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MCP Servers

Open-source AI browser agent for web automation: a web browsing agent and computer-use agent in plain English. Browser MCP for Claude Code and Gemini CLI.

A single agent thinks. A collective decides. We're building the swarm.

Evidence from your and sources (GitHub repos, PRs, npm). One toolset: ripgrep + AST search, trees, precise reads, and LSP — as a or , backed by a for fast, token-efficient results across single files...

MCP server and CLI tool for searching and downloading documents from Anna's Archive

Instead of relying on one-off scripts generated for a single question, analysts and AI agents can use tested analytical primitives and reusable workflows to inspect customer journeys, explore...

A collection of skills and MCP systems to enable users of CLI, VSCode, Claude to operate over Microsoft Fabric

Ultimate Context Engineering Infrastructure, starting from MCPs and Integrations

MCP server with runtime-level tools for Phoenix development

Fetch · crawl · bypass bot walls · read PDFs (even scanned) · search the web One MCP server · one warm browser · zero accounts · runs on your machine

Secure, audit, and govern every AI API call and MCP tool invocation across your organization — from a single control plane.

A flexible multi-interface AI agent framework that can interact through various platforms including Telegram, Discord, Twitter, Farcaster, REST API, and MCP.

Buoy is a floating dev menu that ships inside your React Native app — every request, state change, render, and frame, live on the phone, on your desktop, and in Claude or Cursor.
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.