"GitHub repository for litopys-dev/litopys project" matching MCP servers:

Enables natural-language analysis of GitHub repositories by exposing repository metadata, source code retrieval, search, and file reading as MCP tools, with answers grounded in the actual repository content.

Enables management of GitHub projects and issues using GitHub's GraphQL API. Supports creating/updating issues with images, managing labels and assignees, organizing ProjectsV2 boards, and updating project item statuses.

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.

Provides comprehensive tools for managing GitHub projects, milestones, tasks, and sprints. This server integrates deeply with GitHub Projects V2, offering features like automated kanban workflows, sprint planning, and custom field management.

Enables Codex and other MCP clients to read kickoff cards, acceptance criteria, Git evidence, and next steps, then append validated, audited progress events for resumable project handoffs.

Enables AI coding agents and teams to turn GitHub Projects v2 into an agentic task substrate where agents register, claim work atomically, heartbeat, review each other, and track token budgets. It also provides AI-powered PRD generation, task breakdown, sprint planning, issue triage, roadmap creation, and GitHub Actions/Releases/Branches management with no external infrastructure.

A server that allows AI assistants to browse and read files from specified GitHub repositories, providing access to repository contents via the Model Context Protocol.

Enables comprehensive GitHub project management with 20 tools for issue tracking, milestone management, label organization, AI-powered task complexity analysis, and PRD generation with roadmap planning capabilities.

Enables AI applications to automatically analyze local repositories and create GitHub repositories with proper configuration, topics, and complete setup workflow.

Enables Codex agents to read a project's kickoff card, acceptance criteria, handoff package, progress, Git trail and next step, then append validated, audited, idempotent progress events that become matching project-record Git commits. Access is scoped to one workspace and project through short-lived, revocable, hash-stored credentials that cannot touch members, keys, deletion, publication or deployment.

It enables AI agents to retrieve Git-backed project context, handoff packages, and next actions, then append validated, audited progress events as project-record commits.

Enables AI coding agents to self-assign and coordinate tasks, track progress and token budgets, and automate GitHub project workflows such as PRD-to-issues pipelines, sprint planning, triage, reviews, and releases.

Turns GitHub Projects v2 into an autonomous project management backend where AI agents register, atomically claim and heartbeat tasks, review each other's work, and ship code within per-agent token budgets. Humans get AI-driven PRD generation, sprint planning, issue triage, and roadmap creation, with all state stored natively in GitHub issues, project fields, and comments.

Enables MCP-compatible LLM clients to retrieve repository metadata, list and read files, search code, and fetch README content through natural-language requests.

Enables AI agents and humans to read a project's kickoff card, acceptance criteria, handoff package, progress, Git trail, and next step, then append audited, idempotent progress events that are committed to the project's Git record. Access is scoped per project through short-lived, revocable credentials, keeping high-risk actions outside the tool surface for human approval.

Enables Codex projects to read Git-backed context, acceptance criteria, progress, and handoff packages, and to append validated, audited progress events with matching project-record commits.

Enables Codex agents to read a project's context — kickoff card, acceptance criteria, handoff package, progress, Git trail, and next step — over MCP, and to append one validated, audited, idempotent progress event that is committed to a Git-backed project record using scoped, short-lived credentials.

It reads a project's kickoff card, acceptance criteria, AGENTS rules, progress, Git trail, and handoff package, and appends validated, audited progress events tied to project-record Git commits. This gives Codex agents scoped, credential-bound access to resumable project context and safe handoffs.

A production-grade MCP server for managing git projects, offering dynamic tool selection and enterprise-grade security.

Enables agents to read a project's kickoff card, acceptance criteria, AGENTS rules, handoff package, progress, Git trail, and next step, and to append validated, audited progress events with matching Git commits through short-lived scoped credentials.

It lets AI coding clients read a project’s kickoff card, acceptance criteria, AGENTS rules, handoff package, progress, Git trail, and next step, then append a validated, audited, idempotent progress event with a matching project-record Git commit.

Enables Codex to read a project's kickoff card, acceptance criteria, AGENTS rules, handoff package, progress, Git trail, and next step, and to append validated, audited, idempotent progress events with a matching Git commit.

Enables Large Language Models to analyze GitHub repositories in real-time, providing tools for retrieving repository information, analyzing issues, accessing documentation, and visualizing activity.

Enables users to profile public GitHub repositories via a single tool, checking for Spring/Java structure such as pom.xml, src/main/java, Java file counts, and Spring layer annotations to assess suitability for deep local analysis.

Enables Codex users to retrieve Git-backed project context and append validated, audited progress events as matching Git commits, so work can resume safely across sessions.

Enables large language models to explore, inspect, and analyze GitHub repositories through natural-language queries, using MCP tools to retrieve repository data, file structures, file contents, and code search results from the GitHub REST API.

Enables AI agents to read a project's kickoff card, acceptance criteria, AGENTS rules, handoff package, progress, Git trail, and next step, then append validated, audited, idempotent progress events that are recorded as a matching Git commit. This keeps project truth in Git so work stays visible, resumable, and safely handable between humans and agents through scoped, short-lived credentials.

Enables real-time assessment of GitHub repository health by exposing tools and resources for repository metadata, open issues, recent commits, and GitHub Actions workflow runs, plus prompts for health reports and issue triage.

Enables AI models to access GitHub repository contents as context, with features to fetch entire repositories, specific file contents, and repository structures for use in AI interactions.

GitHub's official MCP Server