Velrim
Document extraction against a JSON Schema with a calibrated confidence per field; async job status.
Connect it
Settings → Connectors → Add custom connector
URL: https://mcp.velrim.com/mcpSettings → Apps & Connectors → Advanced → Developer mode
Create connector with URL: https://mcp.velrim.com/mcp{
"mcpServers": {
"extract": {
"url": "https://mcp.velrim.com/mcp",
"headers": {
"Authorization": "<YOUR_AUTHORIZATION>"
}
}
}
}claude mcp add --transport http extract https://mcp.velrim.com/mcp --header "Authorization: <value>"{
"servers": {
"extract": {
"type": "http",
"url": "https://mcp.velrim.com/mcp",
"headers": {
"Authorization": "<YOUR_AUTHORIZATION>"
}
}
}
}2 tools, verified live
velrim_extractExtract structured data from a document (PDF or image, passed as document_base64 or as the upload_key of a staged upload) against a JSON Schema you supply. Returns a typed object and, for every field, a state (present, null, or missing), a calibrated confidence score, and an anchor (the source page and bounding box). The confidence is calibrated against published reliability curves (https://velrim
velrim_job_statusread-onlyPoll an asynchronous extraction job by its job_id (from POST /v1/jobs on the Velrim API; velrim_extract itself is synchronous and never creates jobs). Returns the job status and, once complete, the same typed result as velrim_extract: per field a state (present, null, or missing), a calibrated confidence score, and an anchor (source page and bounding box). Confidence is calibrated against publishe
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