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DimensionMongoDB MCP ServerOfficial MCP server for MongoDB databases and Atlas clustersMCP Toolbox for DatabasesGoogle's official database MCP toolbox — define AI-accessible database tools via config
FMRS70 / 100 · B74 / 100 · B
Reliability10 / 2013 / 20
Security and permissions16 / 2013 / 20
Maintenance14 / 2017 / 20
Documentation16 / 2016 / 20
Setup experience14 / 2015 / 20
Best for
  • Developers and data analysts who want to interact with MongoDB via natural language
  • Scenarios needing MongoDB integration into LLM workflows
  • Teams using MongoDB Atlas looking to automate cluster management
  • Teams that want precise control over which database operations an AI can perform, rather than open arbitrary SQL execution
  • Scenarios needing a unified MCP setup across multiple database engines
Not for
  • Users who need generic MCP services without database interaction
  • Users needing full write access without configuring safety measures (default is read-only)
  • Users requiring local storage or non-standard transports (only stdio and HTTP supported)
  • Lightweight cases that just want to run a few ad-hoc SQL queries without maintaining a tools.yaml config (a simpler single-database MCP may be a better fit)
Required permissions
  • Network access: connect to MongoDB instance or Atlas API
  • File system access (optional): export data files, log files
  • Atlas API credentials (required for Atlas tools)
  • Database credentials (username/password/connection string) are supplied via env vars or config
  • A tool's actual permission is whatever SQL statement is defined in tools.yaml — designed for least privilege, but misconfiguration can still over-expose access
Risks and side effects
  • If read-only mode is not enabled, tools can modify or delete database data
  • Exposed Atlas API credentials could lead to unauthorized cluster management
  • HTTP transport without authentication may be exposed to unauthorized clients
  • Server-side JavaScript operators may be executed, but disabled by default
  • If tools.yaml defines SQL statements that allow unconstrained writes or deletes, the AI could accidentally modify data
  • The prebuilt toolsets (--prebuilt) favor convenience and may expose broader query capability than a specific business actually needs — use a custom tools.yaml in production
Supported clientsClaude Desktop, VS Code, Cursor, Windsurf, GitHub Copilot CLI, OpenCodeClaude Code, Gemini CLI, Zed, Antigravity
Tools520