MCP & AI Agent Integration

Azure Sql
automation.

10 AI agent actions for Azure Sql — callable from any MCP-compatible runtime, Claude, Cursor, or Cerebral OS workflow. Use Azure Sql to automate business processes and connect tools in your stack. Full governance, audit trail, and dry-run safety on every execution.

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
3
Read operations
7
Write operations
2
High-risk actions (approval gated)
Business Tools Azure Sql 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 Azure Sql.

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 Database Info
azure_sql:get_database_info
Get basic information about the connected Azure SQL database.
Read Low risk
Get Table Schema
azure_sql:get_table_schema
Get the schema definition for a specific table including columns, data types, and constraints.
Read Low risk
List Tables
azure_sql:list_tables
List all tables in the database with basic metadata.
Read Low risk
Create Table
azure_sql:create_table
Create a new table in the database with the specified schema.
Write Medium risk
Delete Record
azure_sql:delete_record
Delete records from the specified table. USE WITH EXTREME CAUTION!
Write High risk
Drop Table
azure_sql:drop_table
Drop (delete) a table and ALL its data permanently.
Write High risk
Execute Query
azure_sql:execute_query
Execute a SQL query against the Azure SQL database.
Write Medium risk
Insert Record
azure_sql:insert_record
Insert a new record into the specified table.
Write Medium risk
Select Records
azure_sql:select_records
Select records from the specified table with optional filtering, sorting, and pagination.
Write Low risk
Update Record
azure_sql:update_record
Update existing records in the specified table based on WHERE conditions.
Write Medium risk
MCP & Runtime API

Call Azure Sql
from any AI agent.

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

azure_sql:get_database_info READ
# Call via Runtime API
curl
-X POST \
  "https://api.cerebralos.com/v1/runtime/actions/run"
  -H "X-API-Key: YOUR_KEY" \
  -d '{
    "verb": "azure_sql:get_database_info",
    "args": {},
    "execution_id": "agent-001"
  }'
azure_sql:create_table 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": "azure_sql:create_table",
    "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 Azure Sql.

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

Every Azure Sql action
governed end-to-end.

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

Azure Sql works best
alongside these.

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

Azure Sql integration

Start free.
No credit card required.

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

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