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MCP Integrations Chattermill
MCP & AI Agent Integration

Chattermill
automation.

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

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No credit card required
Live in production environments
<200ms median execution
Dry-run before production
Execution trace
live
13
actions
100%
governed
<200ms
latency
13
AI agent actions
7
Read operations
6
Write operations
1
High-risk actions (approval gated)
Business Tools Chattermill 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 Chattermill.

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 Feedback
chattermill:get_feedback
Fetch a single feedback record by ID with all associated metadata.
Read Low risk
Get Insights
chattermill:get_insights
Get analytical insights and trends from feedback data with sentiment analysis and theme breakdown.
Read Low risk
Get Segment
chattermill:get_segment
Fetch a single customer segment by ID with its configuration and metrics.
Read Low risk
Get Theme
chattermill:get_theme
Fetch a single theme by ID with its keywords and feedback associations.
Read Low risk
List Feedback
chattermill:list_feedback
List feedback records with optional filtering and pagination.
Read Low risk
List Segments
chattermill:list_segments
List customer segments with optional filtering and pagination.
Read Low risk
List Themes
chattermill:list_themes
List themes with optional filtering and pagination.
Read Low risk
Analyze Feedback
chattermill:analyze_feedback
Analyze a piece of feedback text for sentiment, themes, and keywords without storing it.
Write Medium risk
Create Feedback
chattermill:create_feedback
Create a new feedback record in Chattermill for analysis and insights.
Write Medium risk
Create Segment
chattermill:create_segment
Create a new customer segment with specified filters for feedback analysis.
Write Medium risk
Create Theme
chattermill:create_theme
Create a new theme for categorizing and analyzing feedback.
Write Medium risk
Delete Feedback
chattermill:delete_feedback
Delete a feedback record permanently. This action cannot be undone.
Write High risk
Update Feedback
chattermill:update_feedback
Update an existing feedback record with new information.
Write Medium risk
MCP & Runtime API

Call Chattermill
from any AI agent.

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

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

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

Every Chattermill action
governed end-to-end.

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

Chattermill works best
alongside these.

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

Slack Gmail Hubspot Google Sheets Notion
Chattermill integration

Start free.
No credit card required.

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

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