Cursor Install Guide
AI code editor frequently used with developer-focused MCP servers.
MCP Servers
MCP server that gives any LLM its own computer — managed Docker workspaces with live browser, terminal, code execution, document skills, and autonomous sub-agents.
Real reap --agent output, run against a generated sample stack ( hero-fixture.sh ) — not anyone's install. The numbers further down are measured on mine.
Open security engineering for code written by humans and AI agents. Discover. Repair. Verify.
Agent Browser eliminates the need to configure each MCP server in every client. Connect your clients once to Agent Browser, and it will manage all your Server-Sent Events (SSE) MCP servers for you.
MCP-based assistant for busy people who are context switching
Point Claude at any audio file and it can tell you the key, tempo, dynamics, timbre, percussive character, stereo field, structural sections, and how the music evolves over time -- all from raw audio...
Thunderbird MCP gives an AI agent real control of the Thunderbird already running on your machine — your mail, your folders, your contacts, your calendar, your filters, and your actual settings.
A self-modifying, self-verifying AI agent with persistent state. Reads its own source code. Plans changes. Tests them in a sandbox before applying.
makes it easy to deploy and serve Haystack Pipelines and Agents.
MCP server that scrapes public posts from X, LinkedIn and Hacker News in a local browser that is never signed in
(pronounced arc one [ɑːrk wʌn]) — Enterprise-ready MCP server for SAP ABAP systems. Secure by default, deployable to BTP or on-premise, and hardened with large unit/integration/E2E test coverage.
This repository contains a complete tutorial on how to create an MCP (Modular Computational Platform) client in Python using FastAPI.
Agent Skills
265 Rust rules your AI coding agent can use to write better code. Current for Rust 1.96 (2024 edition).
面向硬件产品的PCB方案设计 AI Agent。输入产品需求，输出可评审、可落地的PCB原理图的方案。
Code is cheap. Context, control, and evidence are not. Let the model move the work forward. Let the human own goals, boundaries, permissions, checkpoints, evidence, and acceptance.
Built from practice, not theory — calibrated against real deals including vLLM/Inferact ($150M @ $800M) and Hugging Face ($235M @ $4.5B).
Personal AI assistant built on agentsdk-go.
(maintained by the authors): - https://github.com/minicoohei/ai-agent-camp Running AI agents from this repo grants them shell, file-write, and external-API permissions on your machine.
An AI coding assistant skill for creating, compiling, reviewing, and polishing academic presentations.
Run any coding agent, on any OS, from desktop or phone . just terminals. no abstractions.
Portable operating instructions for AI agents controlling Android and iOS devices—locally or in the cloud.
Skills that translate your coding agent's output into plain language: honest reports, straight verdicts, steps you can follow. MIT.
skill infrastructure for multi-agent projects
Make AI coding agents remember your project between sessions.