Retrieve detailed information about a specific job posting using its search ID. Access job description, requirements, and metadata.
MIT
482,695 tools. Updated 2026-08-27 21:38
"A search for information about hugging" matching MCP tools:
- Search saved knowledge to find specific information about files, fields, or concepts using a case-insensitive query.Apache 2.0
- Retrieve detailed information about a specific Search Engine Service cluster, including configuration and status, by providing its instance number.MIT
- Search Hugging Face Hub for models or datasets, with results linking to their arXiv papers.MIT
- Retrieve detailed information about Hugging Face datasets including description, features, splits, and statistics. Validate dataset accessibility before fetching comprehensive metadata.MIT
- Search Hugging Face papers by keyword to find relevant research. Optionally set a maximum number of results.MIT
Matching MCP Servers
- FlicenseAqualityCmaintenanceAn MCP server that provides information about Utkarsh, including bio, skills, work experience, and portfolio projects, accessible via local stdio or remote HTTP with OAuth.6
- FlicenseAqualityCmaintenanceAn 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.11
Matching MCP Connectors
Verified open AI artifact search, trust evidence, downloads, and agent workflows from Hugging Bay.
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- Retrieve curated daily research papers from Hugging Face to stay informed about academic developments and machine learning advancements.MIT
- Search for specific text within Hugging Face datasets to find relevant data entries for analysis or training.MIT
- Retrieve statistical insights from Hugging Face datasets to analyze data distribution, identify patterns, and assess dataset quality for machine learning projects.MIT
- Search Vega-Lite documentation to find information about charts, encodings, marks, and visualization specifications.MIT
- Find Hugging Face models by searching with queries, filtering by author or tags, and controlling result limits for machine learning projects.MIT
- Find and filter datasets on Hugging Face Hub using search terms, authors, or tags to access machine learning data resources.MIT
- Find and filter Hugging Face Spaces by search terms, authors, tags, or SDK to discover AI applications and demos.MIT
- Retrieve detailed information about a specific Hugging Face Space, including its configuration, files, and metadata, by providing the Space ID.MIT
- Retrieve detailed information about research papers using their arXiv ID to access metadata and content from Hugging Face Hub.MIT
- Retrieve detailed information about Hugging Face collections to understand their contents and structure.MIT
- Retrieve detailed information about a PDF search session using the session ID from a previous search operation.MIT
- Find Hugging Face collections by searching titles, descriptions, owners, or specific items to organize and access related AI resources.MIT
- Search and use Hugging Face models, datasets, and spaces through inference, information retrieval, and authentication operations.Mozilla Public 2.0
- Retrieve basic metadata from a Hugging Face Hub repository by specifying its ID, type, and optional revision.Apache 2.0