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## FalkorDB Database Integration ### 🗄️ FalkorDB Service Container - Added **FalkorDB/FalkorDB:latest** service container to GitHub Actions - **Redis protocol compatibility** with redis-cli health checks - **Port 6379** exposed for Redis/FalkorDB connectivity - **Fast startup** with 10s health checks (vs 30s for Neo4j) ### 🧪 Comprehensive FalkorDB Integration Test - **New test suite**: `test_falkordb_integration.py` - **MCP stdio client** configured for FalkorDB backend (`--database-provider falkordb`) - **Test coverage**: - Server status verification with FalkorDB - Episode addition and storage - Search functionality validation - Graph clearing operations - Complete MCP tool workflow testing ### ⚙️ GitHub Actions Workflow Enhancement - **Dual database testing**: Both Neo4j AND FalkorDB validation - **FalkorDB readiness checks**: Redis-cli ping validation with 20 attempts - **Connection testing**: Redis tools installation and connectivity verification - **Integration test execution**: 120s timeout for comprehensive FalkorDB testing - **Server startup validation**: Both database backends tested independently ### 🎯 Test Environment Configuration ```yaml services: falkordb: image: falkordb/falkordb:latest ports: [6379:6379] health-cmd: "redis-cli ping" ``` ### 🔧 Database Backend Validation - **Neo4j Integration**: Bolt protocol, cypher-shell validation - **FalkorDB Integration**: Redis protocol, redis-cli validation - **Environment Variables**: Proper credentials and connection strings - **Server Startup Tests**: Individual validation per database backend - **MCP Tool Testing**: End-to-end workflow validation per backend ### 📊 Enhanced CI Pipeline The workflow now provides **complete database backend coverage**: 1. **Syntax & Configuration** - Code quality validation 2. **Neo4j Integration** - Graph database testing (Bolt protocol) 3. **FalkorDB Integration** - Graph database testing (Redis protocol) 4. **Server Startup** - Both database backends validated 5. **MCP Functionality** - Complete tool workflow per backend This ensures the MCP server works correctly with **both supported graph database backends**, providing confidence in production deployments regardless of database choice. 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com> |
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| .env.example | ||
| .python-version | ||
| main.py | ||
| pyproject.toml | ||
| pyright_output.txt | ||
| uv.lock | ||