Chattermill

Chattermill MCP Connector for Claude

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Analyze customer feedback and sentiment via Chattermill — track AI-powered themes, monitor NPS and CSAT, and unify feedback from every channel directly from any AI agent.

11 tools Official Updated Jun 28, 2026 Official Vinkius Partner

Connect your Chattermill account to any AI agent and take full control of your customer experience (CX) intelligence through natural conversation. Unify feedback from Zendesk, App Store, Typeform, and dozens of other sources into one AI-powered view.

What you can do

  • Project Management — List and inspect all feedback projects configured in your account
  • Feedback Intelligence — Browse, filter, and paginate customer responses with full date and source filtering
  • Theme Analysis — Explore AI-generated themes and categories to pinpoint recurring customer issues
  • Metric Insights — Retrieve calculated NPS, CSAT, net sentiment, and volume metrics on demand
  • Source Auditing — List all data sources and data types feeding your feedback pipeline
  • Segmentation — Access custom segments for advanced cohort analysis
  • Data Ingestion — Submit new feedback entries for analysis directly from your agent

How it works

  1. Subscribe to this server
  2. Enter your Chattermill API Key (found at Settings > API in your Chattermill dashboard)
  3. Start querying your customer insights from Claude, Cursor, or any MCP-compatible client

Who is this for?

  • CX Managers — monitor sentiment trends and drill into specific customer comments using natural language
  • Product Managers — identify recurring themes to prioritize features without opening the dashboard
  • Insights Teams — quickly retrieve NPS and CSAT metrics for reporting straight from the chat interface
  • Operations Teams — verify data source connectivity and audit feedback ingestion pipelines
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11 tools expose this connector's capabilities to your AI agent.

submit_feedback_response

Requires the project_key plus comment text. Optionally supply score, data_source, and data_type keys from their respective list endpoints. Submit a new feedback response to a Chattermill project

get_chattermill_metric

Valid metric_type values: nps, average_score, net_sentiment, volume. Supports optional date range filtering with UNIX timestamps. Retrieve a calculated metric (NPS, CSAT, sentiment, volume) for a project

get_chattermill_project

Use list_chattermill_projects first if the project ID is unknown. Get details of a specific Chattermill project by its ID

get_response_details

Returns the comment, score, metadata, and applied themes. Get detailed information for a single feedback response

list_theme_categories

Categories are parent groupings for themes, useful for high-level trend analysis. List categories that group feedback themes together

list_feedback_sources

Returns configured data ingestion sources. Use this to discover available source keys for filtering responses. List all feedback data sources for a project (e.g. Zendesk, App Store, Typeform)

list_data_types

Returns data classification types used to categorize responses. Use this to discover type keys for filtering. List all feedback data types for a project (e.g. NPS, review, survey)

list_chattermill_projects

Use this first to obtain the project key needed by all other Chattermill tools. The project key is typically a lowercase version of the company name. List all available feedback projects in the Chattermill account

list_feedback_responses

Supports pagination via page/per_page and date filtering via date_from/date_to in YYYYMMDD_HHMMSS format. Default: page 1, 20 results per page, max 100. List paginated feedback responses for a specific project

list_custom_segments

Returns user-defined segments used for advanced filtering and cohort analysis. List custom segments defined for a project

list_feedback_themes

Returns themes automatically generated by Chattermill ML to classify recurring customer topics. List AI-generated feedback themes detected in a project

See how to talk to your AI agent using Chattermill.

List all my Chattermill projects and then show me the latest feedback responses from the first one.

Found 3 projects: 'acme', 'acme-mobile', 'acme-support'. Fetching responses for 'acme'... Showing 20 of 1,482 responses. 12 mention 'UI Complexity' with negative sentiment. Would you like to filter by date or view specific themes?

What is our current NPS score for the 'acme' project?

Retrieving NPS metric for 'acme'... Your current NPS is +45. This reflects all processed feedback responses. Would you like to filter by a specific date range or compare with another metric like CSAT?

Show me the AI-detected themes and their categories for my mobile app project.

Retrieving themes for 'acme-mobile'... Found 8 active themes: 'App Crash', 'Slow Loading', 'Easy Checkout', 'Biometric Login', and 4 more. These are grouped under 3 categories: 'Performance', 'UX', and 'Security'. Would you like to see feedback volume for any specific theme?

Start by asking the agent to run `list_chattermill_projects`. This returns all your projects with their keys. Most Chattermill API endpoints — responses, themes, metrics, etc. — require this project key as the first parameter.

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