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v4.5.0 - API-First MCP Architecture

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@ronkoch2-code ronkoch2-code released this 22 Nov 14:45
· 2 commits to main since this release

πŸš€ API-First MCP Architecture & Legacy Cleanup

New Features

API-First MCP Server (mcp_server/server_api_client.py)

  • Thin HTTP client calls FastAPI backend (468 lines)
  • 5 MCP tools via HTTP API:
    • check_status - API health and connectivity
    • search_standards - Search with filters
    • analyze_code - Code analysis
    • list_standards - List all standards
    • get_recommendations - Improvement suggestions
  • Clean stdout (MCP protocol compliant - no Neo4j pollution)
  • Multi-client support (Claude Desktop, Claude Code, other agents)
  • Remote access capability via HTTP

Architecture Improvements

Before: MCP β†’ Direct Neo4j/Files β†’ Stdout pollution, single-client
After: MCP Client β†’ HTTP API β†’ FastAPI β†’ Neo4j β†’ Clean stdout, multi-client

Benefits:

  • Remote API access (not just local file-based)
  • Centralized authentication and rate limiting
  • Redis caching for improved performance
  • 3,420 standards accessible via Neo4j
  • Graceful degradation when services unavailable

Documentation

  • API_FIRST_MCP_IMPLEMENTATION.md (321 lines): Architecture, testing, next steps
  • MCP_SERVER_ARCHITECTURE_ANALYSIS.md (303 lines): Server evolution, Issue #11 investigation
  • .mcp.json: Claude Desktop configuration

Cleanup

  • Archived 8 legacy MCP server files to mcp_server/archive/
  • Organized test files into tests/integration/
  • Resolves GitHub Issue #11 (MCP server confusion)

Two MCP Server Options

  1. server_simple.py (Local, file-based) - For simple deployments
  2. server_api_client.py (Remote, HTTP API) - NEW - For remote access

Both are production-ready and MCP protocol compliant.

Testing

  • API server verified running on port 8000
  • Health endpoint healthy
  • Neo4j connected (3,420 standards)
  • Redis connected (caching available)
  • HTTP endpoints returning 200 OK

Backward Compatibility

  • No breaking changes
  • server_simple.py still available for local use
  • All existing functionality preserved

See DEVELOPMENT_STATE.md for detailed implementation notes.