Limitless MCP Server
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Alternatives to Limitless MCP Server
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Related Servers
- AlicenseNot gradedqualityDmaintenanceEnables AI assistants to interact with Limitless AI Pendant recordings, search, retrieve, and analyze lifelogs via the Model Context Protocol.12 npm14MIT
- AlicenseNot gradedqualityDmaintenanceEnables querying Gong calls and transcripts through natural language, allowing users to list calls with date filtering and retrieve detailed transcripts with participant context.MIT
- AlicenseNot gradedqualityBmaintenanceConnects AI assistants to your Limitless AI lifelog data, enabling them to search, retrieve, and analyze your recorded conversations and daily activities from your Limitless pendant.20 npm1MIT

SayAll MCPofficial
AlicenseNot gradedqualityBmaintenanceProvides read-only access to local voice-to-text transcription history from the SayAll wireless mic app on macOS. Enables MCP-compatible assistants to query and paginate past transcripts by time and app with strong privacy boundaries.MIT- FlicenseAqualityDmaintenanceEnables AI-powered analysis of sales call transcripts through natural language queries, allowing users to search conversations, identify objections, and extract insights from customer calls without manually reviewing recordings.3-
- AlicenseNot gradedqualityBmaintenanceEnables analyzing call transcripts, scoring dimensions against declarative rubrics, and listing rubrics, for evidence-backed conversation evaluation.MIT
TDQS
Scored across 14 tools
Most tools have distinct purposes, such as analyze_speaker for person-specific analytics, detect_meetings for meeting extraction, and get_by_natural_time for time-based queries. However, there is some overlap between get_full_transcript and get_raw_transcript, as both handle transcript data, which could cause confusion about when to use each.
All tool names follow a consistent verb_noun pattern with the 'limitless_' prefix, such as limitless_analyze_speaker, limitless_detect_meetings, and limitless_get_daily_summary. This uniformity makes the set predictable and easy to navigate.
With 14 tools, the count is well-scoped for a lifelog analysis server, covering key operations like retrieval, analysis, search, and summarization. Each tool serves a clear purpose without feeling excessive or insufficient.
The tool set provides comprehensive coverage for lifelog management, including CRUD-like operations (e.g., get_by_id, list_by_date), analysis (e.g., detailed_analysis, daily_summary), search (e.g., search_conversations_about), and specialized functions (e.g., extract_action_items). No obvious gaps are present for the domain.