Connect Hugging Face to Conduit
This walkthrough connects Hugging Face (developer tools) to Conduit.
Hugging Face is a hosted integration: Conduit forwards tool calls to
Hugging Face’s own hosted MCP server. The credential is an access
token (hf_...) — and unusually, it’s optional: you can connect
anonymously, but anonymous access is rate-limited and read-only, so a
token is recommended for real use.
Before you start
Section titled “Before you start”You need:
- A Conduit role that can manage connections — owner or admin on your organization.
- A Hugging Face account — only if you want authenticated access. To connect anonymously (rate-limited, read-only), you can skip straight to Step 2 and leave the token field blank.
Step 1 — Create an access token in Hugging Face (recommended)
Section titled “Step 1 — Create an access token in Hugging Face (recommended)”- Sign in to Hugging Face and open your token settings. Expected: the Access Tokens page.
- Create a new token. A read-scoped (or fine-grained read) token is enough for browsing models, datasets, and Spaces; grant more only if you want the AI acting on your account.
- Copy the token (
hf_...). Hugging Face shows the full value only at creation.
Step 2 — Connect Hugging Face in Conduit
Section titled “Step 2 — Connect Hugging Face in Conduit”- In Conduit, go to Connections (
/org/catalog). Expected: the vendor catalog. - Find Hugging Face in the catalog (under Developer Tools) and
click Connect. Expected: a credential form with a single field:
Access Token (optional — anonymous access is rate-limited &
read-only), placeholder
hf_.... - Paste the token from Step 1 — or leave the field blank to connect anonymously.
- Click Connect. Expected: Conduit opens a real session against Hugging Face’s hosted MCP server (with your token, if provided) and shows a green Connected status. A bad token is rejected here, not on the first tool call.
The credential is stored at the organization scope, so every technician in your org shares this Hugging Face connection — and shares its rate limits. (For per-technician tokens, connect at the personal scope instead — see Vendor connections.)
Verify it worked
Section titled “Verify it worked”Connect an MCP client to Conduit — Claude Desktop, Claude Code, Cursor, or
any MCP-compatible client (see Connecting an AI client)
— and ask it to run a read-only Hugging Face tool, such as searching for a
model or dataset. You should get real data back, and the call appears in
your audit log with the correct user, vendor (huggingface),
and a successful status.
Troubleshooting
Section titled “Troubleshooting”| Symptom | Likely cause |
|---|---|
| Connect fails with “Invalid Hugging Face access token.” | The token is wrong, was invalidated, or was copied incompletely. Create a fresh token at huggingface.co/settings/tokens and reconnect — or leave the field blank for anonymous access. |
| Connect fails with “Hugging Face MCP returned HTTP NNN” | Hugging Face’s MCP server responded with an unexpected status — often a transient outage. Retry after a few minutes. |
| Tool calls hit rate limits or write actions fail | The connection was made without a token — anonymous access is rate-limited and read-only. Reconnect with an access token. |
| Tool calls return 403 “no credentials for vendor” | Hugging Face isn’t connected at a scope this user can resolve. Connect it at the organization scope (even an anonymous connection counts), or confirm the user’s team has one. |
| Need to rotate the token | Create a new token at huggingface.co/settings/tokens, update the credential at /org/catalog, then invalidate the old token. |
Related
Section titled “Related”- Vendor connections — credential scopes, rotation, and the full vendor catalog.
- Security — how Conduit encrypts and resolves the credential you just stored.
- Hugging Face MCP — what the hosted server exposes.

