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    An MCP server that enables AI agents to query Apple Health data (190+ metrics) in natural language, including trends, comparisons, and structured exports.
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    MIT
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    Enables AI-powered analysis of Rapid7 vulnerability and asset data by exporting via the Bulk Export API and making it queryable through natural language or SQL in MCP-compatible tools.
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    MIT
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    Reads your local WhatsApp chat history and exposes tools to retrieve messages and chat lists, enabling querying and summarization of your conversations entirely offline.
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    MIT
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    A Model Context Protocol server that exposes Microsoft Edge browsing history across multiple profiles, allowing listing profiles and fetching history for a given day.
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    MIT
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    Enables Claude to automatically extract entities and relationships from URLs, PDFs, and YouTube videos to build structured knowledge graphs in Neo4j. It supports custom schemas, academic citation extraction, and community detection for advanced research and content analysis.
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    Apache 2.0
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    A secure database query service built on FastMCP framework that allows users to query MySQL databases using natural language, with comprehensive permission management and security controls.
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    A blazing fast MCP server that enables AI agents to interact with multiple PostgreSQL databases, providing functionality to list tables, inspect schemas, execute queries, and run transactions.
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    MIT
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    Transforms SAP S/4HANA or ECC systems into conversational AI interfaces by exposing all OData services as dynamic MCP tools. Enables natural language interactions with ERP data including querying, creating, updating, and deleting entities through SAP BTP integration.
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    MIT
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    Transforms SAP S/4HANA or ECC systems into conversational AI interfaces by exposing all OData services as dynamic MCP tools. Enables natural language interactions with ERP data for querying, creating, updating, and deleting business entities through SAP BTP integration.
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    MIT
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    Provides Claude with SQL access to Hevy workout history and personal training conventions stored in a SQLite database. It enables detailed analysis of exercise progress, volume trends, and muscle group mappings through natural language queries.
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    An AI-driven data visualization and SQL chat platform that enables natural language to SQL conversion, interactive chart generation, and database querying through a comprehensive MCP interface. Supports multiple databases, intelligent chart recommendations, and secure data management with temporary link sharing.
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    ISC
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    Exposes any SQLite database as read-only MCP tools for AI assistants, enabling listing tables, describing schemas, and running SELECT queries with filtering, ordering, and pagination.
    Last updated