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Connect Chattermill to ChatGPT, Claude and Gemini

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Turn raw feedback into actionable insights using your AI agent.

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

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

A futuristic MCP client docking bay
V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 11 capabilities

We ship only the actions that matter.

Capability set01 / 03

01-04

4 capabilities in this set.

Part of 11 available through Chattermill.

  1. 01

    Get chattermill project

    This capability retrieves specific details for a Chattermill project using its ID. Use list_chattermill_projects first if you need to find the right ID.

  2. 02

    List custom segments

    This capability pulls user-defined segments from a project. Your agent uses these for advanced cohort analysis and filtering.

  3. 03

    Get chattermill metric

    This capability fetches calculated metrics such as NPS, CSAT, net sentiment, or volume. You can filter these by specific date ranges using UNIX timestamps.

  4. 04

    Submit feedback response

    This capability sends a new feedback entry directly to a Chattermill project. You can include the comment, score, and specific source details.

Capability set02 / 03

05-08

4 capabilities in this set.

Part of 11 available through Chattermill.

  1. 05

    Get response details

    This capability provides the full details of a single feedback response. It includes the comment, score, metadata, and any applied themes.

  2. 06

    List theme categories

    This capability lists the parent categories that group various feedback themes. It is useful for high-level trend analysis.

  3. 07

    List feedback sources

    This capability returns all configured data ingestion sources for a project. It helps your agent identify available source keys like Zendesk or App Store for filtering.

  4. 08

    List data types

    This capability shows the different data classification types used in a project. It helps your agent identify if a response is an NPS entry, a review, or a survey.

Capability set03 / 03

09-11

3 capabilities in this set.

Part of 11 available through Chattermill.

  1. 09

    List chattermill projects

    This capability lists every feedback project in your Chattermill account. It is the starting point for finding the project keys required by other capabilities.

  2. 10

    List feedback responses

    This capability retrieves a paginated list of feedback responses. You can filter results by date or specific project parameters.

  3. 11

    List feedback themes

    This capability pulls the AI-generated themes that Chattermill uses to classify customer topics. It helps your agent identify recurring issues.

Real work

What teams actually run

01

Trend Monitoring

Check if sentiment for a specific feature is improving or declining over a set period.

02

Feature Prioritization

Identify the most frequent customer complaints to decide what to build next.

03

Metric Reporting

Get the latest NPS or CSAT numbers for a project without opening the dashboard.

04

Customer Deep Dives

Find the exact comments that led to a specific drop in sentiment scores.

Automate a task

Put Chattermill to work on one thing.

Step-by-step automations your AI runs through this Connector: the workflow, the prompts to start with, and the exact capabilities behind each move.

One connector, every AI

Chattermill works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

ClaudeClaudeChatGPTChatGPTGeminiGeminiPerplexityPerplexityGrokGrokMicrosoft CopilotMicrosoft CopilotCursorCursorVS CodeVS CodeWindsurfWindsurfJetBrainsJetBrainsClineClineLangChainLangChainVercel AI SDKVercel AI SDKLovableLovableZ.aiZ.aiRaycastRaycastQwen CodeQwen CodeKimi CodeKimi CodeLe ChatLe Chat

Building your own app? The connector is yours to use.

You don't need a client to put Chattermill to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Observed, not estimated

955ms average. Fast in production.

Chattermill is checked daily against the live service.

Daily averagePeak 1093ms
Oct 3Today
Fastest day
742ms
Slowest day
1093ms
14-day trend
Stable-4%

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

Guided setup for Claude? Set up Chattermill in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Chattermill owners hand off.

This MCP is built for teams that need to turn customer feedback into quick, actionable intelligence without manual data exports.

  • 01

    CX Managers

    They ask the agent to monitor sentiment trends and find specific customer comments.

  • 02

    Product Managers

    They use the agent to identify recurring themes to help prioritize feature roadmaps.

  • 03

    Insights Teams

    They pull NPS and CSAT metrics for reports directly from the chat interface.

  • 04

    Operations Teams

    They use the agent to audit data source connectivity and feedback pipelines.

FAQ

Questions Chattermill owners ask.

  • 01

    How do I connect my Chattermill data?

    You subscribe to the MCP on Vinkius and enter your Chattermill API Key. Once connected, it is ready to use in any compatible AI client.

  • 02

    Which AI clients can I use with this MCP?

    You can use this MCP with any compatible client, including Claude, Cursor, and Windsurf.

  • 03

    Can I pull NPS scores directly?

    Yes, you can ask your agent to retrieve NPS, CSAT, net sentiment, or volume metrics for any specific project.

  • 04

    Where does the feedback data come from?

    The MCP pulls data from the sources you have already configured in Chattermill, such as Zendesk, App Store, or Typeform.

  • 05

    Do I need to know project IDs to use this?

    No, you can use the list_chattermill_projects capability to find the correct project keys for your queries.

  • 06

    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.

  • 07

    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.

  • 08

    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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