"A manager for organizing and handling tools" matching MCP servers:

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

Enables managing local repositories, CLIs, MCP servers, and skills via MCP tools, with inventory tracking, guarded updates, and Docker-sandboxed trials.

A modular multi-server architecture providing development automation, JIRA management, and performance reporting for Claude Code. It features specialized tools for PR health analysis, code reviews, and generating comprehensive team and individual quarterly reports.

Odds are, most of what you want to build is already open source. Tell your AI agent what you're making, and it finds it: which repos to use as they are, which to adapt, and what's left for you to write. Every repo it names is real, licensed for your use or flagged, and checked live.

repo-release-tools mcp-server automates the software release process by managing version bumps, changelog generation, and releases. It streamlines repository maintenance by handling repetitive release tasks directly through your AI assistant.

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 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.

Gives any MCP-compatible AI chat or agent a safe, model-neutral coding runtime with file read/search, structured multi-file patches, command execution, interactive sessions, and git operations, all confined to a single workspace and gated by permission modes.

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.

GitHub Repos Manager MCP Server that enables your MCP client (e.g., Claude Desktop, Roo Code, etc.) to interact with GitHub repositories using your GitHub personal access token.

Aggregates GitHub, GitLab, and Figma development tools via MCP, enabling file access, code search, and design inspection. Also supports executing standalone tasks with Claude Code or Codex CLI.

Provides AI coding assistants with tools to run git status, recent commits, tests, and linter on a real repository.

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.

Git-driven MCP server that manages and provides prompt templates with Handlebars support, enabling teams to collaborate on and version-control reusable, dynamic prompts across AI editors like Cursor and Claude Desktop.

A small MCP server for course experiments that provides tools to read recent commits from public GitHub repositories.

Enables AI agents to perform GitHub analytics and management tasks, including repository analysis, PR summarization, issue triage, release notes generation, and contributor statistics.

Enables AI agents to manage dotfiles using git bare repos, supporting tracking, syncing, multiple stores, and remote setup through natural language.

Enables AI agents to analyze local Git repositories with commit logs, diffs, blame, statistics, and branch analysis using native git commands without requiring a GitHub API.

A read-only MCP server providing SQLite querying, port checking, and git diff summary tools for local development.

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 AI assistants to create and delete GitHub repositories with customizable settings through the Model Context Protocol, supporting both public and private repositories with secure token-based authentication.

Enables AI agents to safely read, search, and inspect a local git repository, including PR-style diffs and changed-file summaries. It also supports opt-in allowlisted test runs.

Enables Claude to create, manage, and clean up git worktrees automatically, including dependency installation and GitHub PR creation.

This MCP server lets an AI client manage GitHub repositories through the GitHub REST and GraphQL APIs, enabling repository CRUD, topic/label management, and file operations.

Enables coding agents to review GitHub pull requests with a panel of AI models through local or remote MCP endpoints.

Enables ChatGPT to inspect and edit local projects through a secure MCP interface, offering workspace management, file operations, git integration, and safe command execution.

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 to read GitHub issues and pull requests and to add comments only on allowlisted repositories, with every call recorded in an append-only redacted audit log.

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.