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[ARTICLE · art-61275] src=discuss.huggingface.co ↗ pub= topic=ai-tools verified=true sentiment=↓ negative

ZeroGPU connection issue via MCP

Users report a connection issue between Anthropic's Claude AI and Hugging Face's ZeroGPU service via the MCP protocol, with errors including 'Anthropic proxy: MCP server connection lost' and 'Model not loaded'. The problem may stem from the Anthropic connector or Hugging Face infrastructure, but no official root cause has been confirmed.

read2 min views2 publishedJul 15, 2026

It looks like similar issues have been reported:

Yes, there are recent public reports that are close to this—particularly on the Anthropic MCP connector side. However, I could not find a public incident report or maintainer confirmation showing that this exact combination is one confirmed ZeroGPU outage.

The closest match I found is the still-open Anthropic issue anthropics/claude-ai-mcp#469. It includes the exact error: Anthropic proxy: MCP server connection lost

The reporter compared Claude.ai with MCP Inspector against the same MCP endpoint and token. According to that report, Inspector received valid responses while the Claude.ai connector sometimes failed, terminated the session, or replaced the server’s useful error with a generic message.

That makes the Anthropic connector/proxy/session path a credible possibility here. However, #469 is a user-filed bug report, not an Anthropic root-cause analysis, and it does not prove that your ZeroGPU call has the same cause.

I would also treat these as two separate symptoms until logs show that they are connected:

Anthropic proxy: MCP server connection lost

points toward the MCP client, connector, proxy, transport, session, or response-forwarding path.Model not loaded

may be generated by the target Space itself. It is not a uniquely identifiable ZeroGPU platform error. For example, Model not loaded.

when its pipeline object is None

That example does not mean your Space has the same problem; it only shows that the wording alone does not identify which platform layer produced it.

The fastest practical split would be to run the same input, close together in time, through:

Result More likely area
HF UI and direct API also fail Target Space, model initialization, ZeroGPU allocation, or another HF-side path
Inspector/direct API work, but Claude fails Anthropic connector, proxy, session, or Claude-surface-specific behavior
Tool discovery works, but execution disconnects after waiting GPU queue, cold start/model , long-request timeout, or session loss during execution
Explicit authenticated API gets Pro priority, while MCP behaves anonymously HF token/account identity propagation through the MCP path
Only one Space or model fails Space/model-specific issue becomes more likely
Multiple unrelated Spaces fail in several clients during the same UTC window Shared HF infrastructure becomes more plausible

The most useful missing details would be:

request_id

, ofid

, or Space log correlation ID.The actual HF token should not be posted.

Why the visible error alone is not enoughOne caution about retries: a single timestamped retry can help identify an intermittent issue, and #469 reports that retries sometimes succeed. Repeated blind retries are not a reliable fix, though. They may consume ZeroGPU quota or duplicate a side-effecting tool operation.

My current read is therefore:

Anthropic proxy: MCP server connection lost

and Model not loaded

should remain separate until logs connect them.With the Space URL, Claude surface, failure stage, UTC timestamp, and a redacted request ID, this should become much easier for HF staff, Anthropic, or another user to classify without guessing.

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