MCP & AI Agent Integration

Chaindesk
automation.

14 AI agent actions for Chaindesk — callable from any MCP-compatible runtime, Claude, Cursor, or Cerebral OS workflow. Use Chaindesk to resolve tickets, route conversations, and escalate edge cases without a human in the loop. 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
14
actions
100%
governed
<200ms
latency
14
AI agent actions
6
Read operations
8
Write operations
2
High-risk actions (approval gated)
Customer Support Chaindesk is a Customer Support integration — use it to automate ticket management, conversations, and escalations from any AI agent or MCP-compatible runtime.
Actions

What you can do
with Chaindesk.

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 Agent
chaindesk:get_agent
Fetch a single agent by ID with configuration and settings.
Read Low risk
Get Conversation
chaindesk:get_conversation
Fetch a single conversation by ID with optional message history.
Read Low risk
Get Datasource
chaindesk:get_datasource
Fetch a single datasource by ID with configuration and status.
Read Low risk
List Agents
chaindesk:list_agents
List all agents with optional filtering and pagination.
Read Low risk
List Conversations
chaindesk:list_conversations
List conversations with optional filtering and pagination.
Read Low risk
List Datasources
chaindesk:list_datasources
List all datasources with optional filtering and pagination.
Read Low risk
Create Agent
chaindesk:create_agent
Create a new AI agent with specified configuration.
Write Medium risk
Create Datasource
chaindesk:create_datasource
Create a new datasource for training AI agents.
Write Medium risk
Delete Agent
chaindesk:delete_agent
Permanently delete an agent and all its associated data.
Write High risk
Delete Datasource
chaindesk:delete_datasource
Permanently delete a datasource and remove it from all agents.
Write High risk
Send Message
chaindesk:send_message
Send a message to an agent and get AI response.
Write Medium risk
Sync Datasource
chaindesk:sync_datasource
Trigger manual sync/reprocessing of a datasource.
Write Medium risk
Update Agent
chaindesk:update_agent
Update an existing agent's configuration.
Write Medium risk
Update Datasource
chaindesk:update_datasource
Update an existing datasource configuration.
Write Medium risk
MCP & Runtime API

Call Chaindesk
from any AI agent.

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

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

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 Chaindesk data
Call chaindesk:get_agent 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 Chaindesk
Dry-run validates chaindesk:create_agent before execution
Approval gate fires if risk level is high
Action executes with full governance — logged, audited, reversible
Trigger
Support ticket created
Classify with AI
Auto-resolve or escalate
Notify team with full context
How it works

Every Chaindesk action
governed end-to-end.

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

Chaindesk works best
alongside these.

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

Chaindesk integration

Start free.
No credit card required.

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

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