"MongoDB" matching MCP servers:

Enables Claude to explore, query, and modify MongoDB databases through natural language, including CRUD operations, aggregation, indexing, and administrative tasks.

A MongoDB MCP Server that allows AI agents and MCP clients to interact with MongoDB databases through standardized tools for CRUD operations, schema discovery, and collection management.

MCP server that exposes MongoDB business data via tools for summary statistics, new users, and pending payments.

A read-only MCP server for querying MongoDB databases, enabling listing databases, collections, indexes, and running aggregation pipelines.

A Model Context Protocol server for interacting with MongoDB Databases and MongoDB Atlas. It enables AI assistants to query, manage, and operate on MongoDB data and Atlas resources through natural language.

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.

A Model Context Protocol server that provides access to the MongoDB Atlas API, enabling management of clusters, users, projects, backups, and more through MCP tools.

Enables interaction with MongoDB databases through CRUD operations, aggregation, and schema discovery, with automatic field validation and ObjectId conversion.

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

Zero-config MCP server that empowers AI agents to safely query SQL and NoSQL databases like PostgreSQL, MySQL, SQLite, MongoDB, and Redis.

Enables AI coding agents to execute SQL and MongoDB queries through Increff Webget via natural language, eliminating manual UI interaction and result scraping.

Enables AI coding agents to instantly provision ephemeral developer infrastructure like Postgres, Redis, MongoDB, and container deployments over HTTPS, with no Docker or signup required for the free anonymous tier.

Deploy, run and manage apps on your own self-hosted AppCrane from any MCP client. 62 tools: create an app, push code, deploy to sandbox, check health and logs, provision a managed Postgres, MariaDB, MongoDB or Redis, and promote to production after review. Your instance, your SSO, your data. Repo: https://github.com/gitayg/appcrane-mcp · npm: appcrane-mcp · Site: https://appcrane.dev

MCP server for Hydra ETL: lets AI assistants write declarative YAML ETL pipelines (CSV, Parquet, PostgreSQL, MySQL, MongoDB, APIs) and validate them before any data is read or written.

MCP server for AWS infrastructure analysis. Connects to DynamoDB, Lambda, SQS, SNS, Secrets Manager, EventBridge, RDS, PostgreSQL, MongoDB, and CloudWatch — surfaces missing indexes, queue DLQs, Lambda config issues, IaC drift, and security findings for Claude Code and Cursor.

A multi-database MCP server supporting MySQL, PostgreSQL, MongoDB, and SQLite with read-only and read-write query capabilities, schema inspection, and SSH tunneling, all without Docker.

ArcadeDB Multi-Model Database, one DBMS that supports SQL, Cypher, Gremlin, HTTP/JSON, MongoDB and Redis. ArcadeDB is a conceptual fork of OrientDB, the first Multi-Model DBMS. ArcadeDB supports Vector Embeddings.

A Middleware/Control Plane server that allows AI code agents to securely execute queries against various databases (PostgreSQL, MySQL, MongoDB, Oracle) without directly exposing credentials.

A multi-database MCP server with OAuth 2.0 authentication and granular access control, enabling secure connections to multiple database types (SQLite, MySQL, PostgreSQL, MongoDB, Redis) with configurable read/write permissions and tool filtering.

MCP server for deploying projects to multiple cloud platforms (Vercel, Railway, Neon, MongoDB Atlas, Docker) and running local dev servers, with orchestration for full-stack deployments.