Descubre 923 MCPs desarrollados para GitHub.
Provides an enterprise-grade agentic TypeScript web development framework for authoring, testing, and maintaining AI-powered web applications.
Enables MCP-compatible LLMs to communicate with a server and interact with the GitHub API.
Automates code auditing for AI-generated output, enforcing compliance and quality standards.
Empowers AI agents to perform precise code modifications and comprehensive symbol management across codebases.
Executes an agent, potentially for use with CodeQL analysis on local Git repositories within a Docker container.
Generates cryptographically verified Digital Twin snapshots of entire codebases as immutable, restorable PDFs for AI consumption and perfect reconstruction.
Provides a foundational boilerplate for building new MCP servers.
Explores Artificial Intelligence concepts through hands-on project creation using Laravel, Vue, and modern AI tools.
Implements an approval workflow for GitHub operations, requiring explicit administrative sign-off before actions are executed.
Extends GitHub Copilot's capabilities by providing intelligent context compression and dynamic model routing for long-lived coding sessions.
Enables AI code assistants to generate up-to-date code by checking the latest library documentation.
Connects AI agents to remote Git repositories to fetch and search markdown documentation and notes.
Streamlines README file management for development projects by automating creation, content generation, summarization, and AI-driven analysis.
Interacts with the GitHub API to fetch user details, repository information, and authenticated user data.
Integrates various services with Claude and other LLMs using the Model Context Protocol.
Translates text and GitHub issue comments between languages using OpenAI models, automating translation workflows via GitHub Actions.
Orchestrates Container-Native and Local-First MCP servers from GitHub repositories using Docker or Podman.
Provides GitHub Copilot with persistent knowledge storage and retrieval capabilities using a local, semantic memory system.
Automate GitHub repository management and integrate with AI agents for enhanced development workflows.
Provides a structured workflow system to guide AI models and developers through consistent and reliable development processes.
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