PrismClip

AI-integrated video processing

Add PrismClip to an automated video workflow.

Connect through MCP or the REST API to request evidence-backed clip suggestions from owned, analyzed projects. PrismClip keeps project and job state durable while Studio provides visual curation, framing, captions, rendering, and review.

Read the integration guide →Open Studio
01

Use shared operations

REST and MCP expose matching operation names, validation, scopes, ownership rules, and normalized results.

02

Keep durable state

Project IDs, idempotency keys, and job IDs let a workflow resume after a process or network interruption.

03

Preserve review

People curate source boundaries, presentation, and publication through the normal PrismClip product workflow.

Current integration

Ingest a source, queue suggestions, and inspect the result.

The live API uploads local files and starts Google Drive or best-effort YouTube imports. Owned projects with completed visual analysis can queue automatic selection and return durable jobs through REST or equivalent MCP tools.

// MCP tools generated from the public operation registry
start_google_drive_import({
  url: "https://drive.google.com/file/d/FILE_ID/view"
})

get_remote_import({ job_id: "IMPORT_JOB_ID" })

list_projects({ limit: 20 })

auto_pick_clips({
  project_id: "PROJECT_ID",
  count: 6,
  idempotency_key: "campaign-clip-request-001"
})

get_auto_pick_job({ job_id: "JOB_ID" })

Source guidance

Choose a reliable ingestion path.

  1. 1
    Local file

    Direct upload is the most reliable choice when the original file is available.

  2. 2
    Google Drive

    Use an account-authorized Drive file for a durable remote source.

  3. 3
    YouTube

    Treat provider import as best-effort and surface access or availability failures to the user.

Build with the live contract.

Add the OAuth-connected MCP server, inspect the generated API reference, or create a scoped key for REST automation.

Add PrismClip through MCP →Browse the API