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- FalkorDB-MCPServer
Falkordb Mcpserver
What is Falkordb Mcpserver
FalkorDB-MCPServer is a Model Context Protocol (MCP) server designed to connect AI models with FalkorDB graph databases, enabling efficient querying and interaction with graph data.
Use cases
Use cases include querying complex graph structures, enabling AI models to access and manipulate graph data, and integrating graph databases into AI workflows for enhanced data insights.
How to use
To use FalkorDB-MCPServer, clone the repository, install dependencies, configure the environment variables in the .env file, and then start the server for development or production using the specified npm commands.
Key features
Key features include support for MCP requests, integration with FalkorDB, API endpoints for metadata retrieval, query execution, and health checks, as well as configuration through environment variables.
Where to use
FalkorDB-MCPServer can be used in fields that require AI model integration with graph databases, such as data analysis, machine learning, and AI-driven applications.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Falkordb Mcpserver
FalkorDB-MCPServer is a Model Context Protocol (MCP) server designed to connect AI models with FalkorDB graph databases, enabling efficient querying and interaction with graph data.
Use cases
Use cases include querying complex graph structures, enabling AI models to access and manipulate graph data, and integrating graph databases into AI workflows for enhanced data insights.
How to use
To use FalkorDB-MCPServer, clone the repository, install dependencies, configure the environment variables in the .env file, and then start the server for development or production using the specified npm commands.
Key features
Key features include support for MCP requests, integration with FalkorDB, API endpoints for metadata retrieval, query execution, and health checks, as well as configuration through environment variables.
Where to use
FalkorDB-MCPServer can be used in fields that require AI model integration with graph databases, such as data analysis, machine learning, and AI-driven applications.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
FalkorDB MCP Server
A Model Context Protocol (MCP) server for FalkorDB, allowing AI models to query and interact with graph databases.
Overview
This project implements a server that follows the Model Context Protocol (MCP) specification to connect AI models with FalkorDB graph databases. The server translates and routes MCP requests to FalkorDB and formats the responses according to the MCP standard.
Prerequisites
- Node.js (v16 or later)
- npm or yarn
- FalkorDB instance (can be run locally or remotely)
Installation
-
Clone this repository:
git clone https://github.com/falkordb/falkordb-mcpserver.git cd falkordb-mcpserver -
Install dependencies:
npm install -
Copy the example environment file and configure it:
cp .env.example .envEdit
.envwith your configuration details.
Configuration
Configuration is managed through environment variables in the .env file:
PORT: Server port (default: 3000)NODE_ENV: Environment (development, production)FALKORDB_HOST: FalkorDB host (default: localhost)FALKORDB_PORT: FalkorDB port (default: 6379)FALKORDB_USERNAME: Username for FalkorDB authentication (if required)FALKORDB_PASSWORD: Password for FalkorDB authentication (if required)MCP_API_KEY: API key for authenticating MCP requests
Usage
Development
Start the development server with hot-reloading:
npm run dev
Production
Build and start the server:
npm run build npm start
API Endpoints
GET /api/mcp/metadata: Get metadata about the FalkorDB instance and available capabilitiesPOST /api/mcp/context: Execute queries against FalkorDBGET /api/mcp/health: Check server healthGET /api/mcp/graphs: Returns the list of Graphs
MCP Configuration
To use this server with MCP clients, you can add it to your MCP configuration:
{
"mcpServers": {
"falkordb": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-p",
"3000:3000",
"--env-file",
".env",
"falkordb-mcpserver",
"falkordb://host.docker.internal:6379"
]
}
}
}
For client-side configuration:
{
"defaultServer": "falkordb",
"servers": {
"falkordb": {
"url": "http://localhost:3000/api/mcp",
"apiKey": "your_api_key_here"
}
}
}
Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
License
This project is licensed under the MIT License - see the LICENSE file for details.
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.










