MCP Server
by ningwenjie
The MCP (Multi-functional Computing Platform) server is a powerful backend service supporting file access, database connections, API integration, and vector database access. It is designed for integration with large language models like Qwen.
Last updated: N/A
What is MCP Server?
The MCP server is a multi-functional backend platform designed to provide services such as file management, database connectivity (MongoDB), API integration, and vector database operations. It is specifically tailored for integration with large language models like Tongyi Qianwen (Qwen).
How to use MCP Server?
To use the MCP server, clone the repository, build and run the Docker container using Docker Compose. Then, interact with the server's API endpoints to perform file operations, database queries, API calls, and vector database searches. Example clients are provided for interacting with the server, including a Qwen client.
Key features of MCP Server
File Access (upload, download, list, delete)
Database Connection (MongoDB integration)
API Integration (external API calls)
Vector Database (storage and similarity search)
Docker Deployment (one-click deployment)
Tongyi Qianwen (Qwen) Integration
Use cases of MCP Server
Integrating file storage and retrieval with LLMs
Connecting LLMs to databases for knowledge retrieval
Enabling LLMs to interact with external APIs
Using vector databases for semantic search with LLMs
Building LLM-powered applications with a unified backend
FAQ from MCP Server
What databases are supported?
What databases are supported?
Currently, only MongoDB is supported for database connections.
How do I deploy the server?
How do I deploy the server?
The server can be easily deployed using the provided Docker Compose configuration.
Is there an API documentation?
Is there an API documentation?
Yes, detailed API documentation is available in the docs/api_docs.md file.
How do I integrate with Tongyi Qianwen?
How do I integrate with Tongyi Qianwen?
The project provides a client library and examples for integrating with Tongyi Qianwen, located in the examples/ directory.
What are the key dependencies?
What are the key dependencies?
The key dependencies include Python 3.10+, FastAPI, Uvicorn, PyMongo, FAISS, and Docker.