Chattermill MCP Server
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.
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What is the Chattermill MCP Server?
The Chattermill MCP Server gives AI agents like Claude, ChatGPT, and Cursor direct access to Chattermill via 11 tools. 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. Powered by the Vinkius - no API keys, no infrastructure, connect in under 2 minutes.
Built-in capabilities (11)
Tools for your AI Agents to operate Chattermill
Ask your AI agent "List all my Chattermill projects and then show me the latest feedback responses from the first one." and get the answer without opening a single dashboard. With 11 tools connected to real Chattermill data, your agents reason over live information, cross-reference it with other MCP servers, and deliver insights you would spend hours assembling manually.
Works with Claude, ChatGPT, Cursor, and any MCP-compatible client. Powered by the Vinkius - your credentials never touch the AI model, every request is auditable. Connect in under two minutes.
Why teams choose Vinkius
One subscription gives you access to thousands of MCP servers - and you can deploy your own to the Vinkius Edge. Your AI agents only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure and security, zero maintenance.
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Chattermill MCP Server capabilities
11 toolsValid 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
Use list_chattermill_projects first if the project ID is unknown. Get details of a specific Chattermill project by its ID
Returns the comment, score, metadata, and applied themes. Get detailed information for a single feedback response
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
Returns user-defined segments used for advanced filtering and cohort analysis. List custom segments defined for a project
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)
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
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)
Returns themes automatically generated by Chattermill ML to classify recurring customer topics. List AI-generated feedback themes detected in a project
Categories are parent groupings for themes, useful for high-level trend analysis. List categories that group feedback themes together
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
What the Chattermill MCP Server unlocks
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
Frequently asked questions about the Chattermill MCP Server
How do I find the project key I need to use with most tools?
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.
What customer experience metrics can I retrieve?
Use get_chattermill_metric with a metric type of nps, average_score, net_sentiment, or volume. You can filter by date range, category, or theme for more targeted insights. All metrics require a project key.
Where do I find my Chattermill API Key?
Log in to your Chattermill account and navigate to Settings > API. You can generate and copy your personal API Key from that section. The key is used as a Bearer token on every API request.
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Give your AI agents the power of Chattermill MCP Server
Production-grade Chattermill MCP Server. Verified, monitored, and maintained by Vinkius. Ready for your AI agents — connect and start using immediately.






