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Limitless MCP Server

MCP Server

Advanced conversation analytics for Limitless Pendant recordings

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Updated Sep 13, 2025

About

Provides intelligent meeting detection, action item extraction, natural language time queries and comprehensive analytics on Limitless Pendant conversations with full pagination support.

Capabilities

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

Limitless MCP Server in Action

Limitless MCP Server – Enhanced is a specialized Model Context Protocol (MCP) backend that transforms raw recordings from the Limitless Pendant into richly annotated, AI‑ready data. Its core mission is to surface hidden insights—such as meetings, action items, and speaker dynamics—from conversational audio without requiring developers to build custom parsers or token‑management logic. By exposing a suite of purpose‑built tools, the server lets AI assistants like Claude retrieve structured summaries, full transcripts, and analytical metrics in a single API call, dramatically simplifying the integration of conversational intelligence into applications.

At the heart of the server lies intelligent meeting detection and action‑item extraction, which parse conversation flows to flag formal meetings and identify tasks or commitments. These capabilities enable developers to build workflows that automatically generate follow‑up emails, calendar invites, or task board entries based on conversational context. Coupled with natural language time queries (e.g., “yesterday” or “last week”), the server lets users request data using human‑friendly expressions, abstracting away date formatting and timezone complications.

The server’s advanced search feature indexes every conversation, providing relevance‑scored results that surface the most pertinent logs. Developers can filter by starred lifelogs, participant names, or specific keywords, making it straightforward to build search‑driven interfaces or analytics dashboards. Daily summaries and speaker analytics further enrich the data set, offering high‑level overviews of participant engagement and topic distribution that can be visualized or fed into downstream models.

One of the standout advantages is smart pagination. All list tools now support cursor‑based paging, ensuring that large datasets never exceed Claude’s token limits. The server automatically chunks responses and truncates arrays before estimation, providing consistent 10‑item API limits across tools. For use cases that demand the entire transcript—such as legal compliance reviews or deep learning fine‑tuning—the tool fetches complete data with automatic pagination, eliminating manual handling.

In practice, Limitless MCP Server empowers developers to build AI‑augmented meeting assistants, task management systems, and conversational analytics platforms with minimal overhead. By offloading complex parsing, token‑management, and pagination to a dedicated MCP service, teams can focus on delivering value‑added features while ensuring robust, scalable integration with Claude and other AI assistants.