Enables comprehensive GitHub operations through natural language including file management, repository administration, issue tracking, and advanced code searching.
A local, provider-neutral MCP server for repository-scoped issue handling. It provides a guarded interface to Linear, GitHub Issues, GitHub Projects v2, and Jira Cloud, with preview/apply safety and host-local configuration.
A Model Context Protocol server that provides comprehensive GitHub integration for Claude Desktop, allowing users to manage repositories, issues, and pull requests. It supports file operations, branch management, and repository searches through natural language commands.
Enables managing GitHub Projects v2 boards through Claude Code and Codex, including project and item administration, field updates, sprint boards, epic rollups, and desired-state planning.
Lets agents read a GitHub repository's live issues through read-only tools for listing, filtering, fetching details with comments and cross-references, searching, and exploring labels and milestones, with transparent pagination and provenance notes.
Enables coding agents to read and modify GitHub issues, project boards, pull requests, repositories, releases, and Actions through configurable toolsets, with read-only and write-confirmation controls.
A minimal MCP server that exposes a focused set of GitHub PR review tools to AI agents, enabling PR listing, detail retrieval, comment viewing, and thread management.
Exposes GitHub issue and pull-request triage capabilities to any MCP client: fetching repository context, classifying and prioritizing requests, finding duplicates, and applying labels, comments, assignments, closures, or reopenings. All writes are policy-gated, dry-run by default, and destructive actions require explicit two-step human confirmation.
Enables AI assistants to query GitHub repository insights such as health, commit activity, stale pull requests, contributor stats, releases, and issue backlogs through MCP tools.
Enables MCP-compatible coding agents to share persistent project context, task claims, handoffs, decisions, test reports, and searchable history through a local or team-hosted SQLite-backed service with a React dashboard.
A Model Context Protocol server that enables efficient management of GitHub issues in a Kanban board format, allowing LLMs to automate task management through GitHub integration.
Enables an AI assistant to read, search, summarize, and triage GitHub issues and repository activity through an allowlisted, read-only set of tools, prompts, and resources. Every input is validated, every repository must be explicitly approved, and all third-party issue text is fenced off and marked as untrusted before it reaches the model.
Enables AI-powered GitHub issue management by converting natural-language bug reports into structured issues, detecting duplicates via semantic analysis, and requiring human approval before creating issues on GitHub.
Enables AI agents to read GitHub Projects v2 boards over stdio, letting them list projects and their items across repositories so cross-repository work can be coordinated without scanning every repository. The read-only MVP authenticates via a GitHub App installation token minted at runtime and exposes list_projects, get_project, and list_project_items tools with cursor-based pagination.
Enables LLMs to interact with GitHub issues by providing details as tasks, allowing for seamless integration and task management through GitHub's platform.
Enables AI agents and project managers to turn GitHub Projects v2 into an autonomous project-management layer, handling task checkout, atomic claims, heartbeats, reviews, token budgets, and AI-powered PRD, sprint, triage, and roadmap workflows. It also provides GitHub Actions, Releases, Branches, MCP Resources, and MCP Prompts support with GitHub-native storage.
Enables end-to-end automation of developer workflows from Jira issue tracking to GitHub pull requests through natural language, allowing developers to search issues, create branches, commit changes, and manage PRs directly from their IDE.