How to Use the Chattermill MCP in Cursor

Inject live Chattermill feedback data directly into your codebase using Cursor and this MCP Server.

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Connect Chattermill MCP to Cursor

Create your Vinkius account to connect Chattermill to Cursor 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 Cursor

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Build Dashboards with Real Feedback

`get_chattermill_metric` fetches live NPS and volume data so Cursor can write dashboard components using actual production numbers. Instead of typing out mock JSON, your agent pulls the real metrics and structures your frontend code around them. `list_feedback_themes` pulls the machine-learning generated topics straight from your account. Cursor reads the active themes and generates the exact TypeScript interfaces needed to map them in your application.

Map Data Sources via MCP Server

`list_feedback_sources` grabs the configured ingestion endpoints like Zendesk or Typeform directly into your editor. Cursor uses these exact source keys to write API wrappers that match your actual Chattermill configuration. `list_data_types` returns the classification types for surveys or reviews. Your agent writes conditional logic based on the real data types your project currently uses, eliminating guesswork.

Write Feedback Submission Logic

`submit_feedback_response` pushes a new comment and score to your workspace, requiring a specific project key. Cursor tests this endpoint live while you build the integration, ensuring the payload structure matches the required format perfectly. `list_chattermill_projects` retrieves the necessary project ID before submitting. Your agent writes the configuration file using the actual project key, so the code works the second you deploy it.

Setup guide

Set up Chattermill MCP in Cursor

Prerequisites

Cursor installed (macOS, Windows, or Linux)
Active Vinkius subscription with a valid endpoint token

1

Open MCP Settings

Go to Cursor Settings → MCP or open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and search for "MCP: Add Server".
2

Add the Chattermill MCP

Cursor will create or open .cursor/mcp.json in your project root. Paste the JSON snippet on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Enable Agent mode

Open Composer (Cmd+I / Ctrl+I) and switch to Agent mode using the dropdown at the top. MCP tools are only available in Agent mode.
4

Verify the connection

Ask Cursor something like "List my recent Chattermill transactions." If the MCP tools are loaded correctly, Cursor will call the Chattermill tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Chattermill. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Chattermill now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Chattermill MCP in Cursor

Create an mcp.json file in your project root or global .cursor directory. Add the server connection details and flip on Agent mode in the chat panel.

The agent pages through raw comments using the feedback response tools. It reads the text and metadata to understand the exact JSON structure it needs to parse in your code.

Ask the editor to list your custom segments. It pulls the user-defined cohorts so you can write exact filter parameters in your API calls.

If you place the configuration file in the project root, you can commit it to your repository. Anyone who pulls the repo gets access to the same MCP Server tools instantly.

Every request executes within a secure Vinkius sandbox that requires only a single endpoint token for authentication. Your customer survey responses and sentiment scores are processed ephemerally without being stored on our servers.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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