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    Data compression MCP server with auto-algorithm selection (gzip, brotli, deflate). 7 tools for compress, decompress, analyze, store, retrieve, list, and stats. Achieves 60x compression on docs, 30x on SQL. Lossless round-trip verified. Zero dependencies.
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    MIT
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    An MCP server that provides comprehensive market intelligence by analyzing data from both the Apple App Store and Google Play Store, enabling users to research apps, track market trends, study competitors, and understand user feedback across mobile marketplaces.
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    MIT
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    An MCP server that exposes VeloDB analytics data to AI clients through a governed semantic metrics layer (MetricFlow) and raw SQL fallback, with multi-workspace isolation, staging workflows, and a web UI for managing models.
    Apache 2.0
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    Exposes over 19,000 Apify Actors as MCP tools for web scraping, data extraction, and OSINT automation. It enables AI agents to dynamically discover and execute scrapers to collect structured data and crawl web content.
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    Queries Tako to retrieve real-time data and generate visualizations from search queries, uploaded files, or datasets, returning embeddable charts with metadata.
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    MIT
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    Exposes local DuckDB pizza sales data as MCP tools for querying store-level and total sales metrics via natural language, enabling local LLMs to perform real-time analytical queries.
    MIT
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    Enables LLMs to interact with any ERPNext instance through comprehensive CRUD operations, advanced permissions, and a web chat interface.
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    Enables interaction with Tecton clusters through MCP, allowing management of feature stores, execution of Tecton CLI commands, and retrieval of feature store configurations via natural language.
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    Answers "sales dropped since last week — where?" by comparing a target period against a weekday-adjusted baseline and localizing which attribute combinations (e.g. channel=web, or Tuesday nights) explain the shift. Runs fully offline on your own CSV — no API key, no ML training, read-only.
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    MIT
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    The artifact store for AI agents. Every output your agents produce — persisted, retrievable, shareable. Across runs, sessions, and tools. Session/agent metadata, content-hash dedup, and expiring share links; available on npm (@artifacta-mcp/mcp) and PyPI (artifacta-mcp).
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    An MCP server that provides access to Cronometer nutrition data, enabling users to pull food logs, macro and micronutrient summaries, and biometric data into Claude or Cursor. It supports daily nutrition tracking and raw CSV exports by interfacing with the Cronometer web protocol.
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    Connects AI assistants to a self-hosted Your Spotify instance and Spotify's Web API for deep listening analytics and playback control. It enables users to query unlimited listening history, generate custom Wrapped summaries, and manage playlists through natural language.
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    Apache 2.0
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    Enables users to analyze local Excel and CSV files through natural language queries and a web dashboard while keeping data local. It supports saving specific analyses as reusable tools and building a custom analytics toolkit within Claude Desktop.
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    MIT
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    Enables comprehensive interaction with DHIS2 health information systems through 40+ tools covering complete Web API functionality. Supports data management, tracker programs, analytics, and bulk operations for DHIS2 development and administration.
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    MIT