Does the server work without a Limitless Pendant?
No. The server depends on real data recorded from your Limitless Pendant; it will not return meaningful results without it.
@ipvr9
Basic information
This is an MCP (Model Context Protocol) server that connects your Limitless Pendant data to AI tools like Claude, Windsurf, and others via the Limitless API. It lets AI apps and agents interact with your Lifelog in a structured, programmable way.
No standard config provided
This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.
RepositoryTool list not available yet
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We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
Limitless MCP Server connects your Limitless Pendant data to AI tools like Claude and Windsurf via the Limitless API, allowing AI chat interfaces and agents to interact with your Lifelog in a structured, programmable way. It is designed for users of the Limitless Pendant who want to query and search recorded lifelogs through MCP-compatible clients.
Clone the repository, run npm install and npm run build, then configure your MCP client with the server block specifying command: node, args: the path to dist/server.js, and environment variable LIMITLESS_API_KEY. Start your MCP client application—it launches the server automatically when needed. Do not run npm start directly.
No. The server depends on real data recorded from your Limitless Pendant; it will not return meaningful results without it.
The Limitless API is currently in beta and may be unreliable, subject to change, or experience temporary outages. Large requests may time out with 504 errors.
No. `limitless_search_lifelogs` only scans recent logs (default 20, maximum 100). Use listing tools for broader analysis.
The server uses `stdio` transport and is meant to be launched by an MCP-compatible client application. It does not run as a standalone process.
Each API call has a 120-second timeout to mitigate large request failures, but very large requests may still time out.
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Model Context Protocol Servers
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