review-gate-mcp
An MCP server that extracts fields from documents and holds uncertain extractions for human review, ensuring high confidence data flows automatically while uncertain cases are resolved manually.
README
review-gate-mcp
An MCP server that asks a human when it isn't sure.
Most extraction demos guess. This one implements the pattern that makes automation safe to run on documents that matter: fields extracted with high confidence flow through; anything uncertain is held in a review queue for a person to resolve - never silently guessed into your systems.
document ──▶ extract_with_gate ──▶ confident fields ──▶ your system
│
└──▶ uncertain fields ──▶ review_queue ──▶ a human ──▶ resolve_review
Tools
| tool | what it does |
|---|---|
extract_with_gate |
extract invoice_number, total_amount, date, email, vendor_name from text; confidence below 0.85 goes to the queue instead of the output |
review_queue |
list items waiting for a human decision |
resolve_review |
a human supplies the verified value, closing the loop |
Run it
npm install
npm test # end-to-end over real MCP stdio: extract -> hold -> human resolve
Add to Claude Code / Claude Desktop / Cursor (any MCP client):
{
"mcpServers": {
"review-gate": { "command": "node", "args": ["/path/to/review-gate-mcp/server.js"] }
}
}
Then ask your agent to extract fields from a pasted document and watch what it does with the smudged one.
The point
The extractors here are deliberately transparent heuristics - swap in a model-backed extractor and the gate stays identical. The pattern is the product: a system that escalates its hard cases beats one that guesses them. This is the standard RavnLab builds automation to; the evaluation side of the same idea lives in ravnlab-eval-harness.
MIT. Built by RavnLab.
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