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FalkorDB MCP Server

by FalkorDB

The FalkorDB MCP Server allows AI models to query and interact with graph databases using the Model Context Protocol (MCP). It translates and routes MCP requests to FalkorDB and formats the responses according to the MCP standard.

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What is FalkorDB MCP Server?

The FalkorDB MCP Server is an implementation of the Model Context Protocol (MCP) specification, designed to bridge the gap between AI models and FalkorDB graph databases. It acts as an intermediary, translating MCP requests into FalkorDB queries and formatting the responses for consumption by AI models.

How to use FalkorDB MCP Server?

  1. Clone the repository. 2. Install dependencies using npm install. 3. Configure the server by copying .env.example to .env and editing the environment variables (FALKORDB_HOST, FALKORDB_PORT, MCP_API_KEY, etc.). 4. Start the server in development mode using npm run dev or build and start for production using npm run build and npm start. 5. Configure your MCP client to point to the server's API endpoints.

Key features of FalkorDB MCP Server

  • MCP Compliant

  • FalkorDB Integration

  • API Key Authentication

  • Configurable via Environment Variables

  • Health Check Endpoint

Use cases of FalkorDB MCP Server

  • Enabling AI models to query graph data

  • Providing context from graph databases to AI applications

  • Integrating FalkorDB with MCP-based AI workflows

  • Building AI-powered applications that leverage graph data

  • Creating a standardized interface for AI models to interact with graph databases

FAQ from FalkorDB MCP Server

What is MCP?

MCP stands for Model Context Protocol. It's a specification for enabling AI models to query and interact with data sources.

What is FalkorDB?

FalkorDB is a graph database.

How do I configure the server?

Configuration is managed through environment variables in the .env file.

What are the API endpoints?

The API endpoints include /api/mcp/metadata, /api/mcp/context, /api/mcp/health, and /api/mcp/graphs.

How do I contribute?

Contributions are welcome! Please feel free to submit a Pull Request.