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[DEPRECATED - Use mcp-django instead] MCP server providing a stateful Django shell for LLM assistants.

MCP server collection for Claude Desktop with screen capture, computer control, and data analysis capabilities

The High-Performance Local Runtime for Autonomous Agents

Shell MCP Server for Claude AI Application

Extract MCP server config from GitHub repository README

ToolGym: An Open-world Tool-using Environment for LLM Agent Evaluation

Mcp_prompt

MCP tool to validate and fix the accessibility bug fixes

A collection of MCP servers for Gemini CLI, featuring SuperAgent orchestrator

The Model Context Protocol (MCP) Atlassian integration is an open-source implementation that bridges Atlassian products (Jira and Confluence) with AI language models following Anthropic's MCP specification. This project enables secure, contextual AI interactions with Atlassian tools while maintaining data privacy and security. Key features include:

A Model Context Protocol server providing tools to fetch and convert web content for usage by LLMs, with enhanced support for extracting specific content via CSS selectors, element IDs, or HTML tag names

Python client for interacting with MCP servers and LLMs

Newest MCP Server Botak Release

Code Interpreter MCP Server - Secure code execution via E2B on Function Compute

PyPI Package Management MCP Server for JAEGIS-web-os project with 8 fully implemented tools including working pypi_upload_package

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Modelcontextprotocol Server Filesystem

MCP server for filesystem access

Mcp Calculator Pkg

Python FastMCP calculator server wrapped for npx

Python MCP Server template

Bridge for stdio-only MCP tools that exposes their stdio protocol via streamable-http

Enhanced MCP server for interactive user feedback and command execution in AI-assisted development, featuring dual UI support (Qt GUI and Web UI) with intelligent environment detection.