Install, run and deploy your own decentralized AI agent service

Agent-driven research knowledge base. Agents collect, search, and synthesize web research into a persistent, searchable wiki.

MCP server that connects AI assistants to HackerOne for bug bounty hunting

MCP server for understanding AWS spend

Scala code intelligence for coding agents. Zero Build Server. Zero Compilation. Just answers.

Fast and Accurate Code Search for Agents. Uses 99% fewer tokens than grep+read

An MCP Multimodal AI Agent with eyes and ears!

Shunt Claude Code agents to any model — selective, per-agent inference-layer routing proxy

A memory layer for AI Agents

Your memories are in ChatGPT... But nowhere else. Universal Memory MCP makes your memories available to every single LLM. No logins or paywall. One command to set it up.

Connect AI models like Claude & GPT with robots using MCP and ROS.

Live data for AI agents — search, research, markets, crypto, X/Twitter. Pay-per-call via x402 micropayments.

Awesome Claude Desktop Extensions (dxt) (not only Claude) mcpb

Compounding Context for AI Coding Assistants — MCP graph engine for Claude Code, Cursor, Copilot, Gemini, OpenCode

Model Context Protocol Server for Mobile Automation and Scraping (iOS, Android, Emulators, Simulators and Real Devices)

Grounded Docs MCP Server: Open-Source Alternative to Context7, Nia, and Ref.Tools

A Plugin-Based Multi-Agent System for In-Editor Academic Writing, Review, and Editing

Composable computational-science methodology skills for AI research agents — pre-registration over TDD. A science-domain reimplementation of Superpowers.

Skills, prompts, and instructions for building AI agents on top of Dynatrace production context

A comprehensive Model Context Protocol (MCP) server providing advanced access to the ChEMBL chemical database.

LLM-maintained personal knowledge base for Obsidian. Based on Andrej Karpathy's LLM Wiki pattern.

An advanced sequential thinking process using a Multi-Agent System (MAS) built with the Agno framework and served via MCP.

Agent Skills for computational materials science -- numerical stability, solvers, meshing, convergence, and simulation workflows.

AI-powered reverse engineering assistant that bridges IDA Pro with language models through MCP.