MCP Protocol Server
M

MCP Protocol Server

A model context protocol server based on FastAPI, providing model context management, session handling, and real-time communication functions.
2 points
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)

Installation

Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

K
Klavis
Klavis AI is an open-source project that provides a simple and easy-to-use MCP (Model Context Protocol) service on Slack, Discord, and Web platforms. It includes various functions such as report generation, YouTube tools, and document conversion, supporting non-technical users and developers to use AI workflows.
TypeScript
8.2K
5 points
M
MCP
The Microsoft official MCP server provides search and access functions for the latest Microsoft technical documentation for AI assistants
10.0K
5 points
A
Aderyn
Aderyn is an open - source Solidity smart contract static analysis tool written in Rust, which helps developers and security researchers discover vulnerabilities in Solidity code. It supports Foundry and Hardhat projects, can generate reports in multiple formats, and provides a VSCode extension.
Rust
5.9K
5 points
D
Devtools Debugger MCP
The Node.js Debugger MCP server provides complete debugging capabilities based on the Chrome DevTools protocol, including breakpoint setting, stepping execution, variable inspection, and expression evaluation.
TypeScript
5.4K
4 points
S
Scrapling
Scrapling is an adaptive web scraping library that can automatically learn website changes and re - locate elements. It supports multiple scraping methods and AI integration, providing high - performance parsing and a developer - friendly experience.
Python
7.9K
5 points
M
Mcpjungle
MCPJungle is a self-hosted MCP gateway used to centrally manage and proxy multiple MCP servers, providing a unified tool access interface for AI agents.
Go
0
4.5 points
C
Cipher
Cipher is an open-source memory layer framework designed for programming AI agents. It integrates with various IDEs and AI coding assistants through the MCP protocol, providing core functions such as automatic memory generation, team memory sharing, and dual-system memory management.
TypeScript
0
5 points
N
Nexus
Nexus is an AI tool aggregation gateway that supports connecting multiple MCP servers and LLM providers, providing tool search, execution, and model routing functions through a unified endpoint, and supporting security authentication and rate limiting.
Rust
0
4 points
G
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
N
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
M
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
D
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
U
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
F
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
M
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
C
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
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2025AIBase