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Dynamic Shell Server
A Shell command execution MCP server that supports dynamic approval, providing a secure and controllable command execution environment
Python
3.7K
2 points
Garc33 Js Sandbox MCP Server
An MCP server that provides a secure JavaScript execution environment, supporting isolated code execution and resource limitations
TypeScript
3.5K
2 points
Permshell
An MCP service for executing Shell commands with permission confirmation via notifications
TypeScript
3.7K
2.5 points
L
Linuxshell MCP
An MCP server based on Linux Bash, which supports executing Bash commands and scripts in the Windows WSL2 environment. It has intelligent Linux distribution detection, secure configuration merging, and comprehensive diagnostic functions.
JavaScript
0
2 points
Terminal MCP Server
This project is a Model Context Protocol (MCP) server implementation for terminal commands, allowing terminal commands to be executed in a specified directory through Claude configuration.
TypeScript
3.8K
2.5 points
Lilith Shell
Lilith Shell is an enhanced MCP server that allows AI assistants to execute terminal commands in a controlled environment, with security validation and output capture functions.
Python
3.8K
2 points
Windows Command Line MCP Server
A secure Windows command - line MCP server that provides secure system interaction capabilities for AI models
TypeScript
3.7K
2.5 points
Windows Command Line MCP Server
The Windows Command Line MCP Server is a secure intermediary service that allows AI models to interact with the Windows system under strict security control, including functions such as executing commands, creating projects, and obtaining system information.
TypeScript
3.7K
2.5 points
Alxspiker Windows Command Line MCP Server
The Windows Command Line MCP Server is a secure intermediary service that allows AI models to interact with the Windows system through strictly controlled permissions, providing functions such as command-line operations, project creation, and system information query.
TypeScript
3.7K
2 points
MCP Claude Code
This project implements functions similar to Claude Code through the MCP protocol, providing tools for code understanding, modification, and command execution. It supports multiple models and Jupyter notebook operations, and has security control and development expansion capabilities.
Python
4.1K
3 points
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Notion Api MCP
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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.
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The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
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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.
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Gitlab MCP Server
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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.
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Unity
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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.
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610
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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.
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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.
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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.
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