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744,783 tools. Updated 2026-11-05 00:10

"A server for finding information about Artificial Intelligence (AI)" matching MCP tools:

Matching MCP Servers

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    An MCP server that provides information about Utkarsh, including bio, skills, work experience, and portfolio projects, accessible via local stdio or remote HTTP with OAuth.
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    MIT
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    Provides access to real-time LLM pricing, speed metrics, and performance benchmarks for over 300 models from Artificial Analysis. It enables users to list, filter, and compare models based on costs, tokens per second, and intelligence indices.
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Matching MCP Connectors

  • About Bureau, the self-hosted office for AI agents: overview, FAQ search, roadmap, install.

  • Artificial Wit wraps your ERPs, CRMs, APIs and knowledge base into one MCP-ready AI layer. Claude, ChatGPT and Gemini connect through a single governed endpoint, with RAG-grounded answers and citations — no migration required.

  • Search saved knowledge to find specific information about files, fields, or concepts using a case-insensitive query.
    Apache 2.0
  • Retrieve details of Ritwik Joshi's TEDx talks on AI, including titles, events, dates, audience size, key ideas, and YouTube links. Use to access AI speaker talk information.
    MIT
  • Get a concise AI explanation for a DiffGate finding with a single LLM call, avoiding complex analysis loops.
    Apache 2.0
  • Search the web with AI-powered results for research, fact-checking, and finding current information. Returns structured data with titles, URLs, and snippets.
    MIT
  • Ask questions about content already in a NotebookLM notebook. Get AI answers grounded in your uploaded sources, without searching for new material.
    MIT
  • Retrieve detailed information about a specific AI agent session for debugging, performance tracking, and LLM usage analysis.
    MIT
  • Retrieve LLM models from Artificial Analysis with optional filters for creator, name, and slug, and sort by intelligence, price, speed, ttft, coding, or math.
    MIT
  • Retrieve detailed information about a GitHub repository, including AI-generated summary, highlights, and category, by providing the repo slug in owner/repo format.
    MIT
  • Ask questions about existing sources in a NotebookLM notebook to get grounded, citation-backed answers without searching for new information.
    MIT
  • Retrieve detailed information about a specific Product Hunt topic using its ID or slug, including name, description, follower count, and related posts.
    MIT
  • Retrieve recent AI/ML research papers from arXiv. Output includes title, authors, abstract, categories, and URL to track developments.
    MIT
  • Retrieve full details about an AI resource from SkillHub by its ID or exact name. Ideal for getting more information on a recommended resource.
    MIT