Major Changes: - Implemented MCP HTTP/SSE transport server for n8n and web clients - Created mcp_server/http_server.py with FastAPI for JSON-RPC 2.0 over HTTP - Added health check endpoint (/health) for container monitoring - Refactored mcp-server/ to mcp_server/ (Python module structure) - Updated Dockerfile.mcp to run HTTP server with health checks MCP Server Features: - 7 memory tools exposed via MCP (add, search, get, update, delete) - HTTP/SSE transport on port 8765 for n8n integration - stdio transport for Claude Code integration - JSON-RPC 2.0 protocol implementation - CORS support for web clients n8n Integration: - Successfully tested with AI Agent workflows - MCP Client Tool configuration documented - Working webhook endpoint tested and verified - System prompt optimized for automatic user_id usage Documentation: - Created comprehensive Mintlify documentation site - Added docs/mcp/introduction.mdx - MCP server overview - Added docs/mcp/installation.mdx - Installation guide - Added docs/mcp/tools.mdx - Complete tool reference - Added docs/examples/n8n.mdx - n8n integration guide - Added docs/examples/claude-code.mdx - Claude Code setup - Updated README.md with MCP HTTP server info - Updated roadmap to mark Phase 1 as complete Bug Fixes: - Fixed synchronized delete operations across Supabase and Neo4j - Updated memory_service.py with proper error handling - Fixed Neo4j connection issues in delete operations Configuration: - Added MCP_HOST and MCP_PORT environment variables - Updated .env.example with MCP server configuration - Updated docker-compose.yml with MCP container health checks Testing: - Added test scripts for MCP HTTP endpoint verification - Created test workflows in n8n - Verified all 7 memory tools working correctly - Tested synchronized operations across both stores Version: 1.0.0 Status: Phase 1 Complete - Production Ready 🤖 Generated with Claude Code Co-Authored-By: Claude <noreply@anthropic.com>
73 lines
2.4 KiB
Python
73 lines
2.4 KiB
Python
#!/usr/bin/env python3
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"""Clean up orphaned Neo4j graph data"""
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import asyncio
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from neo4j import GraphDatabase
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from config import settings
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async def cleanup_neo4j():
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"""Remove all nodes and relationships from Neo4j"""
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print("=" * 60)
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print("Neo4j Graph Store Cleanup")
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print("=" * 60)
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try:
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driver = GraphDatabase.driver(
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settings.neo4j_uri,
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auth=(settings.neo4j_user, settings.neo4j_password)
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)
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with driver.session() as session:
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# Count before cleanup
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result = session.run("MATCH (n) RETURN count(n) as count")
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nodes_before = result.single()['count']
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result = session.run("MATCH ()-[r]->() RETURN count(r) as count")
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rels_before = result.single()['count']
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print(f"\nBefore cleanup:")
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print(f" • Nodes: {nodes_before}")
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print(f" • Relationships: {rels_before}")
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# Delete all relationships first
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print("\n[1] Deleting all relationships...")
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result = session.run("MATCH ()-[r]->() DELETE r RETURN count(r) as deleted")
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rels_deleted = result.single()['deleted']
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print(f"✓ Deleted {rels_deleted} relationships")
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# Delete all nodes
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print("\n[2] Deleting all nodes...")
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result = session.run("MATCH (n) DELETE n RETURN count(n) as deleted")
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nodes_deleted = result.single()['deleted']
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print(f"✓ Deleted {nodes_deleted} nodes")
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# Verify cleanup
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result = session.run("MATCH (n) RETURN count(n) as count")
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nodes_after = result.single()['count']
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result = session.run("MATCH ()-[r]->() RETURN count(r) as count")
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rels_after = result.single()['count']
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print(f"\nAfter cleanup:")
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print(f" • Nodes: {nodes_after}")
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print(f" • Relationships: {rels_after}")
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if nodes_after == 0 and rels_after == 0:
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print("\n✅ Neo4j graph store successfully cleaned!")
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else:
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print(f"\n⚠️ Warning: {nodes_after} nodes and {rels_after} relationships remain")
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driver.close()
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except Exception as e:
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print(f"\n❌ Error during cleanup: {e}")
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import traceback
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traceback.print_exc()
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return 1
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print("\n" + "=" * 60)
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return 0
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if __name__ == "__main__":
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exit_code = asyncio.run(cleanup_neo4j())
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exit(exit_code)
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