LSP plugins for Claude Code — Bash/Shell, C/C++/Objective-C, C#, Clojure, Dart/Flutter, Elixir, Gleam, Go, Java, Kotlin, Lua, Nix, OCaml, PHP, Python, Ruby, Rust, Swift, Terraform, TypeScript/JavaScript, YAML & Zig
Monitor browser logs directly from Cursor and other MCP compatible IDEs.
A structural code search engine for Al agents.
OrcaSlicer MCP — drive OrcaSlicer from Claude or any MCP client: load models, tune settings, slice, analyze
From text & real sources to maintainable .drawio architecture models: Diagram IR with source-kind profiles, incremental sync preserving manual layout, multi-view projection, architecture-as-test with a CI action, query/review, what-if, accessible Story Mode, and a built-in MCP server
Shell and coding agent on mcp clients
Share the same project justfile tasks with your AI Coding Agent.
An LLM-powered, autonomous coding assistant. Also offers an MCP and ACP mode.
TypeScript-first framework for the Model Context Protocol (MCP). You write clean, typed code; FrontMCP handles the protocol, transport, DI, session/auth, and execution flow.
A modular external attack surface mapping tool integrating tools for automated reconnaissance and bug bounty workflows.
Trigger.dev – build and deploy fully‑managed AI agents and workflows
Research that compiles.
The graph based agentic IDE
Copy/paste detector for source code. 220+ languages, Rust engine, SARIF/HTML/badge reporters, GitHub Action, MCP server for AI agents.
A security scanner for your LLM agentic workflows
The MATLAB Agentic Toolkit brings trusted MATLAB capabilities to AI agents, making engineering and scientific workflows agent-ready.
Rails Engine with MCP compliant Spec.
A system monitoring tool that exposes system metrics via the Model Context Protocol (MCP). This tool allows LLMs to retrieve real-time system information through an MCP-compatible interface.
Durable MCP control plane for long-running Codex Desktop tasks
Define task-specific AI sub-agents in Markdown for any MCP-compatible tool.
Give your AI assistant eyes and hands in the Godot editor: scene editing, input injection, deterministic playtesting, and live game state for agents
🌐Web Agent Protocol (WAP) - Record and replay user interactions in the browser with MCP support
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.
Node-based terminal manager for AI coding agents — tmux-backed terminals and parallel agent sessions as draggable nodes on an infinite pan/zoom canvas. macOS, Linux, and a browser Server Edition.