"MongoDB" matching MCP servers:

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.

Enables interaction with MongoDB databases and MongoDB Atlas for querying data and managing clusters via the Model Context Protocol. It supports both local and cloud-based deployments using connection strings or Atlas API credentials.

Enables interaction with MongoDB databases and MongoDB Atlas through the Model Context Protocol, providing tools for database operations and Atlas management.

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.

Enables AI agents to interact with MongoDB databases and MongoDB Atlas, supporting read-only and write operations, Atlas cluster management, and data exploration.

An MCP server that enables users to create and manage MongoDB Atlas clusters, users, and network access through natural language commands.

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 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.

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.

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.

Enables MCP-capable agents to create and invoke OpenServerless endpoints, manage secrets, and configure integrations such as S3, PostgreSQL, Redis, Milvus, and MongoDB.

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