pulsemcp scanned Safe content atomic mcp-remote

Hugging Face Hub Search

This MCP server provides AI-powered semantic search capabilities for Hugging Face models and datasets, built by Daniel van Strien from Hugging Face using a custom search API hosted on Hugging Face Spaces. It offers tools for semantic similarity search that goes beyond keyword matching to find models and datasets based on natural language descriptions, similarity-based discovery to find related resources, trending content retrieval with filtering options, and detailed metadata extraction including safetensors parsing for model architecture analysis and README card downloads. The implementation uses vector embeddings for intelligent search rather than simple text matching, supports parameter count filtering for models, and provides comprehensive filtering options by likes, downloads, and other metrics, making it valuable for researchers and developers who need to discover relevant ML resources through natural language queries or find alternatives to existing models and datasets.

Cognium trust score

64%

Tier

Scanned

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-02.

Scan details: Circle-IR · 2026-09-02 · Appeal

View full trust & usage report →

Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: ai-ml
Source: PulseMCP
Repository: github.com/davanstrien/hub-semantic-search-mcp
Author type: human
Last scanned: 2026-09-02
Updated: 2026-09-02

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MCP

Resolve Hugging Face Hub Search from your agent

Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.

One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.

claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp

Swap --scope user for --scope project to commit it to .mcp.json.

Your client Same endpoint everywhere; only the config key differs. The full list is in the descriptor.

Claude Desktop · Settings → Connectors → Add custom connector

https://api.skillsregistry.net/mcp

Paste the URL as the connector endpoint. No authentication.

ChatGPT · Settings → Connectors → Create (developer mode) → MCP server URL

https://api.skillsregistry.net/mcp

Authentication: none. Works in chat and deep research — the server exposes the connector search and fetch tools.

Codex CLI · ~/.codex/config.toml

[mcp_servers.skillsregistry]
url = "https://api.skillsregistry.net/mcp"