MCP server for GitHub Projects V2 - manage projects, items, fields, and views

MCP server for AI-powered GitHub project management — 21 tools (175 actions), agent swarm orchestration, GitHub Actions/Releases/Branches, MCP Resources & Prompts, PRD-to-issues pipeline

MCP server for GitHub Projects V2 API

MCP server for GitHub Projects V2 - Enable AI assistants to manage projects, items, fields, and views via the Model Context Protocol

A remote Model Context Protocol (MCP) server for managing GitHub Projects V2 through the GitHub GraphQL API. It uses MCP Streamable HTTP and OAuth 2.1 Authorization Code with PKCE.

MCP server for AI-powered GitHub project management — 20 tools, 169 actions, agent swarm orchestration, GitHub Actions/Releases/Branches, MCP Resources & Prompts, PRD-to-issues pipeline

Flexible Python-based GitHub Projects v2 orchestration toolkit for multi-agent workflows, enabling portable item CRUD automation, field management, and cross-project governance through environment-driven configuration.

Use GitHub Projects with AI agents through one PipMCP API key, actual hosted schemas and governed execution.

A Model Context Protocol (MCP) server implementation that provides GitHub Projects functionality through standardized tools and resources. This server enables LLM clients to manage GitHub Projects programmatically through the MCP interface.

Manage GitHub Projects V2 efficiently by interacting with the GitHub Projects API through a set of powerful tools. Perform project, item, task, field, and view management operations seamlessly from your language model or client. Enhance your workflow with tested, production-ready capabilities for project automation and organization.

This is a MCP server which scan your given repo url of github / local project folder and explains you how the codebase works, understand you the architecture of the project, what actually the project does, identify the key files.

A short-term planning system for engineering teams — keep engineers focused, run daily sprints, and track unplanned work. Built on GitHub Projects v2 (no database of its own): one Go binary with an embedded React UI, REST API, MCP server for AI agents, and live board updates over WebSocket.

Schedule a GitHub Projects backlog into Google Calendar, as a CLI or an MCP server.

Automate the backup of your Cloudflare projects to a GitHub repository. Ensure your projects are securely stored and easily retrievable with this seamless integration. Start safeguarding your Cloudflare data today with minimal setup required.

A generic, manifest-driven GitHub project-management MCP server that surveys a repository's issue and PR landscape for hot spots and trends.

An MCP-powered AI project explorer that exposes GitHub repositories as tools for AI assistants like Claude, Cursor, and ChatGPT.

MCP server that coordinates AI agents and humans on shared work: atomic task claims with TTLs, a data-driven state machine, an append-only event log, and GitHub Projects and Slack sync through outboxes. .NET 10 + Postgres.

AI-era PM operator skill: GitHub Projects V2 + Notion + Google Workspace orchestration for Claude Code / Cursor / Devin. 31 MCP tools + 9 shell scripts + 536 tests + 12-principle PM Operator Stance (v5.4.0, 200+ sources, MAST 2025 / CALM ICLR 2025 aligned).

GitHub Project Dashboard MCP Server - monitor repositories, PRs, issues and deployments for AI assistants

A remote Model Context Protocol server that lets any MCP client (Claude Desktop, Cursor, and others) plan a project from PinoyFreeCoder's curated catalogs. Describe what you want to build — for example, "Build me a SMS SaaS platform" — and it searches the GitHub Finds and Public APIs directories

MCP server for GitHub project management

A powerful Model Context Protocol (MCP) server that enables AI assistants to analyze and read GitHub repositories with ease. Perfect for code analysis, repository exploration, and understanding project structures.

AI-native task management for Claude Code and MCP-compatible agents. Automates project planning with GitHub integration.

Enable your AI assistants to manage GitHub repositories, track issues, and perform file operations seamlessly. Streamline your development workflow by automating GitHub tasks with this powerful MCP server. Enhance collaboration and efficiency in your projects with easy access to GitHub's capabilities.

MCP server, Web UI & CLI that helps you easily install GitHub projects — zero dependencies

Find GitHub projects that fit you, using what your coding agents already know about you.

GitHub CLI tools for AI coding agents, served over MCP. A read server and an opt-in write server for PRs, issues, CI runs, jobs, commits, search, labels, projects, releases, and repo files, plus hooks that redirect raw gh bash calls to the tools. Packaged for Claude Code, Codex, and pi.

MCP server for OpenProject Community Edition: projects, work packages, time tracking, meetings, wiki and more as preview-first tools for AI agents such as Claude Code, Codex and GitHub Copilot.

MCP server that lets Claude take a project from nothing to a published GitHub repo and npm/PyPI/crates.io package: preflight, login, scaffold, checks, publish, release.

CONTRI for AI coding agents: check if a GitHub issue is free to take, if a project is alive and if maintainers reply — before an agent starts work.

DocuMCP is an intelligent Model Context Protocol (MCP) server that revolutionizes documentation deployment for open-source projects. It provides deep repository analysis, intelligent static site generator recommendations, and automated GitHub Pages deployment workflows.

Causal project memory for coding agents: corrections first in every session, and a guard that blocks the edit that writes a withdrawn value back. 4 MCP tools, ~670 tokens. Claude Code · Codex · Cursor · GitHub Actions

MCP server (Model Context Protocol) that stores GitHub and GitLab tokens in an encrypted vault and retrieves them by org/group keyword, with per-project scoping. Self-hosted credential manager for AI agents.

Your stream of alpha: pulls from X, GitHub, Hugging Face, Substack, and papers, keeps only real signal with one hard judge, and turns it into project suggestions, tested agent skills, and an MCP server for your AI agents.

SFI security audit toolkit — audit any repo against Microsoft Secure Future Initiative (SFI) pillars. Zero Trust + NIST CSF 2.0 knowledge base, read-only scanner, MCP server, GitHub Copilot skill & CLI. Personal project; not affiliated with Microsoft.

Before you build it, check it exists. An MCP server and Agent Skill that search GitHub for projects that already cover your idea, read their code and give a verdict: reuse, adapt, use as a base or build.

Open-source AI research assistant for VS Code + GitHub Copilot. Connects to PubMed, OpenAlex, Semantic Scholar, Europe PMC, CrossRef, and Zotero via MCP servers. Custom agents guide systematic reviews, academic writing, data analysis, and project management — all ICMJE-compliant with full audit trails.

This project has been adopted by the Web3D Consortium. Development continues at https://github.com/Web3DConsortium/x3d_mcp

Finds the lines in your docs that a code change made wrong, and proves each one, with a fix you approve. Measured on changes planted in 30 real Python projects and on their real history. A command, a GitHub Action, and an MCP server; no AI unless you ask.

unbiased reads your GitHub once and serves your developer context — stack, projects, experience — to Claude, Cursor, and any MCP client over a single connection.

Publish Python/npm/Docker projects to GitHub, PyPI, npm and Docker Hub with generated CI — GUI + CLI.

Local cost analyzer for AI coding agents: see where tokens and AI Credits go in Claude Code, GitHub Copilot Chat, pi and mitmproxy sessions. Turn-by-turn cost, prompt caching explained, cost by repository and project, replay on another model, tool-call audit, MCP server with interactive views. Also a VS Code extension: AI Credits Analyzer.

MCP Server that exposes the live context of any NestJS project to AI agents (Cursor, Claude Desktop, GitHub Copilot).

MCP server exposing my GitHub projects, Medium articles, and work experience as tools for Claude Desktop, Claude Code, and AI agents.

A Model Context Protocol (MCP) server that provides pre-defined prompt templates for AI assistants, allowing them to generate comprehensive plans for TypeScript projects, API architectures, and GitHub workflows.

MCP server for the Audionaut multitrack audio editor - lets Claude and other agents edit .audium projects. Requires the Audionaut app (Mac App Store / GitHub Releases)

A desktop tool that turns GitHub repositories into evidence-based project reports and AI-readable indexes.

MCP server that lets Claude(or other ai) take a project from nothing to a published GitHub repo and npm/PyPI/crates.io package.

MCP Workspace Server: A secure Model Context Protocol server providing file, git, and GitHub tools for AI assistants within a sandboxed project directory.

Knit — second brain for any MCP-speaking AI coding agent (Claude Code, Cursor, Codex CLI, Cline, Continue, GitHub Copilot). Per-project memory, tier-routed workflow protocol, parallel team worktrees.

Veratum — universal AI engineering harness, skill & MCP runtime for Antigravity, Claude Code, Cursor, Windsurf, Cline, GitHub Copilot and OpenCode. Persistent project memory, blast-radius analysis, shadow checkpoints, compacted verification and a cryptogr

This project implements a weather data service using the Model Context Protocol (MCP), designed to be consumed by intelligent agents (e.g., LLM agents). It's built with Python, containerized with Docker, and deployed to Google Cloud Run with continuous deployment configured from GitHub.

MCP Android agent - This project provides an *MCP (Model Context Protocol)* server for automating Android devices using uiautomator2. It's designed to be easily plugged into AI agents like GitHub Copilot Chat, Claude, or Open Interpreter to control Android devices through natural language.

Scans your code and GitHub repositories to find the AWS re:Invent sessions that match your stack, books them safely with guardrails, and puts unofficial Boarding Passes on your phone. Independent community project, not affiliated with AWS.

RepoTunnel is a secure local AI workspace bridge that connects ChatGPT Web and MCP-compatible AI clients to approved local projects, files, terminals, Git, GitHub, browsers, editors, and desktop applications—so AI can inspect, edit, test, run, and manage real development work without constant copy-pasting.

Run a real AI coding CLI — Claude Code, Antigravity, or OpenAI Codex — inside the Unity Editor, on a live MCP bridge that lets it read your Console, errors and scene and drive the Editor directly. Plus session history, a project knowledge graph, scene-optimization audits, and GitHub backup.

Convert DWG/DXF drawings into reviewable GIS and QGIS delivery with source hashes and validation evidence. CAD2GIS 0.8.0 exposes 63 local MCP tools; four wrappers add 15 verified optional CAD tools for source-preserving 2D edits through an isolated MIT runtime. Supports Codex, Claude Code, Cursor and VS Code through repository plugins or stdio MCP configuration. Original code: Apache-2.0. Requires uv and a selected local project root; optional CAD runtime is installed separately. Demo cases remain CONDITIONAL; absolute surveying accuracy is not independently verified. 中文：把图纸转换为可以审查和交接的 GIS 成果，保留原图、记录修订，并将 CAD 编辑返回统一的 GIS 检查流程。安装与中英文 Wiki：https://mola-maker.github.io/CAD2GIS/wiki/

Create, style, and manage QR codes from any AI agent with [qr-cow](https://qr-cow.com), a free QR code studio. **What it does** - Create static or dynamic QR codes in 13 content types: URL, Wi-Fi, vCard, email, SMS, phone, event, location, crypto, and more - Render styled codes with custom colors, gradients, and logos - Change a dynamic code's destination after it is printed - Pull privacy-first scan analytics (salted-hash IPs, never raw addresses) - List, inspect, and delete saved codes **Setup** Requires a free qr-cow account. Create a personal access token at [qr-cow.com/dashboard/api](https://qr-cow.com/dashboard/api) and enter it when you connect. **Links** - Website: [qr-cow.com](https://qr-cow.com) - API and MCP docs: [qr-cow.com/docs](https://qr-cow.com/docs) - Pricing: [qr-cow.com/pricing](https://qr-cow.com/pricing) - Source: [github.com/qrcow/qr_cow_mcp](https://github.com/qrcow/qr_cow_mcp) - PyPI: [qr-cow-mcp](https://pypi.org/project/qr-cow-mcp/)

A text editor for LLMs, not humans. Take ed, the line editor that nobody has voluntarily used since about 1975, and rebuild it for an environment where the typing user is a language model. Short verbs, line addresses, no modes, no TUI. What an editor optimises for changes when the user is the model: round trips per task, tokens per command, an editing buffer with a long memory, and an undo tree that remembers the branches the agent abandoned, because that's often where the interesting work was. ## Features - **Fewer round trips.** Read-before-Edit is unnecessary; on conflict the response carries the new content so you reconcile in one call instead of pre-reading every time. - **Branching undo.** Walked-back work stays addressable instead of being thrown away when you pick a different path. - **Three-way merge.** Concurrent agents get a structured conflict response instead of a silent overwrite. - **Atomic batches.** Multi-file refactors run all-or-nothing instead of leaving half-applied state on failure. - **Cross-file moves and regex replace as primitives.** Operations the built-in tools can't express cleanly become single calls. - **Drift detection.** External edits to an open file are folded into the tree instead of being clobbered by the next write. - **Inline diagnostics.** Type errors and lint findings surface on save, not at the next build many edits later. - **Cross-session memory.** Per-file notes persist between sessions and surface inline on the next open. - **Audit log.** Every operation recorded with actor and timestamp, so two agents in one workspace can't argue about who moved the head. ## Multi-workspace (v0.4.0) One MCP server registration handles every project you mention. Tool calls route to the workspace owning the absolute path you pass; each project gets its own SQLite, its own undo tree, its own LSP daemon — lazily spawned on first touch. Desktop hosts (Claude Desktop, Codex Desktop, Cursor) install the server once globally and use it across projects without per-project config. ## Install `ae` must be installed locally; this MCP bundle registers `ae serve` as a stdio server. ```sh brew tap frane/tap && brew install agented # or curl -sSL https://raw.githubusercontent.com/frane/agented/master/install.sh | sh ``` Pure Go, single static binary, Apache 2.0. Source: https://github.com/frane/agented

Generate and edit images, remove backgrounds, upscale, and create reference-based sprite animations inside agent workflows. DreamLayer gives coding agents image tools through MCP, CLI and API. Generate visual assets, edit a supplied reference, remove backgrounds or upscale; use task workflows for logo and app-icon concepts, ecommerce imagery, print artwork, marketing variations and bounded photo batches. The sprite beta creates a downloadable animation ZIP from a reference image, with examples for Godot and Unity. Workflows check capabilities and balance, keep generation within an approved credit budget, recover existing jobs and download outputs into your project. **Setup:** this is a local stdio server (Node 22.12 or later). Configure it with a DreamLayer API key from platform.dreamlayer.io; `api.dreamlayer.io` is a REST endpoint, not a remote MCP URL. **Limits:** paid API credits; sprite generation is beta with frame-based pricing; standard operations currently cost one credit per image, but always read live capabilities. Logo concepts are raster with no vector output or trademark clearance. Print artwork needs resolution, alpha and print-spec review. Product details can drift during generative edits. No guarantee of rankings, installs, brand consistency or production-ready animation. Source and skills: https://github.com/TheDesignFounder/dreamlayer-agent-plugin · Runtime: https://github.com/TheDesignFounder/dreamlayer-mcp · Privacy: https://dreamlayer.io/privacy