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Limitless MCP Server

MCP Server

Connect your Pendant data to AI assistants instantly

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Updated 14 days ago

About

A Model Context Protocol server that bridges Limitless Pendant lifelog data with AI tools such as Claude, Windsurf, and Notion. It enables structured access to recorded logs for chat interfaces and agents.

Capabilities

Resources
Access data sources
Tools
Execute functions
Prompts
Pre-built templates
Sampling
AI model interactions

Limitless MCP Server in Action

The Limitless MCP Server bridges the gap between personal Lifelog data captured by a Limitless Pendant and AI assistants that support the Model Context Protocol. By exposing the pendant’s recordings through a simple, well‑defined API, developers can turn raw biometric and activity data into actionable insights for chat agents, productivity tools, or custom workflows. This solves the long‑standing problem of siloed wearable data: instead of exporting CSVs or building bespoke integrations, a single MCP server lets any compliant AI client query, search, and retrieve logs with minimal setup.

At its core, the server offers two high‑level capabilities: listing/getting Lifelogs and searching recent logs. Clients can request a specific log by ID, filter entries by date or range, and control sorting order. The search feature scans the content of a configurable number of recent recordings for user‑supplied text, enabling quick retrieval of relevant moments—think of pulling a workout summary or a mood snapshot to feed into a note‑taking app. These functions are deliberately lightweight, focusing on the most common use cases while keeping latency low by imposing a 120‑second timeout per API call.

Developers benefit from the server’s extensibility and ease of integration. The MCP standard ensures that any AI assistant—Claude, Windsurf, Cursor, ChatWise, or future clients—can spawn the server via a simple command line and provide an API key through environment variables. Once connected, the assistant can issue structured requests and receive JSON responses that can be directly embedded in conversations or automated actions. This seamless pipeline turns personal data into context‑rich dialogue, allowing agents to ask follow‑up questions or schedule tasks based on the user’s recent activity.

Real‑world scenarios abound: a productivity assistant might pull yesterday’s workout data to suggest an energy‑boosting snack; a health coach could retrieve sleep patterns to recommend bedtime routines; or a project manager could automatically create Notion tasks from action items logged during a meeting. Because the server operates on live data from the pendant, it supports real‑time insights and can be integrated into continuous monitoring workflows or trigger-based automations.

Unique to this MCP server are its tight coupling with the Limitless API and its focus on privacy‑first data handling. All requests are authenticated with a user‑provided API key, and the server only exposes what the Limitless Pendant records—no extraneous data or third‑party calls. As the official API evolves, the server is designed to adapt quickly, with version 0.2.0 already slated for richer features and expanded tool support. For developers seeking a robust, future‑proof bridge between wearable data and AI assistants, the Limitless MCP Server delivers a clean, standards‑compliant solution that unlocks powerful context for every interaction.