MCP & AI Agent Integration

Manychat
automation.

11 AI agent actions for Manychat — callable from any MCP-compatible runtime, Claude, Cursor, or Cerebral OS workflow. Use Manychat to manage subscribers, trigger campaigns, and personalize outreach at scale. 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
11
actions
100%
governed
<200ms
latency
11
AI agent actions
4
Read operations
7
Write operations
1
High-risk actions (approval gated)
Marketing Manychat is a Marketing integration — use it to automate email campaigns, audience management, and automation from any AI agent or MCP-compatible runtime.
Actions

What you can do
with Manychat.

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.

Find Subscriber By Email
manychat:find_subscriber_by_email
Find a subscriber by their email address.
Read Low risk
Find Subscriber By Phone
manychat:find_subscriber_by_phone
Find a subscriber by their phone number.
Read Low risk
Get Subscriber
manychat:get_subscriber
Fetch a single subscriber by ID with their profile information and tags.
Read Low risk
List Subscribers
manychat:list_subscribers
List subscribers with optional filtering by status and tags.
Read Low risk
Add Tag
manychat:add_tag
Add a tag to a subscriber for segmentation and targeting.
Write Medium risk
Create Subscriber
manychat:create_subscriber
Create a new subscriber in ManyChat.
Write Medium risk
Remove Tag
manychat:remove_tag
Remove a tag from a subscriber.
Write High risk
Send Flow
manychat:send_flow
Send a flow (sequence of messages) to a specific subscriber.
Write Medium risk
Send Message
manychat:send_message
Send a message to a specific subscriber.
Write Medium risk
Set Custom Field
manychat:set_custom_field
Set a custom field value for a subscriber.
Write Medium risk
Update Subscriber
manychat:update_subscriber
Update an existing subscriber's profile information.
Write Medium risk
MCP & Runtime API

Call Manychat
from any AI agent.

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

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

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 Manychat data
Call manychat:find_subscriber_by_email 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 Manychat
Dry-run validates manychat:add_tag before execution
Approval gate fires if risk level is high
Action executes with full governance — logged, audited, reversible
Trigger
Campaign or subscriber event
Segment audience
Trigger follow-up
Log metrics to dashboard
How it works

Every Manychat action
governed end-to-end.

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

Manychat works best
alongside these.

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

Manychat integration

Start free.
No credit card required.

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

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