Connects AI assistants to GitHub repository documentation and code through hosted MCP endpoints.
Key Features: Repository-specific MCP endpoints Dynamic repository endpoint Connects AI clients to GitHub for repository, file, issue, pull request, workflow, and code analysis tasks.
Key Features: GitHub repository and file access Issue and pull request workflows GitHub Actions and release monitoring Connects AI clients to Jira, Confluence, Bitbucket, and other Atlassian Cloud products through a hosted MCP endpoint.
Key Features: Remote MCP endpoint hosted by Atlassian OAuth 2.1 and API token authentication Jira and Confluence access Indexes a repository locally to give agents dependency, history, risk, documentation, and architecture context through MCP tools.
Key Features: Local repository indexing Dependency and symbol graph analysis Git history and change context MCP server exposing 58 Bitbucket API tools for repos, PRs, pipelines, branches, commits, deployments, webhooks, tags, and permissions.
Key Features: List, create, update, delete repositories Full pull request lifecycle management with comments and diffs Trigger, stop, and view pipeline runs and logs A Model Context Protocol (MCP) application for automated GitHub PR analysis and issue management.…
GitHub MCP — wraps the GitHub public REST API (no auth required for public endpoints)
Independent static verification for exact immutable public GitHub commits.
Manage GitHub contributions with PR monitoring, issue discovery, CI diagnosis, and maintainer response drafting.
Key Features: 30 MCP tools, 6 resources, and 4 prompts Cross-repository pull request monitoring CI failure categorization and diagnosis Researches local code, GitHub repositories, pull requests, issues, commits, and npm packages through MCP.
Key Features: GitHub code, repository, issue, PR, commit, release, and Discussion search Local text, AST, file, structure, and dead-code analysis LSP semantic navigation and diagnostics Provides MDMA specifications, prompts, validation, package metadata, and documentation through MCP tools.
Key Features: MDMA specification retrieval Model-specific author, reviewer, and fixer prompts Structured system-prompt generation Provides AI assistants with tools to browse public GitHub repos, explore directories, and read file contents via MCP.
Key Features: List root and subdirectory contents of public GitHub repos Fetch and display file contents from GitHub repositories Supports unauthenticated and token-authenticated GitHub API access