Provides a private, managed instance of the official GitHub MCP server hosted on Amazon Bedrock AgentCore with Okta authentication. It allows developers to securely interact with GitHub through MCP-compatible IDEs over a private AWS infrastructure.
Enables AI agents to discover GitHub repositories by expanding intents into multiple keyword queries, searching GitHub's live Search API, and returning deduplicated, ranked candidates with README excerpts and metadata.
This MCP server analyzes Git reflog and object data to provide recovery signals after accidental resets or deletions, helping assess whether lost commits or branches may still be recoverable without exposing sensitive details.
Generates multi-platform release announcements (X, Reddit, GitHub profile, awesome-list, MCP directory) and a publish-readiness checklist for any public GitHub repository.
MCP server for GitFlic, the Russian Git hosting platform, enabling AI agents to manage projects, issues, merge requests, files, and more via 66 tools covering 13 API categories.
Connects to the Zread.ai documentation platform, enabling AI assistants to read GitHub repository documents, search code, and interact with repository AI.
Zero-friction publishing platform that enables Claude Desktop users to publish artifacts to a personal GitHub Pages portfolio site through simple conversational commands.
Connects AI assistants to GitLab, allowing users to manage merge requests, view reviews, and interact with discussions through natural language queries.
Provides GitHub data analysis for repositories, developers, and organizations, enabling insights into open source ecosystems through API calls and natural language queries.
Implements Model Context Protocol (MCP) to enable interaction with CODING DevOps platform through standardized interfaces for managing projects and work items.
A Model Context Protocol server that enables AI to manage AtomGit open source collaboration platform resources including repositories, issues, pull requests, branches, and labels.
An MCP server that enables natural language search capabilities for Spryker packages and code across GitHub repositories, allowing users to find Spryker modules and documentation using conversational queries.
Enables AI assistants to interact with Git repositories via MCP, supporting status checks, diffs, staging, commits, branch management, and log queries.
Enables checking git repository status and viewing recent commit history through natural language queries. Supports error handling for non-git directories and allows specifying custom directory paths.
Enables LLMs to interact with GitHub issues by providing details as tasks, allowing for seamless integration and task management through GitHub's platform.