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

Persistent graph-based memory for AI agents, stored as plain markdown — no vector DB. Typed nodes and 11 relation types via 5 MCP tools (search, get, create, link, related), stdio and HTTP/SSE transports.

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.

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.

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.

Enables AI coding agents to register, claim tasks atomically, coordinate via heartbeats, review each other's work, enforce token budgets, and ship code using GitHub Projects v2 as the backing store. It also gives humans AI-powered PRD generation, sprint planning, issue triage, and roadmap creation without external infrastructure.

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

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 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.

Provides tools for managing project knowledge graphs, enabling structured representation of projects, tasks, milestones, resources, and team members.

Allow to manage Issues and Project on Github

Enables AI assistants to interact with GitHub directly by fetching repository information, creating issues, and triggering repository_dispatch events through natural language.

Enables comprehensive GitHub workflow automation including Actions monitoring, PR management, code search, file operations, and repository management through a code-first architecture that reduces token usage by 98%.

Provides four GitHub superpowers (repo-scorecard, compare-repos, commit-heatmap, trending-mcp) as MCP tools with React widgets for repository health analysis, comparison, commit activity visualization, and trending MCP servers.

A Model Context Protocol server that provides development standards and best practices context to AI coding assistants, ensuring generated code adheres to team/project conventions.

Provides AI-driven project memory management through structured prompts that help Claude parse tasks from specs, review code changes, sync with commit history, and maintain project documentation without directly accessing files.

An MCP server that automates the full software development lifecycle through an AI-driven TDD state machine. It handles everything from task decomposition and test-driven development to integration testing and automated pull request creation.

An MCP server that transforms text into knowledge graphs and autonomously generates insights by combining Montague Grammar with Zettelkasten methodology.

Enables compatible AI clients to open, inspect, edit, test, commit, and manage GitHub repositories through local STDIO or authenticated remote Streamable HTTP, including issues, pull requests, workflows, and repository creation.

An MCP server that allows Claude and other MCP-compatible LLMs to interact with the GitHub API, supporting features like creating issues, getting repository information, listing issues, and searching repositories.

It enables users to interact with a codebase through hybrid retrieval, code graph navigation, impact analysis, and context preparation for AI coding agents.

MCP server that enables LLMs to search GitHub, clone repositories, and perform read-only git/GitHub operations such as listing branches, commits, issues, and pull requests.

A policy-aware MCP server for GitHub and GitHub Actions that enables safe AI-assisted infrastructure workflows—inspecting repositories, preparing branches and pull requests, and constrained remote mutations behind explicit preview-bound approval tokens.

Enables geospatial analysis by chaining MCP tools that resolve areas, select datasets, pull statistics, and generate insights, with session state passing data between tools.

Enables decoding VINs into complete vehicle specifications, searching active used car listings from US dealers, and retrieving vehicle valuations with total cost of ownership estimates.

Coordinate AI agents and people in shared rooms: post, claim and hand off work, close with receipts.

Enables AI assistants to query GitHub repository data through read-only tools, including repo metadata, issues, pull requests, commit statuses, PR diffs, and recent commits. Works with any MCP-compatible client over stdio or Streamable HTTP.

Enables Claude and other MCP clients to read and write GitHub repositories, pull requests, issues, files, branches, commits, releases, and more using a personal access token without OAuth.

An MCP server that provides CLI coding agents with persistent decision memory, codebase dependency-graph awareness, plan validation against architectural constraints, and a self-bootstrapping constraints.md file.

MCP server providing maximum practical control over GitHub via REST and GraphQL APIs, exposing 22 tools for repository management, file operations, issues, PRs, Actions, and more.

MCP server that connects to the GitHub API to list and create issues, comment on issues, and list pull requests with diff summaries. It enables natural language management of GitHub repositories from MCP-compatible clients.