUDE.md (perfect FastMCP + Docker template)
✅ Initialized git repository (following template requirements)
✅ Installed 🎭-subagent-expert as coordinator

Key Insight: The bootstrap process is working exactly as designed! Template → Git → Coordinator Agent → Team Assembly

Next: Ask 🎭-subagent-expert to analyze CLAUDE.md and recommend the perfect agent team

Phase 1 Complete: Bootstrap Foundation ✅

The agent system just recommended its own development team! 🤯

🎭-subagent-expert recommendations:

🔮-python-mcp-expert (FastMCP mastery)
🚄-fastapi-expert (high-performance API)
🐳-docker-infrastructure-expert (containerization)
🧪-testing-integration-expert (comprehensive testing)
🔒-security-audit-expert (MCP security)
📖-readme-expert (documentation excellence)

Phase 2 Progress: FastMCP Server Foundation ⚡

✅ Created pyproject.toml with FastMCP 2.12.2+ and Python 3.13
✅ Set up environment configuration (.env with domain/database settings)
✅ Built source structure following app-template.md patterns
✅ Implemented main.py with core MCP tools:
- recommend_agents() - The core intelligence!
- get_agent_content() - Agent delivery system
- analyze_project() - Deep project understanding
- list_available_agents() - Browseable catalog
- get_server_stats() - Performance metrics

Meta-insight: The system is now at the fascinating point where it's building the infrastructure for its own improvement! 🚀

This log will capture both the technical implementation and the meta-insights about building systems that improve themselves.

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