MCP & AI Agent Integration

Chatlayer
automation.

16 AI agent actions for Chatlayer — callable from any MCP-compatible runtime, Claude, Cursor, or Cerebral OS workflow. Use Chatlayer 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
16
actions
100%
governed
<200ms
latency
16
AI agent actions
8
Read operations
8
Write operations
1
High-risk actions (approval gated)
Customer Support Chatlayer 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 Chatlayer.

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 Bot
chatlayer:get_bot
Fetch a single bot by ID with configuration and status information.
Read Low risk
Get Conversation
chatlayer:get_conversation
Fetch a single conversation by ID with optional message history.
Read Low risk
Get Intent
chatlayer:get_intent
Fetch a single intent by ID with training phrases and responses.
Read Low risk
Get User
chatlayer:get_user
Fetch a single user by ID with profile information and conversation history.
Read Low risk
List Bots
chatlayer:list_bots
List all bots with optional filtering and pagination.
Read Low risk
List Conversations
chatlayer:list_conversations
List conversations with optional filtering and pagination.
Read Low risk
List Intents
chatlayer:list_intents
List all intents for a specific bot with optional filtering.
Read Low risk
List Users
chatlayer:list_users
List users with optional filtering and search capabilities.
Read Low risk
Create Bot
chatlayer:create_bot
Create a new bot with the specified configuration.
Write Medium risk
Create Intent
chatlayer:create_intent
Create a new intent with training phrases and responses.
Write Medium risk
Delete Bot
chatlayer:delete_bot
Permanently delete a bot and all its associated data. THIS CANNOT BE UNDONE.
Write High risk
Publish Bot
chatlayer:publish_bot
Publish a bot to make it available for conversations. This deploys the current bot configuration.
Write Medium risk
Send Message
chatlayer:send_message
Send a message to a user in an active conversation.
Write Medium risk
Train Bot
chatlayer:train_bot
Train the bot's NLP model with current intents and training phrases.
Write Medium risk
Update Bot
chatlayer:update_bot
Update an existing bot's configuration.
Write Medium risk
Update User
chatlayer:update_user
Update user profile information and custom attributes.
Write Medium risk
MCP & Runtime API

Call Chatlayer
from any AI agent.

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

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

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 Chatlayer data
Call chatlayer:get_bot 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 Chatlayer
Dry-run validates chatlayer:create_bot 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 Chatlayer action
governed end-to-end.

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

Chatlayer works best
alongside these.

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

Chatlayer integration

Start free.
No credit card required.

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

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