"A server for GitHub integration using MCP" matching MCP servers:

Enables AI agents to interact with GitHub through OAuth-authenticated operations including starting authorization flows, listing repositories, and creating issues using stored access tokens.

Enables Boneyard to call authenticated, stateless Streamable HTTP tools for searching tickets and adding ticket comments, with caller context, attribution, and bounded results.

MCP server enabling Claude Code to capture screenshots of Windows applications through WSL2, allowing AI to diagnose UI errors and verify layouts.

Enables remote access to GitHub REST and GraphQL APIs via dynamically generated and universal tools, with support for Actions log retrieval, schema introspection, and read-only Git clone/fetch.

Enables interaction with SAP Integration Suite for designing, creating, and managing integration artifacts including integration flows, message mappings, packages, and B2B trading partner relationships through AI-powered natural language commands.

Integration project for Model Context Protocol (MCP) servers with Claude Desktop App, enabling filesystem operations, development support, and file management through natural language.

Turns raw GitHub commit history into a categorized, human-readable changelog directly inside Claude or any MCP-compatible client.

An MCP server that enables AI assistants to interact with GitHub via a fine-grained personal access token — pushing commits, managing branches, opening and merging PRs, creating issues, and reading repositories. It runs locally with no telemetry and supports a read-only mode.

Enables AI agents to analyze employee GitHub activity including PRs, code reviews, comments, and contributions across repositories with time-range filtering for performance assessment and impact analysis.

Local MCP server for safe GitHub developer workflows. Enables pulling main, creating feature branches, pushing them, and opening ready-for-review pull requests via tools like github_create_feature_branch and github_create_pull_request.

A read-only MCP server that lets AI assistants inspect local workspace files, search context, view git diffs, and fetch a fixed GitHub profile, all within a sandboxed stdio transport.

Enables querying GitHub repositories for pull requests, commits, and comparisons to understand code changes.

Enables safe GitHub automation by queuing write operations for admin approval before execution.

An MCP server that enables AI agents to perform comprehensive GitHub security audits across org settings, repositories, Actions workflows, secrets, supply chain, and access control using 39 tools and 45 checks.

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

Enables AI agents to interact with GitHub repositories through the GitHub REST API for managing files, issues, and repository metadata. It supports both read operations like searching code and write operations such as creating repositories and updating issue comments.

Enables interaction with GitHub repositories, issues, pull requests, code search, branches, and GitHub Actions workflows.

Enables interaction with GitHub repositories, issues, pull requests, and code search through natural language. Supports self-hosted deployment with built-in analytics and flexible authentication options.

MCP (Model Context Protocol) server for GitHub API integration. This server provides comprehensive tools for interacting with GitHub repositories, issues, pull requests, branches, and code search through a unified interface.

Enables read-only monitoring, failed-message analysis, health summarization, and AI-assisted troubleshooting against SAP Cloud Integration tenants through MCP-compatible clients.