What runtime or dependencies are required?
Python with `uvx` or Node.js with `npx`; no additional manual installation of drivers is needed.
@syedasad-kiwi
基本信息
A powerful Model Context Protocol (MCP) server implementation for MongoDB integration
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"mongodb-mcp-bridge": {
"command": "uvx",
"args": [
"mongodb-mcp-bridge"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。
A Model Context Protocol (MCP) server implementation for MongoDB integration, providing standardized interaction with MongoDB databases. It supports operations on databases, collections, and documents with async/await patterns and error handling, and is built for use with AI assistants and MCP-compatible IDEs.
Run with uvx mongodb-mcp-bridge (Python) or npx mongodb-mcp-bridge (Node.js); add --transport=sse for remote connections. Set the required MONGODB_URI environment variable and optionally MONGODB_DB and MCP_PORT. Docker support is available via docker build and docker run. Configure in VS Code, Cursor, or Windsurf using the provided JSON snippets.
ping toolPython with `uvx` or Node.js with `npx`; no additional manual installation of drivers is needed.
Authentication is handled via the `MONGODB_URI` environment variable, which contains the MongoDB connection string including credentials.
By default it uses standard MCP transport; the `--transport=sse` flag enables SSE (Server-Sent Events) transport for remote connections.
All data remains in the connected MongoDB database. The server only executes queries and returns results; it does not store data locally.
The server provides `ping`, `list_databases`, and `find_documents` tools for connectivity testing, database enumeration, and filtered document queries.

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