"mongodb" matching MCP servers:

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.

Enables AI assistants to interact natively with MongoDB databases, including schema discovery, CRUD operations, aggregation pipelines, and index management via natural language.

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.

This read-only MCP Server allows you to connect to MongoDB data from Claude Desktop through CData JDBC Drivers. For full CRUD support, check out the first managed MCP platform: CData Connect AI (https://www.cdata.com/ai/).

A read-only MongoDB MCP server designed for serverless deployment on Vercel, providing secure, limited access to MongoDB databases for AI assistants.

Enables AI assistants to interact with MongoDB 3.6+ databases, supporting collection listing, document queries, counting, and aggregations through natural language.

Enables natural language querying of MongoDB data by transforming AI agent questions into MongoDB aggregations. Supports secure data separation, semantic vector search, and advanced lookup capabilities for database interactions.

A MongoDB multi-instance query service built on MCP that provides intelligent database structure discovery, semantic analysis, and natural language query generation for MongoDB databases.

Enables AI assistants to connect to and interact with PostgreSQL, MySQL, SQLite, and MongoDB databases through natural language, supporting schema exploration, query execution, data export, and more.

Enables AI assistants to search and retrieve CodeChef VIT university question papers from MongoDB, offering tools for paper search, metadata retrieval, and recent paper feeds.

A universal MCP server enabling AI assistants to query and manage six database engines (Postgres, Redis, Elasticsearch, MySQL, MongoDB, LDAP) through 113+ tools with read-only safety and fault tolerance.

A vector search system that enables semantic retrieval of document chunks using MongoDB Atlas Vector Search and Voyage AI embeddings, allowing users to search documents by meaning rather than just keywords.

Provides access to Alpha Vantage stock price data (OHLCV) and financial news with sentiment analysis through MongoDB storage, automatically fetching missing data from the API when needed.

MCP server that enables natural-language SQL queries across multiple databases (ClickHouse, Teradata, PostgreSQL, MySQL, SQL Server, DB2, Oracle, MongoDB) with dialect-correct SQL generation, PII masking, and security-by-construction controls.

A smart MCP gateway that routes AI agents to the right tools using hybrid search (vector + full-text) on MongoDB Atlas, collapsing the retrieval infrastructure into a single query.

Enables natural language queries against a MongoDB movie database to search films by title, genre, actor, year, or rating, and retrieve detailed movie information from the sample_mflix collection.

Provides comprehensive food hierarchy and nutrition data through structured tools that enable searching foods, browsing categories, and retrieving detailed nutritional information from a MongoDB Atlas database.

Enables read-only access to company data across PostgreSQL, MongoDB Atlas, and flat files through MCP tools, allowing AI assistants to query and retrieve information via natural language.

Provides an AI-queryable directory of Black-owned businesses in South Florida, allowing users to search by category, neighborhood, and specialty. It enables seamless discovery of localized businesses and services through natural language tools and real-time MongoDB integration.

Enables natural-language querying of Postgres and MongoDB databases in read-only mode, with PII masking and row/timeout guardrails, from any MCP client.