MCP Probe Kit
M

MCP Probe Kit

The MCP Probe Kit is a powerful development toolset that provides 23 practical tools, covering the entire process of code quality detection, development efficiency improvement, and project management. It is specifically designed for Cursor AI to help developers improve development efficiency and quality.
2.5 points
5.0K

What is the MCP Probe Kit?

The MCP Probe Kit is a toolset designed specifically for AI-assisted development. It provides powerful development capabilities support for AI assistants through the Model Context Protocol (MCP). It includes 23 well-designed tools to help developers improve efficiency in various aspects such as code review, debugging, documentation generation, and project management.

How to use the MCP Probe Kit?

Simply configure the server address in AI development tools that support MCP, such as Cursor, and you can directly use various tool commands in the conversation. The tools adopt the 'instruction generator' mode, and the AI will understand your requirements based on the generated instructions and perform corresponding operations.

Applicable scenarios

Suitable for various software development scenarios: daily code development and review, debugging and problem troubleshooting, new project initialization, code refactoring and optimization, documentation generation and maintenance, team collaboration, and version release, etc.

Main features

Code quality tools
Seven tools cover code review, debugging, test generation, performance analysis, etc., to ensure code quality and stability.
Development efficiency tools
Eleven tools provide functions such as documentation generation, UI component generation, and code conversion, significantly improving development efficiency.
Project management tools
Five tools support project management tasks such as project initialization, dependency checking, and conflict resolution.
Automatic code fixing
Automatically fix common code problems such as Lint errors, TypeScript type errors, and formatting issues.
UI component generator
Supports React and Vue 3 frameworks and generates complete TypeScript component code.
Intelligent project analysis
Deeply analyze the project structure and technology stack to help quickly understand old projects.
Advantages
Out-of-the-box: No complex configuration required, run directly with npx.
Comprehensive coverage: 23 tools meet the needs of the entire development process.
Intelligent adaptation: The AI intelligently adjusts the tool output based on the context.
Continuous update: Regularly add practical tools and functions.
Cross-platform support: Compatible with Windows, macOS, and Linux.
Limitations
Dependent on the AI environment: Need to use in AI tools that support MCP, such as Cursor.
Learning curve: Need to be familiar with the usage and parameters of each tool.
Network dependency: The npx method requires an Internet connection to download packages.
Configuration requirements: Need to correctly configure the MCP server connection.

How to use

Select the installation method
It is recommended to use npx to run directly without installation; you can also install globally for better performance.
Configure the MCP server
Add the server configuration to the MCP settings file in Cursor.
Restart the application
Completely exit Cursor and reopen it to ensure the configuration takes effect.
Start using
Directly use tool commands in the AI conversation, such as code_review, debug, etc.

Usage examples

Daily code development process
Complete code development, testing, and submission process.
Error debugging and fixing
Quickly locate and solve errors in the code.
New project initialization
Quickly create a standardized new project structure.
Old project analysis
Quickly understand complex legacy projects.
UI component development
Quickly generate React or Vue components.

Frequently Asked Questions

What should I do if the tool cannot be used or reports an error?
Why can't Cursor recognize the tool after configuration?
Why is the npx method slow every time?
What if the content generated by the tool does not meet expectations?
How to update to the latest version?
Which development frameworks and languages are supported?

Related resources

GitHub project homepage
Project source code, Issue submission, and latest updates.
Model Context Protocol official website
Official documentation and specifications of the MCP protocol.
Cursor official website
Official website of the AI code editor.
Author's website
Personal website of developer Xiaomo.
GitHub Spec-Kit
Standard specification toolkit for project initialization reference.

Installation

Copy the following command to your Client for configuration
{
  "mcpServers": {
    "mcp-probe-kit": {
      "command": "npx",
      "args": ["mcp-probe-kit@latest"],
      "env": {}
    }
  }
}

{
  "mcpServers": {
    "mcp-probe-kit": {
      "command": "mcp-probe-kit"
    }
  }
}

{
  "mcpServers": {
    "mcp-probe-kit": {
      "command": "node",
      "args": ["./node_modules/mcp-probe-kit/build/index.js"]
    }
  }
}

{
  "mcpServers": {
    "mcp-probe-kit": {
      "command": "node",
      "args": ["D:/workspace/github/mcp-probe-kit/build/index.js"]
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

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
7.5K
4.5 points
G
Gk Cli
GitKraken CLI is a command - line tool that provides multi - repository workflow management, AI - generated commit messages and pull requests, and includes a local MCP server for integrating tools such as Git, GitHub, and Jira.
4.4K
4.5 points
M
MCP
A collection of official Microsoft MCP servers, providing AI assistant integration tools for various services such as Azure, GitHub, Microsoft 365, and Fabric. It supports local and remote deployment, helping developers connect AI models with various data sources and tools through a standardized protocol.
C#
7.3K
5 points
C
Claude Context
Claude Context is an MCP plugin that provides in - depth context of the entire codebase for AI programming assistants through semantic code search. It supports multiple embedding models and vector databases to achieve efficient code retrieval.
TypeScript
11.2K
5 points
A
Acemcp
Acemcp is an MCP server for codebase indexing and semantic search, supporting automatic incremental indexing, multi-encoding file processing, .gitignore integration, and a Web management interface, helping developers quickly search for and understand code context.
Python
12.2K
5 points
B
Blueprint MCP
Blueprint MCP is a chart generation tool based on the Arcade ecosystem. It uses technologies such as Nano Banana Pro to automatically generate visual charts such as architecture diagrams and flowcharts by analyzing codebases and system architectures, helping developers understand complex systems.
Python
8.2K
4 points
M
MCP Agent Mail
MCP Agent Mail is a mail - based coordination layer designed for AI programming agents, providing identity management, message sending and receiving, file reservation, and search functions, supporting asynchronous collaboration and conflict avoidance among multiple agents.
Python
10.7K
5 points
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
15.4K
5 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
18.4K
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
28.2K
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
19.9K
4.3 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
57.9K
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#
24.4K
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
54.1K
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
18.3K
4.5 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
80.4K
4.7 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2025AIBase