How to Use the Chattermill MCP in Cline

Q: Can Cline automatically tag feedback inside Chattermill?

Cline can send feedback using submitfeedbackresponse but cannot modify existing tags directly. It can query listfeedbackthemes to understand how the system categorizes comments, then submit pre-tagged feedback to match those themes.

Q: How does Cline find the right Chattermill project?

It executes listchattermillprojects to get a list of all available feedback projects. It then selects the correct project key, which it uses to run further queries for metrics, themes, or responses.

Q: Can I filter feedback by custom user segments?

Yes. Cline uses listcustomsegments to retrieve your defined user cohorts. It can then filter responses to show you what your enterprise customers or beta testers are saying.

Let Cline pull Chattermill data, build custom dashboards, and write code based on real customer feedback.

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Connect Chattermill MCP to Cline

Create your Vinkius account to connect Chattermill to Cline and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Chattermill with Cline

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Build feedback tools using the Chattermill MCP Server

`list_feedback_responses` retrieves live feedback entries, which Cline can use to generate UI components or mock data. You tell Cline to build a customer feedback widget, and it writes the code, grabs live responses, and populates the UI. Cline handles the entire task without manual steps. It reads the raw API response, writes the frontend code, and runs tests to ensure the data displays correctly. You get a working component backed by real-world customer feedback.

Map support channels to code fixes

`list_feedback_sources` identifies where your user feedback originates, whether it is App Store reviews or Zendesk tickets. Cline reads these sources along with `list_custom_segments` to isolate feedback from power users or specific platforms. When a spike in negative reviews occurs, you can tell Cline to investigate. It pulls the bad reviews, identifies the buggy component in your codebase, and writes a patch to fix the underlying issue.

Feed customer sentiment into your development cycle

`get_chattermill_metric` pulls active sentiment metrics like NPS and net sentiment. This MCP tool prioritizes your backlog, focusing on features that cause the most user frustration. You do not need to copy and paste data from a separate analytics tool. Cline pulls the metrics directly, analyzes the trends, and suggests which files in your repository need immediate refactoring.

Setup guide

Set up Chattermill MCP in Cline

Prerequisites

VS Code with Cline extension installed
Active Vinkius subscription with a valid endpoint token

1

Open Cline MCP settings

Click the Cline icon in the VS Code sidebar to open the Cline panel. Then click the MCP Servers icon (server stack) at the top-right corner of the panel.
2

Add a remote server

Click "Remote Servers" at the top, then click "Add Remote MCP". In the Name field, type chattermill-mcp. In the URL field, paste your Vinkius endpoint: https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp. Get your token from cloud.vinkius.com.
3

Enable the server

After saving, the server appears in the Cline MCP panel. Toggle the switch to enable it. The status indicator turns green when the connection is live.
4

Start using tools

Return to the Cline chat and ask: "Check my latest Chattermill refund status." Cline will discover the available tools and request your approval before invoking each one — giving you full control over every action.

Cline MCP Settings

{
  "mcpServers": {
    "chattermill-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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Common questions about Chattermill MCP in Cline

Open the Cline sidebar and click the MCP Servers icon. You can install it with one click from the Marketplace tab, or add the connection URL manually under the Remote Servers tab.

Cline can send feedback using `submit_feedback_response` but cannot modify existing tags directly. It can query `list_feedback_themes` to understand how the system categorizes comments, then submit pre-tagged feedback to match those themes.

It executes `list_chattermill_projects` to get a list of all available feedback projects. It then selects the correct project key, which it uses to run further queries for metrics, themes, or responses.

Yes. Cline uses `list_custom_segments` to retrieve your defined user cohorts. It can then filter responses to show you what your enterprise customers or beta testers are saying.

No customer feedback comments or sentiment scores are stored permanently. All requests run through ephemeral execution environments that wipe themselves clean after each session, keeping your sensitive data in memory only.

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