"Using MCP server to manage GitHub Actions" matching MCP servers:

Scans GitHub Actions workflow files for dangerous triggers, template injection, unpinned actions, excessive permissions, and secrets in shell commands before they are committed, exposing the checks as MCP tools for agents.

MCP server for exploring GitHub public data. It provides tools to fetch user profiles, list top repositories, and calculate language usage statistics, which AI agents can invoke dynamically.

MCP server exposing GitHub tools for issues, pull requests, and code browsing via the GitHub REST API. Designed for local LLM clients with flat arguments and streamable HTTP support.

Enables AI assistants to search and inspect code repositories, manage issues and pull requests, and analyze user contributions.

MCP server that exposes GitHub operations as tools for AI agents, enabling code search, issue management, and PR review.

Enables self-hosted, read-only remote interaction with GitHub repositories, allowing listing repositories, searching code, and inspecting commits, pull requests, issues, and diffs via authenticated MCP clients.

Enables AI assistants to analyze GitHub repository structures and read file contents with features like directory traversal, file type analysis, syntax highlighting, and code pattern detection. Supports both public and private repositories through GitHub API integration.

Enables automated GitHub Pull Request reviews using local Ollama, Cursor CLI, or Gemini CLI as AI providers. Supports customizable review prompts, comprehensive PR analysis, and optional auto-posting of reviews to GitHub.

Enables GitHub repository analysis including health score, comparison, commit heatmap, and trending MCP servers, with interactive widgets.

Enables AI agents to search repositories, inspect files and code, list issues and commits, check releases, and look up GitHub user profiles through the GitHub public REST API without authentication.

Stateless Streamable HTTP MCP server exposing 5 GitHub tools (user info, repository metadata, file contents, issue listing, and issue creation) with token-based authentication required only for tool calls.

Provides four GitHub superpowers (repo-scorecard, compare-repos, commit-heatmap, trending-mcp) as MCP tools with React widgets for repository health analysis, comparison, commit activity visualization, and trending MCP servers.

A server-side implementation that handles context processing between GitHub repositories and AI models, enabling seamless integration of AI capabilities with codebases through the Model Context Protocol.

Enables read-only browsing and querying of GitHub repositories, including listing repos, reading files, fetching READMEs, searching code, and viewing commit history via MCP.

Enables large language models to explore, inspect, and analyze GitHub repositories through natural-language queries, using MCP tools to retrieve repository data, file structures, file contents, and code search results from the GitHub REST API.

A read-only MCP server for GitHub that exposes 7 tools (list repos, commits, branches, pull requests, issues, file contents, search) via a Cloudflare Worker, using a single password for authorization and a fine-grained GitHub token for access control.

A Model Context Protocol server that connects GitHub code to Claude.ai. This server utilizes the Pera1 service to extract code from GitHub repositories and provide better context to Claude.

An MCP server that turns any public GitHub repository into a PDF report containing a codebase summary, the most recent commits, and suggested improvements — generated locally by an Ollama model.

A server that validates GitHub repositories against configurable rules for React applications, enabling structure, configuration, dependency, and naming checks.

Enables read access to GitHub source code, including code search, file contents, symbols, and Java-aware fragment extraction, with optional per-call repository overrides.