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MongoDB Model Context Protocol Server

@DavutcanJ

关于 MongoDB Model Context Protocol Server

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基本信息

分类

数据库

运行时

go

传输方式

stdio

发布者

DavutcanJ

配置

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代码仓库

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概览

What is MongoDB Model Context Protocol Server?

An MCP (Model Context Protocol) server that manages models, contexts, and protocols with MongoDB backend storage and Cursor IDE integration. It provides a gRPC API for creating, listing, updating, and deleting models, managing contexts that support multiple models, executing protocols, and storing/retrieving data. It is built with Go and intended for developers who want a structured model-context-protocol pipeline integrated with Cursor IDE.

How to use MongoDB Model Context Protocol Server?

Clone the repository, install dependencies with go mod download, start MongoDB 4.4+, then build and run the server using go build -o mcp-server cmd/server/main.go and ./mcp-server. Cursor IDE users can invoke features via the /mcp prefix with commands such as /mcp model, /mcp context, /mcp execute, /mcp status, and /mcp data.

Key features of MongoDB Model Context Protocol Server

  • Model CRUD (create, list, update, delete)
  • Context management with multiple model support
  • Protocol execution and status tracking
  • Data storage and retrieval
  • Cursor integration for code completion and analysis
  • gRPC API for all operations

Use cases of MongoDB Model Context Protocol Server

  • Manage AI models and track their lifecycle
  • Create contexts that link multiple models for complex workflows
  • Execute protocols and monitor execution status
  • Store and retrieve code snippets or data with metadata
  • Enhance Cursor IDE with model-driven code review and completion

FAQ from MongoDB Model Context Protocol Server

What are the requirements to run it?

Go 1.16+, MongoDB 4.4+, and optionally Cursor IDE for full integration features.

How does it integrate with Cursor IDE?

The server automatically detects Cursor when running. Use /mcp model, /mcp context, /mcp execute, /mcp status, and /mcp data commands via Cursor's command line.

What transport does the API use?

The API uses gRPC on port 50051. All examples are given with the grpcurl tool.

Where is data stored?

Data is stored in a MongoDB backend. The server requires an active MongoDB instance (4.4 or higher) to function.

Is authentication and encryption supported?

Yes. All API endpoints require authentication, gRPC communication is encrypted, and the MongoDB connection uses secure defaults.

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