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"How to extract and analyze data from a MongoDB database" matching MCP servers:

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    A minimal MCP server with get_weather and create_ticket tools, used for testing MCP servers across protocol, unit, eval, transport, and auth layers.
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    A Model Context Protocol server that enables AI assistants to interact with MongoDB Atlas resources through natural language, supporting database operations and Atlas management functions.
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    26
    82,829
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    Apache 2.0
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    MCP server for comprehensive MongoDB integration, enabling database operations, document management, schema analysis, and query tools.
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    MIT
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    Enables OCR text extraction from images via URLs or base64, with pay-per-call using x402 micropayments (USDC on Base L2).
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    MCP server adapter that exposes A-share stock data tools, prompts, and resources via FastMCP, enabling querying of stocks, K-lines, financials, sectors, and market hot spots through natural language.
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    A Model Context Protocol server that provides read-only access to MongoDB databases, enabling AI assistants to directly query and analyze MongoDB data while maintaining data safety.
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    MIT
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    A fully working MCP server built from scratch in plain Node.js, implementing tools, resources, prompts, notifications, and sampling according to the MCP specification, designed to connect to Claude Desktop or any MCP client.
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    22
    MIT
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    Feature-rich MCP server for MongoDB with multi-connection support, enabling users to interact with multiple MongoDB clusters simultaneously, perform CRUD operations, run aggregations, diagnostics, and more, all through natural language.
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    43
    MIT
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    Enables interaction with MongoDB databases through MCP, supporting database queries, resource reading, and multi-collection operations including aggregation pipelines and lookups.
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    Apache 2.0
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    A Model Context Protocol server that enables Claude to interact with MongoDB databases, supporting CRUD operations, aggregation, and database management.
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    82,829
    MIT
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    A Model Context Protocol (MCP) server for MongoDB operations, enabling AI assistants to interact with MongoDB databases through a standardized interface.
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    MIT
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    Enables AI assistants to interact natively with MongoDB databases, including schema discovery, CRUD operations, aggregation pipelines, and index management via natural language.
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    MIT
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    Enables querying and analyzing the MongoDB sample_mflix movie dataset through natural language, supporting searches by title, genre, actors, directors, ratings, and providing aggregate statistics like counts and averages.
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    MIT