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FalkorDB MCP Server

by FalkorDB

Data/Databasesgraph databaseFalkorDBserver

The FalkorDB MCP Server connects AI models with FalkorDB graph databases using the Model Context Protocol. 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) server designed to facilitate communication between AI models and FalkorDB graph databases.

How to use FalkorDB MCP Server?

  1. Clone the repository. 2. Install dependencies using npm or yarn. 3. Configure the environment variables in the .env file, including FalkorDB connection details and API key. 4. Start the server in development mode using npm run dev or build and start it in production mode using npm run build and npm start. 5. Configure your MCP client to point to the server's URL and API key.

Key features of FalkorDB MCP Server

  • MCP Compliant

  • FalkorDB Integration

  • API Key Authentication

  • Metadata Retrieval

  • Context Query Execution

Use cases of FalkorDB MCP Server

  • AI-powered graph analytics

  • Knowledge graph querying

  • Model-driven data exploration

  • Automated data extraction for AI models

  • Contextual data enrichment for AI applications

FAQ from FalkorDB MCP Server

What is MCP?

MCP stands for Model Context Protocol, a standard for connecting AI models with data sources.

What is FalkorDB?

FalkorDB is a high-performance graph database built on Redis.

How do I configure the server?

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

What are the API endpoints?

The server provides endpoints for metadata retrieval, context query execution, and health checks.

How do I contribute to the project?

Contributions are welcome! Please submit a Pull Request.