一个为程序员学习助力的Model Context Protocol服务器。
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Enables AI clients to interact with and control the Unity Editor through a Python MCP server bridge, allowing natural language-based Unity project manipulation.
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A framework for writing MCP (Model Context Protocol) servers in Typescript
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Provides tools for AI agents to search, browse, and retrieve the full documentation for the mcp-framework. It enables agents to access documentation sections and page content directly within MCP-compatible environments like Claude Code and Cursor.
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Provides AI assistants with frontend development tools including component scaffolding, bundle analysis, accessibility checks, and responsive design guidance. Enables automated generation of React components with tests and stories, bundle optimization recommendations, and WCAG compliance fixes.
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A Unity Editor MCP server that gives Claude Code full control over Unity projects through 268 tools, 7 resources, and specialized AI agents. It enables AI-assisted game development by allowing Claude to see, create, modify, and inspect everything in Unity including scenes, GameObjects, scripts, and builds.
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Custom Model Context Protocol (MCP) Server that provides AI-powered tools to assist game developers in tasks related to combat balancing, skill analysis, level pacing, and simulation.
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Reduces LLM context window overhead by proxying multiple MCP servers through a few efficient dispatch tools instead of registering hundreds of individual tool schemas. It supports multi-account routing and tool discovery for both CLI-based and persistent MCP server configurations.
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A lightweight SnapEnv McpGateway client for SnapEnv McpGateway server, enabling AI Agents access to MCP server's running on local computer.
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A base setup for creating MCP servers that integrate with Google's Gemini CLI, including example implementations for weather data retrieval from OpenWeatherMap and basic resource/tool definitions using FastMCP.
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MCP Server providing AI agents with tooling for Gerrit code review workflows via stdio transport.
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公开目录未提供摘要。
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A containerized service that enables MCP clients to interact with data and perform actions through a remote browser environment. It supports live streaming of the container desktop and offers proxy configuration for location-based browser sessions.
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Enables LLMs to systematically develop and validate regex patterns by defining test cases with expected matches, testing patterns against them, and iteratively refining until all requirements are satisfied.
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Provides comprehensive Git operations as tools for AI assistants and applications. This server enables AI systems to interact with Git repositories, allowing to initialize, fetch, commit, log, status, etc..
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MCP server exposing Git operations as tools
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An enhanced Git MCP server that provides AI assistants with powerful code review, commit analysis, and branch management capabilities for Git repositories.
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This repository was created to demonstrate the capabilities of the GitHub MCP server.
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Anthropic's github MCP server, but better. Support for more endpoints. Including releases and tags, pull request reviews, statuses, rate limit, gists, projects, packages, and even pull request diffs. Indented to be used with MissionSquad's MCP API for secret management (aka your access token).
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Connect MCP Github server
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