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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Chattermill with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Analyze customer feedback and sentiment via Chattermill. track AI-powered themes, monitor NPS and CSAT, and unify feedback from every channel directly from any

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Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Complete set · 11 capabilities

The complete Chattermill capability set.

These are the exact actions your AI can choose when you ask it to work with Chattermill.

Capability set01 / 03

01-04

4 capabilities in this set.

Part of 11 available through Chattermill.

  1. 01

    Get chattermill project

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

  2. 02

    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)

  3. 03

    List theme categories

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

  4. 04

    List custom segments

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

Capability set02 / 03

05-08

4 capabilities in this set.

Part of 11 available through Chattermill.

  1. 05

    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

  2. 06

    Get response details

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

  3. 07

    List chattermill projects

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

  4. 08

    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)

Capability set03 / 03

09-11

3 capabilities in this set.

Part of 11 available through Chattermill.

  1. 09

    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

  2. 10

    List feedback themes

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

  3. 11

    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

Observed, not estimated

907ms average. Fast in production.

Chattermill is checked daily against the live service.

Daily averagePeak 1112ms
Aug 20Today
Fastest day
788ms
Slowest day
1112ms
14-day trend
Slowing+5%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 11 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Chattermill, so you can see the experience inside your AI.

It does not authenticate your account with Chattermill. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Chattermill Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_7ElC5zitqUaAiTIJzTNguvk7mDPLGsadzWCfQEJc/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Chattermill capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "chattermill-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_7ElC5zitqUaAiTIJzTNguvk7mDPLGsadzWCfQEJc/mcp"
    }
  }
}
  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Step-by-step instructions for each client are in the guide. How to connect

FAQ

Questions Chattermill owners ask.

  • 01

    How do I find the project key I need to use with most capabilities?

    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.

  • 02

    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.

  • 03

    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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