Claude Desktop Install Guide
Desktop client with local MCP configuration support.
MCP Servers
MCP server for querying package ecosystem data from ecosyste.ms.
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MCP Server to make line-based edits to a file.
DepsHub MCP Server for Effortless Dependency Updates
MCP server for AI image generation and editing with automatic prompt optimization and quality presets. Supports Nano Banana (Gemini), OpenAI GPT Image, and BytePlus Seedream.
MCP server for Google search and page fetching using headless Chromium
The provides a comprehensive framework for AI-powered command execution, plugin-based tools, and advanced features including synchronous script execution, secure Python evaluation, and knowledge...
A takeoff is the act of measuring quantities off a construction drawing. OpenTakeoff does it two ways over one engine: for an agent, and a browser canvas for a person.
MCP server that gives AI assistants deep knowledge of EV charging protocols. Add it to Claude and ask anything about OCPP 1.6, OCPP 2.0.1, Plug & Charge, smart charging, and related standards.
basemind turns any repo into an always-current map of its code, documents, history, and memory — so agents answer from instead of burning their context window on grep and file reads — and gives a...
Pragmatic AI Labs MCP Agent Toolkit - An MCP Server designed to make code with agents more deterministic
MCP server for computer use & browser automation - screenshot, OCR, click, type, find_text, Chrome/Electron CDP, template matching. macOS, Windows & Android.
Agent Skills
🌐 Make websites accessible for AI agents. Automate tasks online with ease.
the runtime your coding agents live on
Small, composable skills for coding agents.
Think package.json, requirements.txt, or Cargo.toml — but for AI agent configuration.
The official Lark/Feishu CLI tool, maintained by the larksuite team — built for humans and AI Agents.
Personal dotfiles with modern shell tooling, optimized for Laravel/PHP development. Features fast startup times, smart directory navigation, and modern CLI tools.
Building AI agents, atomically
Режим идиоматического русского мата для AI-агентов. Короче, душевнее, эффективнее. 18+
Open-source, local-first desktop AI research workbench for scientific computing with Python/R, MCP bioinformatics tools, SSH/WSL/GPU runtimes, and OpenAI/Anthropic models.
Autonomous research system for measurable, computer-executable research.
LLM-compiled knowledge bases for any AI agent. Parallel multi-agent research, collector catalogs, automated session capture, feedback curation, thesis-driven investigation, source ingestion, wiki...
You don't write AGENTS.md. You train it with gradient descent.