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

Enables AI coding agents to discover and verify current open-source libraries and models using live GitHub activity, PyPI adoption, license checks, and hardware VRAM estimates before generating code.

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.

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

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.

An MCP server that turns CI failures, pull requests, security alerts, and Slack threads into Linear issues, Slack posts, changelogs, docs, and reports with evidence attached, through 25 agent-run workflows over 59 tools spanning GitHub, Linear, Slack, Notion, Google Docs, Google Calendar, Google Sheets, Firecrawl, and Tavily. It also handles credential setup in the OS keychain and pauses for approval before any create, send, change, or delete call.

MCP server that exposes tools to route natural language queries to typed IDs, describe catalog entries, and list repository verification commands for the m-dev-tools organization.

Intent-based project documentation server that automatically maps natural language queries to the right sources (plans, todos, roadmap, docs) and provides comprehensive task management with dependency tracking, backlog promotion, and archival workflows.

A secure MCP server for interacting with GitHub issues, pull requests, repository files, and search, supporting both github.com and GitHub Enterprise Server.

A FastMCP server that exposes predefined artifacts as Resources and project lifecycle operations as Tools for creating, updating, deploying, debugging, testing, monitoring, and configuring projects with minimal token usage.

Turns AI assistants into active Technical Project Managers by providing a persistent project brain and workflow tools for onboarding, session management, and code verification.

Analyzes Python project structure by exploring directory trees, extracting outlines from Python and Markdown files, and inspecting OpenAPI specifications.

An MCP server that enables AI coding assistants to interact with a local Airflow cluster via its REST API for triggering DAG runs, monitoring status, reading logs, and diagnosing errors.

Enables natural-language queries about public GitHub repositories, including issues, pull requests, repo metadata, and READMEs, via the GitHub API.

An MCP server that turns any public GitHub repository into a PDF report containing a codebase summary, the most recent commits, and suggested improvements — generated locally by an Ollama model.

Enables an editor LLM to run only preconfigured lint, test, and read-only git commands, blocking arbitrary bash execution.

An MCP server that scaffolds full-stack projects with consistent structure, Docker setup, CI/CD pipelines, and database configuration.

Enables searching and retrieving GitHub portfolio repositories and their READMEs through natural language.

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 Claude Code with cross-session long-term memory via Letta, allowing it to read and store project context, learnings, and decisions.

MCP server that searches, scores, and ranks GitHub developers for technical recruiting.

A local-first Model Context Protocol server that provides LLM agents with structured access to e-commerce data (products, inventory, orders, sales analytics) using a realistic mock dataset, zero configuration, and a swappable DataProvider interface for live APIs.

Local Dev Doctor turns an unfamiliar development checkout into an evidence-backed diagnosis. It discovers how the project is meant to run, checks safe prerequisites, and executes only the exact probe that a user approves.

A lightweight MCP server providing everyday developer utilities such as JSON formatting, UUID generation, Base64 conversion, HTTP status lookup, and Unix timestamp conversion as tools and resources.

Enables Brazilian developers to validate CPF/CNPJ documents and boleto digitable lines, generate and verify static Pix BR Code payloads with CRC16, compute Price-table installment schedules, and locate a salary within configurable pay bands. It also exposes a tool catalog resource and a billing-check prompt that ties document and Pix verification together.

Atlassian Jira/Confluence MCP server with schema-validated Markdown↔ADF roundtrips — surfaces content-model violations at conversion time instead of silently dropping panels, mentions, and layouts.

Generates daily GitHub work summaries by analyzing commits across all repositories a user owns or contributes to. It provides tools to fetch today's commit activity and deduplicate repository-specific updates for easy reporting.

Python MCP server for GitHub operations, providing native tool integration with Claude Code and other MCP clients. It enables managing issues, pull requests, CI status, milestones, and batch operations via natural language.

Automates GitHub workflows (branch creation, testing, commit/push, PR) through natural language instructions in Claude Code.

A Python framework that exposes developer tools through MCP, REST API, and CLI from a single shared registry, enabling AI assistants, HTTP clients, and terminal users to access the same tools.

Provides comprehensive GitHub pull request data including comments, labels, CI/CD status, and more, with support for pagination and filtering.