Descubre 923 MCPs desarrollados para GitHub.
Automates code analysis and testing for Python projects by performing linting and static type analysis within a continuous integration environment.
Provides a collection of servers that interface with various services and APIs, designed for use with Cursor IDE.
Demonstrates functionality of the GitHub MCP server through GitHub API integration and multilingual support.
Monitors and compares the response times of GitHub Copilot and other AI models.
Demonstrates server functionality for managing GitHub repositories, issues, branches, and files.
Implements a basic Model Context Protocol (MCP) server in TypeScript, following official specifications and best practices.
Transforms GitHub-based MCP repositories into instantly deployable, callable, and monetizable AI services within a crypto-native agent marketplace.
Implements Model Context Protocol (MCP) servers with CodeQL security checks for enhanced Cursor capabilities and sensitive data protection.
Documents the setup and configuration process for a GitHub Model Context Protocol (MCP) server.
Provides Large Language Models with a persistent memory of coding history, tracking code evolution across AI sessions.
Enables AI agents to securely access and manage GitHub Enterprise data, including users, organizations, and licenses.
Facilitates developer documentation, configuration, and settings search for AI assistants and development workflows.
Provides a modular backend server offering various APIs for weather, location, calculations, IoT device control, and GitHub search.
Automates real-time enforcement of TBC Bank development standards with integrated compliance checking and AI-powered code generation.
Enables seamless file operations for AI assistants like Claude Desktop and Web Claude through a Model Context Protocol (MCP) server.
Performs real-time security scans on codebases for AI agents and LLM-powered IDEs.
Enables AI assistants to interact with the GitHub API using the Model Context Protocol (MCP).
Provides Commitizen functionality through Model Context Protocol tools, enabling AI assistants to generate and validate conventional commit messages.
Enables the creation, management, monitoring, and interaction with GitHub Actions workflows through a standardized interface.
Connects AI assistants and Large Language Models to GitHub, Confluence, and Databricks environments via the Model Context Protocol.
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