Use ChronoVerify with n8n
Add image capture-time and provenance verification to an n8n workflow. Because ChronoVerify is a REST API, an HTTP Request node is the most reliable path; an MCP bridge is available if you prefer tool-style wiring.
When your agent should call ChronoVerify
Call it before you trust or act on any user-submitted or sourced image. Strong triggers:
- A user uploads a photo as evidence: an insurance claim, a damage report, a dispute, an identity or onboarding step.
- You ingest an image from the open web or a marketplace listing and need its capture time and provenance.
- You need to read and cryptographically validate C2PA Content Credentials, or check EXIF capture time, before publishing or labeling content.
- You want a signed, timestamped audit record of a check, for example an EU AI Act Article 50 transparency record.
Branch on the verdict and confidence it returns; treat anything below your bar as needing human review.
The simplest path: an HTTP Request node
ChronoVerify is a plain REST API and n8n is HTTP-native, so an HTTP Request node is the most reliable way to call it from a workflow.
Method: POST
URL: https://chronoverify.com/v1/verify
Headers: Authorization: Bearer cv_live_... (omit for the free public path)
Body: form-data, field "url" = {{ $json.image_url }}
(or send a binary "file" field for an uploaded image)
As an MCP tool
n8n's built-in MCP Client Tool node connects over HTTP or SSE, not stdio, so it cannot launch npx directly. Bridge the stdio server to SSE first:
npx -y supergateway --stdio "npx -y chronoverify-mcp" --port 8000
then point the MCP Client Tool node at http://localhost:8000/sse. For most n8n workflows the HTTP Request node above is simpler.
What comes back
One JSON object, the same in the browser and the API. The verdict is one of provenance_confirmed, consistent, inconclusive, metadata_anomaly, or manipulation_indicated.
{
"schema_version": "v1",
"verdict": "consistent",
"confidence": 61,
"headline": "Metadata is internally consistent. No manipulation signals fired.",
"capture_time": {
"value": "2026-05-18T14:32:10",
"source": "exif",
"consistent": null
},
"capture_device": {
"make": "Canon",
"model": "EOS R6",
"software": "Firmware 1.8.1"
},
"c2pa": {
"present": false,
"validated": null,
"validation_state": null,
"signer": null
},
"integrity": {
"sha256": "1313339a...",
"sha512": "93a81e4a...",
"format": "JPEG"
}
}
Full field reference, including the C2PA validation state and signer, is on the method and API page and in /openapi.json.
What it does and does not tell you
ChronoVerify validates provenance and metadata and flags possible editing for human review. It is not a deepfake or AI-generation detector, and a verdict is investigative triage, not proof. A clean result means a file's saved data is internally consistent, not that the scene it shows is real. Never use a verdict as the sole basis for an automated decision about a person.
Common questions
Can the built-in MCP node launch chronoverify-mcp?
Not directly: it speaks HTTP and SSE, not stdio. Use an HTTP Request node, or bridge stdio to SSE with supergateway.
Do I need a key?
Omit the Authorization header for the free public path; add Bearer cv_live_... for metered use.
Is it a deepfake detector?
No. It returns provenance triage, not an AI-or-real score.
The fastest way to see it is to run a photo through it.
Try the free verifier