Cradl AI
Cradl AI is an API-first platform for building and operating AI-powered document extraction workflows.
Integration
- Vendor
- Cradl AI
- Category
- docs
- Auth
- OAUTH2
- Tools
- 11
- Composio slug
cradl_ai
Tools
- Download File
Download document, OCR, annotation, prediction, or run-variable content from a Cradl AI file URL returned by another Cradl AI tool.
- Get Agent Run
Get the current state and outputs of one Cradl AI agent run. Poll this read-only tool until the run reaches a terminal status; it does not itself consume page quota.
- Get Document
Get metadata, processing links, and annotations for one Cradl AI document by ID. This read does not consume page quota.
- Get Prediction
Get one extracted prediction, including its status, fields, errors, and downloadable output references. This read does not consume page quota.
- List Agent Runs
List processing runs for an agent, optionally filtered by status or creation/update time. Use this to discover recent extraction jobs and their run IDs.
- List Agents
List document-processing agents available to the connected Cradl AI workspace. Use an agent ID from this result to start an extraction run.
- List Documents
List documents in the connected Cradl AI workspace and discover document IDs and content/output file URLs.
- List Predictions
List extracted predictions, optionally filtered by model, and discover prediction IDs and output file URLs.
- Process Document
Create a persistent Cradl agent run and document, then upload one document for asynchronous extraction in a single call. This consumes processed-page quota. It returns immediately after upload and does not poll extraction; use the composite
- Start Agent Run
Create a processing run for an existing Cradl AI agent. This creates persistent run state; attaching and processing document content against the run consumes the workspace's monthly processed-page quota.
- Upload Document to Run
Create a document attached to a Cradl AI agent run and upload its PDF, image, or email bytes. The upload starts asynchronous processing and consumes the workspace's monthly processed-page quota.
Setup
- Create or open a Switchy Project.
- Open Integrations and connect Cradl AI.
- Authorise through oauth2. Switchy stores the connection against your org.
- Everyone in the Project can now @-mention the Cradl AI tools in chat.
What teammates see: by default, memories from Cradl AI are scoped to the Project (PROJECT visibility) - you can mark any memory PRIVATE or share it ORG-wide.
Works well with
Top models
Compatibility data appears once enough Projects have used this MCP together with a given model.