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650,411 tools. Updated 2026-10-13 05:26

"A search for information about hugging" 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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    An MCP (Model Context Protocol) server that gives AI agents live, structured ad intelligence across Facebook, Google, and Instagram — data that no base model can produce from training alone. Powered by Apify actors. Works with any MCP-compatible client: Cursor, Claude, etc.
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Matching MCP Connectors

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

  • Verified open AI artifact search, trust evidence, downloads, and agent workflows from Hugging Bay.

  • Retrieve detailed flight information including segments, pricing, and baggage details for a specific flight option from search results.
    Python
    GPL 3.0
  • Retrieve detailed information for a specific flight option, including segments, pricing, and baggage details, from your search results.
    GPL 3.0
  • Describe your training data needs in plain English to search Hugging Face datasets and GitHub repos, returning deduplicated results without API keys.
    Apache 2.0
  • Retrieve information about a specific site property in Google Search Console. Provide the site URL or domain to get details on that property.
    MIT
  • Search Hugging Face for model repositories, retrieving revisions and card metadata to support reproducible research workflows.
    Apache 2.0
  • Fetch detailed information about a specific Hugging Face model by providing its model ID. Use it to inspect metadata and understand model details before use.
    MIT
  • Search the web to retrieve up-to-date information on any topic, including news, blogs, companies, and events.
    ISC
  • Retrieve statistical insights from Hugging Face datasets to analyze data distribution, identify patterns, and assess dataset quality for machine learning projects.
    MIT
  • Find Hugging Face models by searching with queries, filtering by author or tags, and controlling result limits for machine learning projects.
    MIT