MCP Protocol Server
A model context protocol server based on FastAPI, providing model context management, session handling, and real-time communication functions.
rating : 2 points
downloads : 4.6K
What is the Model Context Protocol Server?
The Model Context Protocol (MCP) server is a dedicated service for managing AI model contexts and sessions. It helps developers efficiently maintain model states, handle user sessions, and support real-time communication.How to use the MCP server?
Interact with the server through simple REST APIs or WebSocket connections to manage model contexts and user sessions. It supports rapid deployment and scaling.Applicable scenarios
Suitable for AI applications that need to maintain long-term conversation states, multi-round dialogue systems, AI services that require real-time updates, etc.Main features
Model context management
Provides full lifecycle management for creating, updating, querying, and deleting model contexts
Session handling
Supports the creation, maintenance, and persistent storage of user sessions
Real-time WebSocket support
Enables real-time communication and status updates through WebSocket connections
Authentication and authorization
Built-in security mechanisms to protect API and WebSocket endpoints
Interactive documentation
Built-in Swagger and ReDoc documentation for easy API exploration and testing
Advantages
Built on the high-performance FastAPI framework
Supports both REST and WebSocket communication methods
Complete session management and context maintenance functions
Easy to deploy and scale
Provides detailed interactive API documentation
Limitations
Requires Python environment support
Additional configuration is required for large-scale deployment
Real-time communication functions require WebSocket client support
How to use
Install dependencies
Ensure that Python 3.7+ and pip are installed on the system
Configure the environment
Copy the .env.example file and configure your settings
Start the server
Run the server using uvicorn
Access the API documentation
Open the interactive API documentation in the browser
Usage examples
Create a new session
Initialize a new session for interacting with an AI model
Update the model context
Add new context information to an existing session
Frequently Asked Questions
How to scale the server to support more concurrent users?
What authentication methods are supported?
How is session data persisted?
Related resources
FastAPI official documentation
Learn about the features and characteristics of the underlying framework
GitHub repository
Get the source code and the latest updates
Swagger UI
Interactive API documentation (available after running the service)

Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
16.6K
4.3 points

Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
14.8K
4.5 points

Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
23.6K
5 points

Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
45.0K
4.3 points

Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
19.2K
5 points

Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
44.5K
4.5 points

Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
30.3K
4.8 points

Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
62.9K
4.7 points

