
limitless mcp server
A Model Context Protocol server, client and interactive mode for Limitless API
Repository Info
About This Server
A Model Context Protocol server, client and interactive mode for Limitless API
Model Context Protocol (MCP) - This server can be integrated with AI applications to provide additional context and capabilities, enabling enhanced AI interactions and functionality.
Documentation
Limitless MCP Integration
This repository provides a minimal MCP server/client implementation for interacting with the Limitless Developer API (GET endpoint only). It demonstrates how to expose API endpoints as MCP tools and how to call them via a client using a single merged codebase.
Features
- MCP Server: Exposes a GET endpoint:
getLifelogs: List lifelogs with optional query parameters.
- MCP Client: Connects to the server and calls the tools.
- Interactive Mode: Allows calling any tool with JSON parameters.
- Passes environment variables (including API key) to the spawned server.
Prerequisites
- Node.js v20 or higher (with native fetch support or a polyfill)
- npm
- A valid Limitless API key
Setup
- Clone the repository and navigate into it.
- Install dependencies:
npm ci
- Export your API key:
export LIMITLESS_API_KEY=your_api_key_here
Build
Compile the TypeScript code:
npm run build
Usage
The merged implementation supports three modes:
- Server Mode: Runs the MCP server.
node build/index.js server
- Client Mode: Spawns the server and calls the
getLifelogstool.
node build/index.js client
- Interactive Mode: Launches an interactive client to call tools with JSON parameters.
node build/index.js interactive
References
- Limitless Developer API Documentation
- Limitless API Examples on GitHub
License
This project is licensed under the MIT License.
Quick Start
Clone the repository
git clone https://github.com/manueltarouca/limitless-mcp-serverInstall dependencies
cd limitless-mcp-server
npm installFollow the documentation
Check the repository's README.md file for specific installation and usage instructions.
Repository Details
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