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MCP Integrations Automatic Data Extraction
MCP & AI Agent Integration

Automatic Data Extraction
automation.

10 AI agent actions for Automatic Data Extraction — callable from any MCP-compatible runtime, Claude, Cursor, or Cerebral OS workflow. Use Automatic Data Extraction to organize files, generate documents, and manage permissions programmatically. Full governance, audit trail, and dry-run safety on every execution.

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No credit card required
Live in production environments
<200ms median execution
Dry-run before production
Execution trace
live
10
actions
100%
governed
<200ms
latency
10
AI agent actions
5
Read operations
5
Write operations
1
High-risk actions (approval gated)
Files & Documents Automatic Data Extraction is a Files & Documents integration — use it to automate file storage, sharing, and document management from any AI agent or MCP-compatible runtime.
Actions

What you can do
with Automatic Data Extraction.

Every action below is available as an MCP tool and a verb in Cerebral OS — callable from any AI agent, Claude, Cursor, Windsurf, or your own runtime via the BYOA API. All executions are governed, audited, and dry-run safe.

Get Account Usage
automatic_data_extraction:get_account_usage
Get account usage statistics and billing information.
Read Low risk
Get Extraction
automatic_data_extraction:get_extraction
Get the results of a specific extraction job by ID.
Read Low risk
Get Template
automatic_data_extraction:get_template
Get details of a specific extraction template by ID.
Read Low risk
List Extractions
automatic_data_extraction:list_extractions
List extraction jobs with optional filtering and pagination.
Read Low risk
List Templates
automatic_data_extraction:list_templates
List extraction templates with optional filtering and search.
Read Low risk
Create Template
automatic_data_extraction:create_template
Create a reusable extraction template for consistent data extraction.
Write Medium risk
Delete Template
automatic_data_extraction:delete_template
Permanently delete an extraction template. This action cannot be undone.
Write High risk
Extract Document
automatic_data_extraction:extract_document
Extract structured data from a document using AI-powered extraction.
Write Medium risk
Extract With Template
automatic_data_extraction:extract_with_template
Extract data from a document using a predefined template for consistent results.
Write Medium risk
Update Template
automatic_data_extraction:update_template
Update an existing extraction template's configuration.
Write Medium risk
MCP & Runtime API

Call Automatic Data Extraction
from any AI agent.

Any AI agent — Claude, Cursor, LangChain, AutoGen, or your own — can call Automatic Data Extraction actions through the Cerebral OS Runtime API. Governance, credentials, and audit trail fire automatically.

automatic_data_extraction:get_account_usage READ
# Call via Runtime API
curl
-X POST \
  "https://api.cerebralos.com/v1/runtime/actions/run"
  -H "X-API-Key: YOUR_KEY" \
  -d '{
    "verb": "automatic_data_extraction:get_account_usage",
    "args": {},
    "execution_id": "agent-001"
  }'
automatic_data_extraction:create_template WRITE
# Dry-run first — no production risk
curl
-X POST \
  "https://api.cerebralos.com/v1/runtime/actions/run"
  -H "X-API-Key: YOUR_KEY" \
  -d '{
    "verb": "automatic_data_extraction:create_template",
    "args": {},
    "execution_id": "agent-001",
    "metadata": {"dryRun": true}
  }'
Get your Runtime API key at app.cerebralos.com/signup — 1,000 free executions, no credit card required.
AI agent examples

What your AI agent
can do with Automatic Data Extraction.

Real patterns your AI agent can execute via MCP or the Runtime API. Every action governed, dry-run safe, and fully audited.

Trigger
AI agent needs Automatic Data Extraction data
Call automatic_data_extraction:get_account_usage via MCP or Runtime API
AI processes result and takes next action
Full execution logged to audit trail automatically
Trigger
Workflow needs to write to Automatic Data Extraction
Dry-run validates automatic_data_extraction:create_template before execution
Approval gate fires if risk level is high
Action executes with full governance — logged, audited, reversible
Trigger
File or document event
Process with AI
Route for approval
Notify team
How it works

Every Automatic Data Extraction action
governed end-to-end.

Cerebral OS isn't a connector. It's the execution layer that sits in front of Automatic Data Extraction — adding governance, dry-run safety, and a full audit trail to every operation.

Governance first
Every verb carries a risk classification. High-risk writes require explicit approval gates before they execute in production.
Dry-run safe
Simulate any Automatic Data Extraction action before it touches production. See exactly what would happen before a single real call is made.
Immutable audit trail
Every Automatic Data Extraction action is logged — what ran, what changed, who approved it, when it happened. Full history on every verb, forever.
Connect with

Automatic Data Extraction works best
alongside these.

Build multi-step workflows that connect Automatic Data Extraction to the rest of your stack. All governed. All audited.

Google Drive Dropbox Box Notion Slack
Automatic Data Extraction integration

Start free.
No credit card required.

Start free with 1,000 runs — no credit card required. Connect Automatic Data Extraction in minutes, dry-run every action before it touches production, full audit trail on everything.

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