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725,742 tools. Updated 2026-10-30 18:35

"mongodb" matching MCP tools:

  • Retrieve recent MongoDB server logs for diagnostics. Filter by global events or startup warnings and limit entries to target specific issues.
    Apache 2.0
  • Fetches recent mongod log events with optional filtering by log type (global/startup warnings) and entry limit.
    Apache 2.0
  • Retrieve recent MongoDB database log events to monitor system activity, troubleshoot issues, or analyze startup warnings for operational insights.
    Apache 2.0
  • Connect to a MongoDB Atlas cluster and receive a connectionId for use with other MongoDB tools. Each call creates a new independent connection, allowing multiple concurrent sessions.
    Apache 2.0
  • Search MongoDB official documentation and expert guidance. Filter results by data source and MongoDB version to find specific answers.
    Apache 2.0

Matching MCP Servers

  • A
    license
    B
    quality
    B
    maintenance
    A Model Context Protocol server that provides access to MongoDB databases. This server enables LLMs to inspect collection schemas and execute read-only queries.
    8
    108 npm
    283
    MIT
  • A
    license
    Not graded
    quality
    D
    maintenance
    A Model Context Protocol (MCP) server that enables LLMs to interact directly with MongoDB databases. Query collections, inspect schemas, and manage data seamlessly through natural language.
    27 npm
    176
    MIT

Matching MCP Connectors

  • Search MongoDB Assistant's knowledge base for official documentation and expert guidance. Filter results by data source and version to find relevant answers for your MongoDB use case.
    Apache 2.0
  • Establish a connection to a MongoDB cluster using a connection string. Use this tool to initiate or switch database connections for performing operations through the MongoDB MCP Server.
    Apache 2.0
  • Fetch MongoDB server details including version, storage engine, and configuration. Optionally include debug information for deeper analysis.
    MIT
  • Jalankan aggregation pipeline MongoDB untuk analisis data (grouping, join via $lookup, dsb).
    MIT
  • Query MongoDB collections with filters, projections, and limit options. Optionally analyze execution plan statistics for query optimization.
    MIT
  • Run an aggregation pipeline on a MongoDB collection, with optional execution plan analysis for query performance insights.
    MIT
  • Insert one or more documents into a MongoDB collection, with support for ordered inserts, write concern, and bypassing schema validation.
    MIT
  • Create one or more indexes on a MongoDB collection to optimize queries, enforce uniqueness, or set TTL expiration.
    MIT
  • List all collections in the MongoDB database, with optional filtering and name-only mode.
    MIT
  • Insert documents into MongoDB collections through the MCP-MongoDB-MySQL-Server, enabling structured data storage with specified collection names and document arrays.
    MIT