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How to Use the Chattermill MCP in Claude

Connect Claude Desktop to the Chattermill MCP Server to pull customer sentiment and NPS metrics directly into your chat window.

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Works with every AI agent you already use

…and any MCP-compatible client

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Claude Desktop

Connect Chattermill MCP to Claude Desktop

Create your Vinkius account to connect Chattermill to Claude Desktop 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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Track NPS and Sentiment via MCP Server

`get_chattermill_metric` pulls calculated NPS, CSAT, net sentiment, and volume data straight into Claude Desktop. You ask your agent for last quarter's satisfaction scores, and it fetches the exact numbers using UNIX timestamps for date ranges. No dashboards required. `list_theme_categories` maps specific spikes to parent groupings so you see the broader trend without leaving the Claude interface. If a specific theme spikes, `list_feedback_themes` grabs the auto-generated topics customers actually care about.

Read Raw Customer Feedback

`list_feedback_responses` pages through individual customer comments and scores for any specific Chattermill project. When Claude needs to see what users are saying right now, it hits this endpoint with date filters and grabs up to 100 results per page. `get_response_details` pulls the exact comment text, metadata, and applied themes for a specific complaint. Your agent reads the actual words the customer typed, figures out the context, and drafts a reply or bug report based on raw data.

Submit New Responses from Claude

`list_chattermill_projects` finds the exact project key your agent needs to interact with your feedback workspace. Once Claude has that key, it navigates custom segments via `list_custom_segments` to isolate specific user cohorts. `submit_feedback_response` pushes data back into the system without you opening a browser. Paste a customer email into Claude, and it fires the comment text, score, and source keys directly into your feedback pipeline.

Setup guide

Set up Chattermill MCP in Claude Web or Desktop

  1. 1

    Open Claude Settings

    Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.

  2. 2

    Add Custom Connector

    Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL: https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. For OAuth-protected servers, expand Advanced settings to add credentials.

  3. 3

    Start a conversation

    Open a new chat. The Chattermill MCP tools are available immediately — no restart needed.

Endpoint URL

https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

No configuration file needed — paste the URL directly in the Claude web interface.

Available on Free (1 connector), Pro, Max, Team, and Enterprise plans.

Why Choose Vinkius

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

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 Claude Desktop

Open Settings, go to Developer, and click Edit Config. Add the server details to your claude_desktop_config.json file. Restart the app completely to see the hammer icon appear in your chat input.
Yes, the metric tools accept UNIX timestamps for date range filtering. Tell your agent which weeks you want to check, and it applies the exact boundaries to the query.
Your agent fetches individual comments using the response details tool. It pulls the raw text, assigned score, and any applied metadata directly into the conversation.
Ask your agent to list all available projects first. It returns the lowercase company name or specific identifier required to run any other command.
Vinkius runs this integration inside a zero-trust V8 Isolate Sandbox that is destroyed after execution. Your raw customer comments, NPS scores, and segment metadata pass through an ephemeral environment that retains nothing.

Start using the Chattermill MCP today

We host it, we monitor it, we maintain it. You just paste one token.

Built & Managed by Vinkius 30s setup 11 tools

We've already built the connector for Chattermill. Just plug in your AI agents and start using Vinkius.

No hosting. No infrastructure. No complex setup.
All 11 tools are live and waiting. You're up and running in seconds.

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