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hugging-bay-mcp
Advanced tools
Model Context Protocol (stdio) server for Hugging Bay — the agent-friendly open AI catalog. Exposes public catalog search, hosted downloads, trust/provenance signals, mirror demand, answer packs, and agent discovery as MCP tools for Claude, Cursor, and ot
hugging-bay-mcp is a Model Context Protocol (MCP) server for Hugging Bay, a verified open-AI artifact registry. It exposes Hugging Bay's catalog search, per-artifact safety verdicts, download plans, GPU-fit checks, quantization and license-lineage data, manifests, and citation packs as MCP tools that any MCP client (Claude Desktop, Cursor, Cline, and others) can call. It is a thin stdio launcher that proxies to the live Hugging Bay API; the same tools are served over streamable HTTP at https://huggingbay.xyz/api/mcp.
Run on demand with npx (no install), or add to an MCP client config:
npx -y hugging-bay-mcp
Claude Desktop (~/Library/Application Support/Claude/claude_desktop_config.json), Cursor (~/.cursor/mcp.json or .cursor/mcp.json), and Cline all use the same shape:
{
"mcpServers": {
"hugging-bay": {
"command": "npx",
"args": ["-y", "hugging-bay-mcp"],
"env": {
"HUGGING_BAY_API": "https://huggingbay.xyz"
}
}
}
}
Prefer a remote endpoint over stdio? Point any streamable-HTTP MCP client at https://huggingbay.xyz/api/mcp. Public tools are read-only and need no token; set HUGGING_BAY_TOKEN (an hb_ bearer token) in env to enable authenticated watchlist and publisher tools.
| Tool | What it returns |
|---|---|
find_and_verify_model_for_task | Ranked, already-verified models for a task (composite report per candidate + a bestPick) in one call. |
plan_local_deployment | Quant selection + GPU fit + a hash-verified download plan + copy-paste run commands for one model. |
get_model_report | One-call model report: safe-to-run verdict + license + GPU fit + card-completeness score + base-model lineage. |
check_artifact_safety | Safe-to-run verdict (license clarity + scan state + hashes + signing) for a catalog artifact or any file SHA-256. |
will_it_fit | Per-GPU fit verdict + VRAM estimate + smaller-quant options for a given GPU id (e.g. rtx4090-24). |
get_quantizations | Per-quant precision/size and hosted availability, so you can pick the smallest quant that fits. |
find_ungated_alternatives | Ungated, commercially-usable alternatives to a gated or restricted model. |
get_model_bom | Signed AI Bill of Materials (CycloneDX-compatible): hashed files + license + base-model dependency chain + scan state. |
inspect_model_binary | Byte-level safetensors/GGUF header inspection compared against the declared model card (catches mislabeled sizes and custom-code architectures). |
diff_manifests | Structural diff between two artifacts' (or versions') signed file manifests — added/removed/changed files by hash. |
The full, always-current tool list (names, descriptions, input schemas) is published at https://huggingbay.xyz/.well-known/mcp.json and via tools/list on https://huggingbay.xyz/api/mcp.
Canonical, URL-anchored capabilities:
https://huggingbay.xyz/api/safety?sha256={hex} (or ?repo={owner/name}) for the evidence currently available. Hosted-file hashes and signed manifests are exposed when they exist; missing evidence remains explicit.https://huggingbay.xyz/api/v1/artifacts/{id}/report combines the safe-to-run verdict, license, GPU fit, card-completeness score, and base-model lineage in a single response, with links to every underlying detail.https://huggingbay.xyz/api/artifacts/{id}/license-lineage resolves a model's effective license from its upstream ancestry, flagging permissive top-level licenses whose lineage is non-commercial.tools/list or https://huggingbay.xyz/.well-known/mcp.json for the current tool contract instead of relying on a hard-coded tool count. Public tools require no credentials; authenticated watchlist and publisher tools require an appropriately scoped Hugging Bay bearer token./llms-full.txt, Chinese: /llms-zh.txt).md twin: /docs/agent-cookbook.md)MIT
FAQs
Model Context Protocol (stdio) server for Hugging Bay — the agent-friendly open AI catalog. Exposes public catalog search, hosted downloads, trust/provenance signals, mirror demand, answer packs, and agent discovery as MCP tools for Claude, Cursor, and ot
The npm package hugging-bay-mcp receives a total of 48 weekly downloads. As such, hugging-bay-mcp popularity was classified as not popular.
We found that hugging-bay-mcp demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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