"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.

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

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.

Enables task management (create, list, update tasks with priority and status) using SQLite storage via MCP tools.

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.

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 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.

Enables task management through natural language: create tasks, list and filter them, and update their status. It uses SQLite for persistence and supports both local stdio and remote SSE transports.

Enables MCP-compatible AI clients to manage GitHub repositories and issues and trigger repository dispatch events via tools and a REST API.