MCP I Use
This project documentation records the commonly used Model Context Protocol (MCP) server and its functions, including terminal control, web search, GitHub interaction, and knowledge graph memory functions.
2 points
7.8K

What is Model Context Protocol (MCP)?

Model Context Protocol (MCP) is a protocol that allows AI assistants (such as Claude) to interact with external systems and data sources. Through the MCP server, users can perform complex tasks, obtain real - time information, and seamlessly collaborate with local devices and cloud services.

How to use MCP?

First, install the MCP server, and then configure the API key according to the specific service. Next, you can start running commands or queries and leverage the powerful capabilities of AI to handle daily tasks.

Applicable Scenarios

MCP is suitable for application scenarios that require efficient file management, web content search, GitHub repository operation, and knowledge graph maintenance.

Main Features

Desktop Commander
Provides terminal control, file system navigation, and file editing functions.
Tavily MCP
A web search engine based on the Tavily API, supporting deeply customized queries.
GitHub MCP
Allows direct interaction with GitHub repositories, including managing code, issues, and pull requests.
Memory MCP
Builds a knowledge graph to enhance memory and context - awareness capabilities.
Advantages
Improve productivity: Complete complex tasks quickly.
High flexibility: Support multiple application scenarios.
High security: Protect sensitive data through encryption.
Limitations
Steep learning curve: It may take some time to adapt for first - time users.
Dependent on network environment: Some functions require a stable Internet connection.

How to Use

Download and Install the MCP Server
According to the service you choose, install the corresponding MCP server following the official documentation.
Configure the API Key
Enter your API key or other necessary credentials.
Test the Connection
Run a simple command to ensure the service is working properly.

Usage Examples

Execute a Command on the Desktop Terminal
Execute a complex Linux command through Desktop Commander.
Get Code from a GitHub Repository
Clone an open - source project through GitHub MCP.
Build a Knowledge Graph
Add new entities and their relationships using Memory MCP.

Frequently Asked Questions

How to install the MCP server?
Does MCP support multiple platforms?
What if I forget my API key?

Related Resources

Desktop Commander MCP
Provides terminal control and file management functions.
Tavily MCP
A powerful web search engine.
GitHub MCP
A tool integrated with GitHub repositories.
Memory MCP
A server for building knowledge graphs.

Installation

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

Alternatives

R
Rsdoctor
Rsdoctor is a build analysis tool specifically designed for the Rspack ecosystem, fully compatible with webpack. It provides visual build analysis, multi - dimensional performance diagnosis, and intelligent optimization suggestions to help developers improve build efficiency and engineering quality.
TypeScript
9.4K
5 points
N
Next Devtools MCP
The Next.js development tools MCP server provides Next.js development tools and utilities for AI programming assistants such as Claude and Cursor, including runtime diagnostics, development automation, and document access functions.
TypeScript
10.1K
5 points
T
Testkube
Testkube is a test orchestration and execution framework for cloud-native applications, providing a unified platform to define, run, and analyze tests. It supports existing testing tools and Kubernetes infrastructure.
Go
5.6K
5 points
M
MCP Windbg
An MCP server that integrates AI models with WinDbg/CDB for analyzing Windows crash dump files and remote debugging, supporting natural language interaction to execute debugging commands.
Python
9.2K
5 points
R
Runno
Runno is a collection of JavaScript toolkits for securely running code in multiple programming languages in environments such as browsers and Node.js. It achieves sandboxed execution through WebAssembly and WASI, supports languages such as Python, Ruby, JavaScript, SQLite, C/C++, and provides integration methods such as web components and MCP servers.
TypeScript
9.6K
5 points
N
Netdata
Netdata is an open-source real-time infrastructure monitoring platform that provides second-level metric collection, visualization, machine learning-driven anomaly detection, and automated alerts. It can achieve full-stack monitoring without complex configuration.
Go
10.2K
5 points
M
MCP Server
The Mapbox MCP Server is a model context protocol server implemented in Node.js, providing AI applications with access to Mapbox geospatial APIs, including functions such as geocoding, point - of - interest search, route planning, isochrone analysis, and static map generation.
TypeScript
8.2K
4 points
U
Uniprof
Uniprof is a tool that simplifies CPU performance analysis. It supports multiple programming languages and runtimes, does not require code modification or additional dependencies, and can perform one-click performance profiling and hotspot analysis through Docker containers or the host mode.
TypeScript
8.4K
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
31.3K
5 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
22.9K
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
20.2K
4.5 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
65.4K
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#
28.3K
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
58.8K
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
19.8K
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
44.5K
4.8 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2026AIBase