GitHub를 위해 구축된 923개의 MCP를 찾아보세요.
Automates the graceful closing of Cursor work sessions, synchronizing context files, updating Agent OS files, and committing changes to Git.
Manages Model Context Protocol (MCP) interactions with a central proxy, intelligent agent, and a suite of mock services for seamless AI development and integration.
Demonstrates the integration and usage of the GitHub API through MCP server functionality.
Demonstrates interaction with the GitHub API from an AI assistant using the GitHub MCP-server.
Empowers AI assistants with specialized analysis tools for comprehensive code review, including test generation, security auditing, and refactoring suggestions.
Provides AI assistants with access to shadcn/ui component documentation, examples, and API details via the Model Context Protocol (MCP).
Generates commit messages from git staged files, facilitating Gitflow workflows.
Exposes a user's GitHub starred repositories as structured resources for large language model (LLM) applications.
Facilitates interaction with the GitHub API using the Model Context Protocol.
Generates professional, client-ready daily change logs and tracks development activities for efficient project reporting.
Enables Claude AI assistant to interact with and manage GitHub repositories.
Integrates the GitHub REST API, offering tools for repository search, issue retrieval, and code searching via a Model Context Protocol (MCP) server.
Transforms complex GitHub Actions Runner Controller (ARC) operations into conversational AI interactions for streamlined management.
Provides AI agents with powerful GitHub integration capabilities for managing repositories, code, and issues.
Provides Large Language Models with a persistent memory of your coding history to maintain momentum across AI sessions.
Provides a lightweight web server that can be executed directly from its GitHub repository.
Provides Model Context Protocol (MCP) services for Testlemon projects, enabling integration and action execution.
Configures comprehensive CI/CD pipelines to ensure code quality and system integration for the Midnight server project.
Automates and orchestrates development tasks with rigorous quality control and comprehensive validation.
Automates building Docker images from remote GitHub repositories and publishes them to either the GitHub Container Registry (GHCR) or Docker Hub.
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