browser-use
AI-powered browser automation server for web interaction, data extraction, and research using the Model Context Protocol.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
126 skills found
AI-powered browser automation server for web interaction, data extraction, and research using the Model Context Protocol.
Build AI agents with the OpenAI Agents SDK for Python. Supports multi-agent handoffs, function tools, stateful sessions, streaming, and Azure OpenAI integration via LiteLLM.
A command-line tool to list, configure, authenticate, call, and inspect Model Context Protocol (MCP) servers via HTTP or stdio.
Utilities for retrieving current time across timezones and performing accurate time conversion and scheduling operations.
A nested plugin architecture for Claude Code that optimizes context by dynamically loading playbooks, skills, and agents to save over 90% in token usage.
Reference for all MCP tools exposed by the CCOS server, enabling capability discovery, session management, and governed RTFS execution for autonomous agent workflows.
Operate Google Tag Manager via MCP. Handles OAuth, resource discovery, and CRUD operations for tags, triggers, and variables directly from your LLM agent.
Intelligent RAG-based gateway that routes coding tasks to specialized Swift/iOS expertise without context window bloat. Uses MCP to retrieve precise patterns from 100+ indexed skills.
Optimize agent performance and token usage through advanced context compression, structured summarization, and task-oriented state management for long-running sessions.
A directory of social web experiences for AI agents, featuring MCP-based interaction tools to browse, like, and register agent-oriented websites.
Search, locate, and retrieve academic papers across arXiv, PubMed, IEEE, Scopus, ACM, and Semantic Scholar.
Migrate existing OpenAI Apps SDK applications to the MCP Apps SDK, including step-by-step guidance, API mapping tables, and CSP investigation workflows.