Velrim Extract

Document extraction against a JSON Schema with a calibrated confidence per field.

CommunityDegradedAPI key requiredGlobalFreeRead-only

What it can do

  • Velrim Extract: Extract 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,
  • Velrim Job Status: Poll 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, on

What data it sees

Do you need an account

An API key from the service settings is required

Document extraction against a JSON Schema with a calibrated confidence per field.

How to connect

How to connect Velrim Extract to Claude

The server address to paste into Claude settings:

https://extract--velrim.run.tools

  1. Open Claude (claude.ai or the desktop app).
  2. Go to Settings → Connectors.
  3. Click Add custom connector.
  4. Paste the server address copied below into Remote MCP server URL and click Add.
  5. In a chat, click + → Connectors and switch the new connector on.

Custom connectors are available on Free, Pro, Max, Team and Enterprise plans (Free is limited to one). On Team and Enterprise an organization Owner adds the connector first under Organization settings → Connectors.

Authorization

After you click Add, a sign-in window for the service opens. Sign in with your own account and approve access. Claude never sees your password.

How to connect Velrim Extract to ChatGPT

The server address to paste into ChatGPT settings:

https://extract--velrim.run.tools

  1. Open ChatGPT in a browser (chatgpt.com). A Plus, Pro, Business, Enterprise or Edu plan is required.
  2. Turn on developer mode once: Settings → Apps → Advanced settings → Developer mode.
  3. Open Settings → Connectors and click Create.
  4. Fill in the form: Name (anything), Description (one line about what the service does), MCP server URL (copy it below).
  5. Under Authentication choose OAuth if the service requires sign-in, otherwise None. Click Create.
  6. In a new chat open + → Apps/Connectors and enable the connector.

OpenAI has renamed this section before (Connectors → Apps/Plugins). If the label differs, search settings for "developer mode". On Business/Enterprise workspaces an admin must allow custom connectors first.

Authorization

On first use ChatGPT opens the service's sign-in window. Sign in and approve access.

How to connect Velrim Extract to Cursor

The server address to paste into Cursor settings:

https://extract--velrim.run.tools

Fastest: click Open in Cursor below and confirm the prompt.

Manually:

  1. In Cursor open Settings → Cursor Settings → MCP and click Add new global MCP server.
  2. Paste the JSON copied below into ~/.cursor/mcp.json (per project: .cursor/mcp.json in the repo root).
  3. Save the file. The server appears in the MCP list; authorize it there if asked.

Authorization

If the service needs sign-in, an authorize button appears next to the server in the MCP list.

Server tool list (2)

Raw names from tools/list. Only developers need these.

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.com/reliability), so a 0.9 means the field is right about 90% of the time on that document class — branch on it directly: act on a field at or above your accept threshold, escalate the fields below it and any that are missing. Use each field's anchor to check it against the source page.
velrim_job_statusPoll 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 published reliability curves (https://velrim.com/reliability) — branch the same way: act on a field at or above your accept threshold, escalate the rest, and use each anchor to check a field against its source page.