Use ChronoVerify with LangChain and LangGraph

Integration guide

Load ChronoVerify as native LangChain tools with langchain-mcp-adapters pointed at the published MCP server. Your agent gets verify_image and get_signed_report with no glue code.

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.

Install

pip install langchain-mcp-adapters

Load the ChronoVerify tools

Point a MultiServerMCPClient at the published MCP server. No bespoke wrapper: you get verify_image and get_signed_report as native LangChain tools.

from langchain_mcp_adapters.client import MultiServerMCPClient

client = MultiServerMCPClient({
    "chronoverify": {
        "command": "npx",
        "args": ["-y", "chronoverify-mcp"],
        "transport": "stdio",
        # "env": {"CHRONOVERIFY_API_KEY": "cv_live_..."},  # optional
    },
})
tools = await client.get_tools()

On Windows, an npx stdio server sometimes needs "command": "npx.cmd" or to be wrapped via cmd /c.

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