"How to use GitHub" matching MCP servers:

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 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 managing GitHub Project views, priorities, dependencies, and metrics through natural language.

Enables to manage to-do items through natural language, with tools for creating, reading, updating, and deleting tasks.

Enables AI agents to register, claim tasks atomically, coordinate via heartbeats, and submit work for review while human managers generate PRDs, plan sprints, triage issues, and materialize tasks into GitHub issues using GitHub-native storage.

Enables AI agents and project managers to turn GitHub Projects v2 into an autonomous project management platform with task checkout, multi-agent coordination, PRD-to-issue pipelines, sprint planning, triage, and GitHub-native storage.

Enables AI agents to use GitHub Projects v2 as a persistent task backbone: registering, atomically claiming tasks, coordinating via heartbeats, submitting work for review, and enforcing token budgets. It also supports AI-powered PRD generation, task breakdown, sprint planning, issue triage, roadmap creation, and materializing tasks into GitHub issues, milestones, and sprints.

Enables AI coding agents to use GitHub Projects v2 as a shared task substrate, with registration, atomic task checkout, heartbeats, budgets, peer review, and self-healing coordination. It also automates PRD-to-issue pipelines, sprint planning, triage, roadmaps, GitHub Actions, releases, and branch workflows through MCP tools, resources, and prompts.

Enables AI coding agents to use GitHub Projects v2 as an autonomous task backbone, with task checkout, atomic claims, heartbeats, peer review, token budgets, and PRD-to-issues automation. It also supports AI-powered sprint planning, issue triage, roadmap generation, and MCP resources/prompts.

Enables AI coding agents and human managers to turn GitHub Projects v2 into an autonomous project-management layer with task checkout, multi-agent coordination, PRD-to-issues pipelines, sprint planning, triage, token budgets, and GitHub Actions/Releases/Branches through MCP tools, resources, and prompts.

Enables AI coding agents to register, self-assign and coordinate tasks, track progress, review work, and manage GitHub Projects v2 with AI-powered PRD generation, sprint planning, issue triage, and PRD-to-issues pipelines backed entirely by GitHub-native storage.

Enables AI assistants to manage GitHub repositories, issues, files, branches, and pull requests through the Model Context Protocol.

Enables AI agents to interact with GitHub repositories and issues through MCP tools, supporting listing repositories, listing and searching issues, and retrieving specific issues via the GitHub REST API.

Enables AI agents to send emails and manage tasks in Microsoft To Do with scoped, low-risk access to Microsoft Graph.

An MCP server that connects Claude to your real GitHub activity and tells you what to build and ship publicly to make your resume credible.

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 AI clients like Claude to read and manage Microsoft To Do task lists and tasks via the Microsoft Graph API, running locally over stdio with secure token storage.

Generates daily standup drafts from your actual GitHub, Jira, Linear, and Slack activity, grouping work items and detecting blockers.

An MCP server that reads public GitHub Projects v2 boards (including item-level data like status and custom fields) without authentication, using official APIs and fallback methods for user-owned projects.

Generates sprint retrospectives grounded in actual data from Jira, GitHub, and Slack, providing evidence-backed insights and action items.

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.

Enables reading GitHub Projects v2 kanban boards mid-conversation, with tools to list boards, retrieve board details, and summarize their contents.

Persistent memory MCP server for Claude Code, Cursor, and GitHub Copilot. Semantic search, Git sync, project-based, Persistent memory MCP server for Claude Code, Cursor, and GitHub Copilot. Semantic search, Git sync, project-based organization, and team collaboration via Model Context Protocol.

Bridges Linear issue tracking and GitHub repository management with ARC naming conventions, enabling composite workflows like creating a Linear issue and GitHub branch in one step.

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.

A production-ready MCP server for triaging and reviewing GitHub pull requests via the GitHub REST API, providing typed tools to list, inspect, comment, add labels, and submit reviews.

An MCP server that gives AI agents direct access to Algora's open-source bounty platform. Use it to discover, search, and analyze open bounties.

Enables answering 'what needs me right now?' across GitHub issues by determining whose turn it is and returning ready-to-read Markdown reports.

Connects Claude to GitHub activity to generate standup summaries of commits, PRs, reviews, and issues for individuals or teams.

Enables AI coding agents to orchestrate the full software development lifecycle on GitHub, including planning, issue creation, code review, security triage, and release readiness checks.

AI job search and job application tracker. Search live jobs by title, location, salary, date posted, and remote or on-site, and see each one checked on real data: pay against market rates, ghost-job signals, visa sponsorship history, and how well it matches your resume. Check how hiring software reads your resume, track applications, set follow-up reminders, and get email alerts.

Deprecated, please use Dart connector instead. https://glama.ai/mcp/connectors/com.dartai/dart

Enables AI agents to read and edit Microsoft To Do tasks, lists, and steps via Microsoft Graph, including due dates, reminders, and subtasks.

MCP server for seamless Jira integration with GitHub Copilot CLI, allowing natural language queries to search, view, and manage Jira tickets.

Manages GitHub Projects v2 as a personal kanban board, allowing you to create, move, and prioritize draft items without linking to real issues.

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.

Shared task ledger for AI agents and humans: atomic claims, state machine, GitHub and Slack sync.

Enables AI clients to search and read GitHub issues and pull requests, including full issue bodies and comments, through MCP tools. It returns compact JSON so agents can gather repository activity and draft project updates.

Enables AI agents to manage GitHub issues by listing, creating, searching, and commenting on them through MCP.

One-pass agentic inbox triage as an MCP server: fetch unread Gmail → classify (action_needed/fyi/newsletter/noise) → summarize → extract tasks → draft replies as Gmail DRAFTS (never sends) → flag calendar → write a triage report. Four stdio tools (fetch_emails, save_gmail_draft, append_tasks, write_report); the host is the LLM, so it runs keyless in Claude Code. Gmail scopes: readonly + compose