@the-sukhsingh
基本信息
This project demonstrates the integration of MongoDB with the Model Context Protocol (MCP) to provide AI assistants with database interaction capabilities.
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"mcpmongo": {
"command": "node",
"args": [
"index.js"
]
}
}
}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。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
MCP MongoDB Integration connects MongoDB with the Model Context Protocol (MCP) to give AI assistants direct database interaction capabilities. It consists of an MCP server that exposes MongoDB operations as tools and a client-side terminal chatbot that uses Google’s Gemini AI to invoke those tools.
Set up the server by navigating to mcp-mongo-project, install dependencies, create a .env file with MONGODB_URI and MONGODB_NAME, then start with npm start. Set up the client by navigating to client-side, install dependencies, create a .env with GEMINI_API_KEY, and run node index.js. The client connects to the server via Server-Sent Events (SSE) and lets you chat with Gemini to perform MongoDB operations.
The server exposes 12 tools: findDocuments, findOneDocument, insertOneDocument, insertManyDocuments, updateOneDocument, updateManyDocuments, deleteOneDocument, deleteManyDocuments, aggregateDocuments, countDocuments, listCollections, and createCollection.
You need Node.js v14 or higher, a MongoDB instance (local or remote), and a Google Gemini API key.
The MCP server connects to MongoDB and exposes operations as tools. The client sends user queries to Gemini AI, which decides when to call a tool. The tool call is forwarded to the MCP server, executed, and the result is included in Gemini’s response.
For the server: `MONGODB_URI` (connection string) and `MONGODB_NAME` (database name). For the client: `GEMINI_API_KEY` (Google Gemini API key).
It is licensed under ISC.
Local database MCP server: your agent sees a migration's impact before it runs, for PostgreSQL, MySQL, SQL Server and SQLite, with no database credentials.
Connect Karma.Domains to ChatGPT, Claude, Cursor, VS Code, or another MCP client — and find a domain in plain language. The same auctions, expired, backorder, and buy-now data you use in the app, plus saved filters, note
The Xata MCP server lets AI assistants and agents interact with your Xata organizations, projects, and Postgres database branches.
A MCP (model context protocol) server that gives the LLM access to and knowledge about relational databases like SQLite, Postgresql, MySQL & MariaDB, Oracle, and MS-SQL.
评论