croissant-validation
Validates MLCommons Croissant dataset metadata (JSON-LD) for schema compliance, as a stateless MCP server.
README
🥐 croissant-validation
A stateless MCP server for validating MLCommons Croissant dataset metadata — built as a working demonstration of the MCP 2026-07-28 specification, the revision that made the Model Context Protocol stateless.
Live endpoint: https://croissant-validation.jetty.bot/mcp
Why this exists
The 2026-07-28 spec removed the initialize/notifications/initialized handshake and the Mcp-Session-Id header. Every request is now self-contained: protocol version and client capabilities travel in _meta, and servers advertise themselves via server/discover. That means an MCP server can run on plain serverless functions behind any load balancer — no sticky sessions, no shared session store.
This repo is exactly that: the MCP Python SDK v2 (mcp==2.0.0, released alongside the spec) serving Croissant validation from Vercel serverless functions. Validation is performed by the official mlcroissant library — the same checks as the MLCommons croissant-validator, previously hosted in the mlcbakery MCP server.
Tools
| Tool | Description |
|---|---|
validate_croissant |
Validate a Croissant JSON-LD document (object or JSON string) against the Croissant schema. Returns per-check results, blocking errors, and non-blocking warnings. |
validate_croissant_url |
Fetch metadata from a URL (e.g. a Hugging Face dataset's /croissant endpoint) and validate it. |
pdf_to_croissant |
Generate Croissant metadata from an academic paper: give it a PDF URL and a Jetty agent in an isolated sandbox reads the paper, extracts dataset metadata, writes croissant.json, and validates it — the MCP version of mlcroissant.jetty.bot. Runs take 2–5 minutes. |
croissant_run_status |
Poll a running pdf_to_croissant job. Done when status is completed and croissant.json is in files. |
croissant_run_result |
Fetch an output file from a completed run — croissant.json comes back parsed and re-validated by this server's own validator. |
The generation tools mirror the API flow of jettyio/pdf2croissant (upload → runbook launch → trajectory poll → file download) and vendor its runbook verbatim. They need a JETTY_API_TOKEN_PDF2CROISSANT environment variable; without it, the validation tools still work — validation is pure and stateless.
Connect
Claude Code:
claude mcp add --transport http croissant-validator https://croissant-validation.jetty.bot/mcp
Or any MCP client that speaks Streamable HTTP — clients on the 2025-era protocol still work; the SDK answers the legacy handshake alongside server/discover.
One raw stateless request
No handshake — a single POST does everything:
curl -sS https://croissant-validation.jetty.bot/mcp \
-H 'Content-Type: application/json' \
-H 'Accept: application/json, text/event-stream' \
-H 'MCP-Protocol-Version: 2026-07-28' \
-d '{
"jsonrpc": "2.0", "id": 1, "method": "tools/call",
"params": {
"name": "validate_croissant_url",
"arguments": {"url": "https://huggingface.co/api/datasets/mnist/croissant"},
"_meta": {
"io.modelcontextprotocol/protocolVersion": "2026-07-28",
"io.modelcontextprotocol/clientCapabilities": {}
}
}
}'
The params._meta envelope replaces the old initialize handshake — the protocol version and client capabilities ride along on every request instead of being negotiated up front. (The server rejects 2026-07-28 requests without it.)
Development
uv sync
uv run pytest -q # validation + stateless HTTP round-trip tests
uv run uvicorn croissant_mcp.server:app --reload # local server on :8000
Layout:
croissant_mcp/validation.py— mlcroissant-backed validation (JSON well-formedness → Croissant schema; warnings surfaced frommlcroissant's issue tracker)croissant_mcp/server.py—MCPServerdefinition, tools, landing page, and the stateless Streamable HTTP ASGI app (stateless_http=True, json_response=True)main.py— Vercel entrypoint (the Python backend builder serves the ASGI app on all routes)examples/— a valid Croissant file (Titanic, from the MLCommons repo) and an invalid variant (invalid-not-a-dataset.json, missing its@type)
Record-set generation checks (actually materializing data) are intentionally out of scope here — they can download arbitrarily large files, which doesn't belong in a serverless request. Schema validation is the static contract check.
Deploy
Deployed on Vercel (Python runtime, Fluid Compute). The one serverless-specific consideration: streamable_http_app() starts its session manager via ASGI lifespan, which Vercel now runs. In stateless mode there is no cross-request state, so cold starts and horizontal scaling are free.
Roadmap
- Wire into Jetty workflows as the validation step for an MCP-native version of PDF → Croissant.
License
MIT
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