MCP & AI Agent Integration

Dixa
automation.

17 AI agent actions for Dixa — callable from any MCP-compatible runtime, Claude, Cursor, or Cerebral OS workflow. Use Dixa 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
17
actions
100%
governed
<200ms
latency
17
AI agent actions
9
Read operations
8
Write operations
0
High-risk actions (approval gated)
Customer Support Dixa 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 Dixa.

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
dixa:get_agent
Fetch a single agent by ID with status and queue information.
Read Low risk
Get Contact
dixa:get_contact
Fetch a single contact by ID with all contact information.
Read Low risk
Get Conversation
dixa:get_conversation
Fetch a single conversation by ID with messages and metadata.
Read Low risk
Get Queue
dixa:get_queue
Fetch a single queue by ID with statistics and agent information.
Read Low risk
List Agents
dixa:list_agents
List all agents with optional filtering by status or queue.
Read Low risk
List Contacts
dixa:list_contacts
List contacts with optional search filters by email, name, phone, or company.
Read Low risk
List Conversations
dixa:list_conversations
List conversations with optional filtering by status, queue, assignee, or contact.
Read Low risk
List Messages
dixa:list_messages
List all messages in a conversation with optional filtering.
Read Low risk
List Queues
dixa:list_queues
List all queues with optional filtering by status.
Read Low risk
Assign Conversation
dixa:assign_conversation
Assign a conversation to a specific agent.
Write Medium risk
Close Conversation
dixa:close_conversation
Close a conversation and optionally add a closing note.
Write Medium risk
Create Contact
dixa:create_contact
Create a new contact with contact information and optional custom fields.
Write Medium risk
Create Conversation
dixa:create_conversation
Create a new conversation with initial message.
Write Medium risk
Send Message
dixa:send_message
Send a message or internal note to a conversation.
Write Medium risk
Transfer Conversation
dixa:transfer_conversation
Transfer a conversation to a different queue and optionally assign to specific agent.
Write Low risk
Update Contact
dixa:update_contact
Update contact information, custom fields, or tags.
Write Medium risk
Update Conversation
dixa:update_conversation
Update conversation properties like status, assignee, priority, or queue.
Write Medium risk
MCP & Runtime API

Call Dixa
from any AI agent.

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

dixa: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": "dixa:get_agent",
    "args": {},
    "execution_id": "agent-001"
  }'
dixa:assign_conversation 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": "dixa:assign_conversation",
    "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 Dixa.

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 Dixa data
Call dixa: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 Dixa
Dry-run validates dixa:assign_conversation 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 Dixa action
governed end-to-end.

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

Dixa works best
alongside these.

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

Dixa integration

Start free.
No credit card required.

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

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