How to Use the Chattermill MCP in Windsurf

Q: How do I connect Chattermill to my Windsurf editor?

Open your /.codeium/windsurf/mcpconfig.json file and add the server configuration under the mcpServers key. Alternatively, configure it via Settings, Cascade, then MCP Servers in the UI. Cascade will auto-discover the tools once you hit refresh.

Q: Can Windsurf write new feedback back to Chattermill?

Yes, Cascade can submit new feedback entries using submitfeedbackresponse. It requires the project key and the comment text. You can also specify optional parameters like score, data source, and data type if Cascade pulls them first.

Q: How does Windsurf handle project keys in Chattermill?

The agent runs listchattermillprojects first to find the correct key, which is usually a lowercase version of your company name. Once it maps the key, it uses it for all subsequent metric and theme queries. You don't have to look up the keys yourself.

Q: Can I filter feedback by ingestion source?

Yes. The agent uses listfeedbacksources to discover connected channels like Zendesk or Typeform. It then passes those source keys to filter responses, letting you isolate feedback from specific channels.

Feed Chattermill feedback trends and customer sentiment directly into your Windsurf Cascade sessions.

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Connect Chattermill MCP to Windsurf

Create your Vinkius account to connect Chattermill to Windsurf 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 Windsurf

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Track sentiment trends via the Chattermill MCP Server

`get_chattermill_metric` lets your Cascade agent pull NPS, CSAT, net sentiment, or volume metrics for any project. You don't need to open the browser dashboard to check if a release tanked user sentiment. Ask Windsurf to fetch the numbers, and it will query the API using the exact date range you need. Cascade uses `list_chattermill_projects` to find the correct project key before running any metrics queries. Once it has the key, it can chain multiple calls to analyze customer satisfaction over the last month. You get raw, unfiltered metrics delivered straight into your workspace.

Deep dive into customer feedback comments

`list_feedback_responses` pulls actual user comments, scores, and metadata directly into your active workspace. When a specific feedback point looks off, Cascade triggers `get_response_details` to inspect the full context, including the applied themes and source details. This means you can ask your agent to use this MCP connection to find why users are complaining about a specific feature. Cascade will fetch the responses, read the themes, and point out the exact customer complaints. You don't have to spend an hour reading through CSV exports.

Analyze AI-generated themes and categories

`list_feedback_themes` exposes the machine learning classifications Chattermill applies to user feedback. Cascade reads these themes along with `list_theme_categories` to group feedback into high-level buckets. You can ask Cascade to find the most common bugs reported this week. It will pull the theme categories, map them to current support tickets, and write a summary of the top issues. The process runs in the background via the MCP protocol while you focus on writing code.

Setup guide

Set up Chattermill MCP in Windsurf

Prerequisites

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

1

Open MCP configuration

Click the Cascade assistant icon in the sidebar, then click the hammer icon (🔨) at the top of the panel. Select "Configure" to open ~/.codeium/windsurf/mcp_config.json.
2

Add the Chattermill MCP

Paste the JSON snippet shown on the right into the mcpServers object. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Refresh MCPs

Go back to the hammer icon (🔨) in Cascade and click "Refresh". Windsurf will detect the new server. No full restart is needed — the connection is hot-reloaded.
4

Verify in Cascade

Start a new Cascade conversation and ask something like "Show my Chattermill payment history." If connected, Cascade will call the Chattermill tools directly. You will see a green dot next to the server name in the MCP panel.

mcp_config.json

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

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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.

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Common questions about Chattermill MCP in Windsurf

Open your `~/.codeium/windsurf/mcp_config.json` file and add the server configuration under the `mcpServers` key. Alternatively, configure it via Settings, Cascade, then MCP Servers in the UI. Cascade will auto-discover the tools once you hit refresh.

Yes, Cascade can submit new feedback entries using `submit_feedback_response`. It requires the project key and the comment text. You can also specify optional parameters like score, data source, and data type if Cascade pulls them first.

The agent runs `list_chattermill_projects` first to find the correct key, which is usually a lowercase version of your company name. Once it maps the key, it uses it for all subsequent metric and theme queries. You don't have to look up the keys yourself.

Yes. The agent uses `list_feedback_sources` to discover connected channels like Zendesk or Typeform. It then passes those source keys to filter responses, letting you isolate feedback from specific channels.

Your feedback comments and customer scores remain secure because the server runs in a sandboxed V8 isolate. Vinkius handles the authorization token securely, meaning your API credentials are never exposed to the agent or any external network.

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