MCP Server Framework and Tool Development library for building custom capabilities into agents.

🌐Web Agent Protocol (WAP) - Record and replay user interactions in the browser with MCP support

Deterministic safety solutions for probabilistic AI agents

PhD Research Skills for Claude Code: paper reproduction, experiment design, paper review, result comparison and more.

CLI for Hookdeck: forward webhooks to localhost (ngrok alternative), manage and query Event Gateway resources (sources, connections, destinations, events), run the MCP server for AI agents. Free for dev.

Run Claude Code dynamic workflows on a local Codex (GPT) backend, plus an interactive run viewer

An MCP Server for Chrome DevTools, following the Chrome DevTools Protocol. Integrates with Claude Desktop and Claude Code.

PC Engine / TurboGrafx-16 / SuperGrafx / PCE CD-ROM² emulator, debugger, and embedded MCP server for macOS, Windows, Linux, BSD and RetroArch.

Claude in Chrome, reverse-engineered and open-source. No domain blocklist. Any Chromium browser. Same 18 MCP tools, same performance.

Swarm orchestration for claude code agents with a local brain that steers based on your preferences

🏗️ Claude Code Plugin for smart blueprint-driven development

Diagnose and Fix CUDA / GPU environments compatibility issues locally, in Docker, and CI/CD. CLI + MCP server available.

The Model Context Protocol (MCP) is an open-source implementation that bridges Jenkins with AI language models following Anthropic's MCP specification. This project enables secure, contextual AI interactions with Jenkins tools while maintaining data privacy and security.

A Model Context Protocol (MCP) client library and debugging toolkit in Rust. This foundation provides both a production-ready SDK for building MCP integrations and the core architecture for an interactive debugger.

Goal-based planning and proof gate for AI coding agents

Save 40%+ on agent token costs with code graphs: call graphs, dependency graphs, dead code detection, and blast radius analysis.

Graph-based long-term memory skill for AI (LLM) coding agents — faster context, fewer tokens, safer refactors

Multi-agent codebase review for PRs, CI, and downstream fork syncs.

Give your AI agent eyes and hands on any desktop — cross-platform accessibility API with MCP server

Tamper-evident integrity monitor for the MCP config & server files your local AI agents load.

Mission control for Claude Code: run many sessions in parallel with multi-account isolation, transcript viewer, cost tracking, and memory dashboards. Windows + macOS (Apple Silicon).

🥷 A code-first, strongly-typed build automation system for Deno.

Type `ralph "prompt"` to start open code in a ralph loop. Also supports a prompt file & status check. Open Code, Claude Code, Codex, Copilot

Add expert Swift Concurrency guidance to your AI coding tool (Agent Skills open format): safe concurrency, performance optimization, and Swift 6 migration.