MCP Servers

Automate Browseai tasks via Rube MCP (Composio). Always search tools first for current schemas.

Neural search via Exa MCP for web, code, and company research. Use when the user needs web search, code examples, company intel, people lookup, or AI-powered deep research with Exa's neural search engine.

Full Microsoft 365 integration via Model Context Protocol (MCP).

Automate Ip2whois tasks via Rube MCP (Composio). Always search tools first for current schemas.

No description provided.

Fetch and summarize Ultrahuman Ring/CGM metrics inside OpenClaw using the Ultrahuman MCP server (via mcporter). Use when the user asks about Ultrahuman data such as sleep score, total sleep, sleep stages, HR/HRV/RHR, steps, recovery index, movement index, VO2 max, or wants a daily/weekly Ultrahuman summary.

Aggregated API platform for AI agents. Access Twitter, blockchain, AI services and 50+ third-party APIs through MCP.

Use when the user asks how to build with OpenAI products or APIs and needs up-to-date official documentation with citations (for example: Codex, Responses API, Chat Completions, Apps SDK, Agents SDK, Realtime, model capabilities or limits); prioritize OpenAI docs MCP tools and restrict any fallback browsing to official OpenAI domains.

Use Hugging Face Hub via MCP server tools. Search models, datasets, Spaces, papers. Get repo details, fetch documentation, run compute jobs, and use Gradio Spaces as AI tools. Available when connected to the HF MCP server.

Expert guide for the NotebookLM CLI (`nlm`) and MCP server - interfaces for Google NotebookLM. Use this skill when users want to interact with NotebookLM programmatically, including: creating/managing notebooks, adding sources (URLs, YouTube, text, Google Drive), generating content (podcasts, reports, quizzes, flashcards, mind maps, slides, infographics, videos, data tables), conducting research, chatting with sources, or automating NotebookLM workflows. Triggers on mentions of "nlm", "notebooklm", "notebook lm", "podcast generation", "audio overview", or any NotebookLM-related automation task.

Centralized discovery and quality scoring for the exploding MCP (Model Context Protocol) ecosystem.

Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).