Repos
MCP & Tooling Repos
20 repos in MCP & Tooling, each with ready-to-paste setup for your AI client. The most-starred are rea, ECC and n8n.
20 in this category · updated daily · last refresh
MCP & Tooling repos
20 results in MCP & Tooling
- MCP & Tooling405k
rea
Reverse engineer anything with agents, from app behavior down to native binaries.
TypeScriptMITmorluto/rea
- MCP & Tooling292k
ECC
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
JavaScriptMITaffaan-m/ECC
- MCP & Tooling209k
n8n
Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.
TypeScriptn8n-io/n8n
- MCP & Tooling160k
dify
Build Agentic workflows, RAG pipelines, with rich AI model and tool support on one collaborative workspace. Deploy on cloud, VPC, or self-hosted, so teams move from prototype to production without rebuilding the stack.
Pythonlanggenius/dify
- MCP & Tooling159k
JavaGuide
Java 面试 & 后端通用面试指南，覆盖计算机基础、数据库、分布式、高并发、系统设计与 AI 应用开发
JavaScriptApache-2.0Snailclimb/JavaGuide
- MCP & Tooling157k
open-webui
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
Pythonopen-webui/open-webui
- MCP & Tooling150k
cc-switch
A cross-platform desktop All-in-One assistant for Claude Code, Codex, OpenCode, OpenClaw, Grok Build & Hermes Agent. Only official website: ccswitch.io
RustMITfarion1231/cc-switch
- MCP & Tooling138k
graphify
Turn any codebase, with its docs, SQL schemas, configs, and PDFs, into a queryable knowledge graph. A /graphify skill for Claude Code, Cursor, Codex, and Gemini CLI: local deterministic AST parsing, every edge explained, no vector store.
PythonApache-2.0Graphify-Labs/graphify
- MCP & Tooling119k
browser-use
Open-source Python library for AI browser agents, plus Browser Use Cloud: stealth browsers and a hosted agent API.
PythonMITbrowser-use/browser-use
- MCP & Tooling108k
paperclip
The open-source app everyone uses to manage agents at work
TypeScriptMITpaperclipai/paperclip
- MCP & Tooling106k
Agent-Reach
Give your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu — one CLI, zero API fees.
PythonMITPanniantong/Agent-Reach
- MCP & Tooling97k
awesome-mcp-servers
A collection of MCP servers.
MITpunkpeye/awesome-mcp-servers
- MCP & Tooling90k
Scrapling
🕷️ The BEST Web Scraping framework that handles everything from a single request to a full-scale crawl! Don't be shy, join here: https://discord.gg/EMgGbDceNQ and follow here for daily tips and tricks: https://x.com/Scrapling_dev
PythonBSD-3-ClauseD4Vinci/Scrapling
- MCP & Tooling90k
worldmonitor
Real-time global intelligence dashboard. AI-powered news aggregation, geopolitical monitoring, and infrastructure tracking in a unified situational awareness interface
TypeScriptAGPL-3.0koala73/worldmonitor
- MCP & Tooling87k
crawl4ai
Open-source web crawler and scraper for LLMs and AI agents: any website into clean, LLM-ready Markdown. Run it yourself, or use Crawl4AI Cloud with one key. Join our Discord https://discord.gg/VuxzM8mtf
PythonApache-2.0unclecode/crawl4ai
- MCP & Tooling84k
lobehub
🤯 LobeHub is your Chief Agent Operator, organizing your agents into 7×24 operations by hiring, scheduling, and reporting on your entire AI team.
TypeScriptlobehub/lobehub
- MCP & Tooling82k
OmniRoute
Never stop coding. Free MIT AI gateway: one endpoint, 375 providers (150+ free), 1,400+ models Kimi, Claude, GPT, Gemini, GLM, DeepSeek, MiniMax. Works with Claude Code, Codex, Cursor, OpenCode, Cline & Copilot. Quota-aware auto-fallback,…
TypeScriptMITcheaper-inference/OmniRoute
- MCP & Tooling81k
netdata
The fastest path to AI-powered full stack observability, even for lean teams.
GoGPL-3.0netdata/netdata
- MCP & Tooling78k
awesome-claude-skills
A curated list of awesome Claude Skills, resources, and tools for customizing Claude AI workflows
PythonComposioHQ/awesome-claude-skills
- MCP & Tooling78k
headroom
Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 20% fewer tokens for coding agents, 60-95% fewer tokens for JSON, same answers. Library, proxy, MCP server.
PythonApache-2.0headroomlabs-ai/headroom