FalkorDB MCP Server provides a bridge between AI models and FalkorDB graph databases, enabling natural language querying of graph data. Built with TypeScript and Express, it implements the Model Context Protocol to translate requests into FalkorDB queries and format responses according to MCP standards. The server features authentication via API keys, connection management for multiple FalkorDB instances, and endpoints for executing queries, retrieving metadata, and listing available graphs. It's particularly valuable for AI applications that need to analyze relationships in graph data, such as knowledge graphs, recommendation systems, or network analysis.
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Highlight AIGet metadata about the FalkorDB instance and available capabilities. This is a GET request to the endpoint /api/mcp/metadata.
Execute queries against FalkorDB. This is a POST request to the endpoint /api/mcp/context.
Check the health of the server. This is a GET request to the endpoint /api/mcp/health.
Returns the list of Graphs. This is a GET request to the endpoint /api/mcp/graphs.
