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MCP Integrations Remote Retrieval
MCP & AI Agent Integration

Remote Retrieval
automation.

16 AI agent actions for Remote Retrieval — callable from any MCP-compatible runtime, Claude, Cursor, or Cerebral OS workflow. Use Remote Retrieval to automate business processes and connect tools in your stack. 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
16
actions
100%
governed
<200ms
latency
16
AI agent actions
7
Read operations
9
Write operations
3
High-risk actions (approval gated)
Business Tools Remote Retrieval is a Business Tools integration — use it to automate business operations and workflow automation from any AI agent or MCP-compatible runtime.
Actions

What you can do
with Remote Retrieval.

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 Job
remote_retrieval:get_job
Fetch a single background job by ID with status and progress information.
Read Low risk
Get Query
remote_retrieval:get_query
Fetch a single query by ID with execution status and results summary.
Read Low risk
Get Results
remote_retrieval:get_results
Retrieve results from a completed query with pagination support.
Read Low risk
Get Source
remote_retrieval:get_source
Fetch a single data source by ID with configuration and status.
Read Low risk
List Jobs
remote_retrieval:list_jobs
List and filter background jobs with status and progress information.
Read Low risk
List Queries
remote_retrieval:list_queries
List and search queries with filtering and sorting options.
Read Low risk
List Sources
remote_retrieval:list_sources
List and search data sources with filtering options.
Read Low risk
Cancel Job
remote_retrieval:cancel_job
Cancel a pending or running background job.
Write High risk
Cancel Query
remote_retrieval:cancel_query
Cancel a running query execution.
Write High risk
Create Query
remote_retrieval:create_query
Create and optionally execute a new query against a data source.
Write Medium risk
Create Source
remote_retrieval:create_source
Create a new data source for remote retrieval.
Write Medium risk
Delete Source
remote_retrieval:delete_source
Permanently delete a data source and all associated data.
Write High risk
Execute Query
remote_retrieval:execute_query
Execute an existing query with optional parameter overrides.
Write Medium risk
Export Results
remote_retrieval:export_results
Export query results to a downloadable file in various formats.
Write Medium risk
Test Connection
remote_retrieval:test_connection
Test connectivity and authentication to a data source.
Write Medium risk
Update Source
remote_retrieval:update_source
Update an existing data source configuration.
Write Medium risk
MCP & Runtime API

Call Remote Retrieval
from any AI agent.

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

remote_retrieval:get_job READ
# Call via Runtime API
curl
-X POST \
  "https://api.cerebralos.com/v1/runtime/actions/run"
  -H "X-API-Key: YOUR_KEY" \
  -d '{
    "verb": "remote_retrieval:get_job",
    "args": {},
    "execution_id": "agent-001"
  }'
remote_retrieval:cancel_job 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": "remote_retrieval:cancel_job",
    "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 Remote Retrieval.

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 Remote Retrieval data
Call remote_retrieval:get_job 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 Remote Retrieval
Dry-run validates remote_retrieval:cancel_job before execution
Approval gate fires if risk level is high
Action executes with full governance — logged, audited, reversible
Trigger
Event in Remote Retrieval
Process with AI agent
Take governed action
Log to audit trail
How it works

Every Remote Retrieval action
governed end-to-end.

Cerebral OS isn't a connector. It's the execution layer that sits in front of Remote Retrieval — 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 Remote Retrieval action before it touches production. See exactly what would happen before a single real call is made.
Immutable audit trail
Every Remote Retrieval action is logged — what ran, what changed, who approved it, when it happened. Full history on every verb, forever.
Connect with

Remote Retrieval works best
alongside these.

Build multi-step workflows that connect Remote Retrieval to the rest of your stack. All governed. All audited.

Slack Gmail Hubspot Google Sheets Notion
Remote Retrieval integration

Start free.
No credit card required.

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

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