MCP Docsrs
M

MCP Docsrs

This project uses an optimized GitHub Actions workflow, designed for open-source projects, minimizing resource usage while maintaining quality. It includes functions such as rapid PR checks, a complete CI/CD pipeline, security scans, and automated releases.
2.5 points
4.8K

What is the MCP Server?

The MCP server is a lightweight protocol implementation based on model context management, allowing users to interact with various large language models through a standardized interface. It provides a unified way to handle model requests, manage context, and optimize inference performance.

How to Use the MCP Server?

Using the MCP server usually requires configuring a client tool that supports the protocol and sending requests through simple API calls or command-line methods. The MCP server will automatically handle model loading, context management, and result return.

Applicable Scenarios

The MCP server is suitable for scenarios that require rapid deployment and management of multiple large language models, such as enterprise internal AI assistants, multi-model service integration, and applications that need flexible control of model context.

Main Features

Multi-model Support
Supports multiple mainstream large language models (such as GPT, LLaMA, etc.), and can easily switch between different models for testing or deployment.
Context Management
Provides powerful context management functions, which can save and restore conversation history, improving the consistency and accuracy of model responses.
Lightweight Architecture
Adopts a modular design with low resource consumption, suitable for rapid deployment in local or cloud environments.
Open Protocol
Based on the open-standard MCP protocol, it is convenient for integration with third-party tools and platforms, enhancing ecological compatibility.
Advantages
Supports multiple large language models with high flexibility
Lightweight design, easy to deploy and maintain
Provides efficient context management functions
Open protocol facilitates expansion and integration
Limitations
Limited performance optimization for complex models
Requires a certain technical foundation for configuration and use
Relatively few community resources at present

How to Use

Install the MCP Server
Obtain the MCP server code from the official repository and install it according to the instructions. Make sure the necessary dependency environment (such as Node.js) is installed.
Start the Server
Run the MCP server and specify the model and parameters to be used according to the configuration file.
Send a Request
Use the MCP client tool or directly call the API to send a request to the server and get the model's response.

Usage Examples

Intelligent Customer Service System
Integrate the MCP server into the enterprise customer service system to provide users with robot services for natural language interaction.
Multi-model Comparison Test
Use the MCP server to run multiple models simultaneously and compare their performance differences on the same problem.

Frequently Asked Questions

Does the MCP server support custom models?
Can the MCP server run without an Internet connection?
How to update the MCP server?
What is the performance of the MCP server?

Related Resources

MCP Server Documentation
Official documentation, including detailed configuration instructions and API references.
GitHub Repository
Project source code and development information, where you can contribute or view issue tracking.
MCP Protocol Specification
The standard definition of the MCP protocol, a key resource for understanding its working principle.
Video Tutorials
Teaching videos about the installation, configuration, and use of the MCP server.

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
10.4K
5 points
M
MCP
The Microsoft official MCP server provides search and access functions for the latest Microsoft technical documentation for AI assistants
11.1K
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
6.0K
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
6.9K
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
9.2K
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
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
25.0K
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
48.9K
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
16.3K
4.5 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#
21.3K
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
47.8K
4.5 points
G
Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
15.6K
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
31.8K
4.8 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2025AIBase