How do I find the project key I need to use with most tools?

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.

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.

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.

Chattermill MCP Server for VS Code Copilot 11 tools — connect in under 2 minutes

Name: Chattermill
Availability: InStock
Author: Vinkius

code.visualstudio.com/docs/copilot/chat/mcp-servers

Built by Vinkius GDPR 11 Tools IDE

GitHub Copilot in VS Code is the most widely adopted AI coding assistant, embedded directly into the world's most popular code editor. With MCP support in Agent mode, Copilot can access external data and APIs to generate context-aware code grounded in real-time information.

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Classic Setup·json

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

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* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Chattermill MCP Server

Connect your Chattermill account to any AI agent and take full control of your customer experience (CX) intelligence through natural conversation. Unify feedback from Zendesk, App Store, Typeform, and dozens of other sources into one AI-powered view.

GitHub Copilot Agent mode brings Chattermill data directly into your VS Code workflow. With a project-scoped config, the entire team shares access to 11 tools. Copilot queries live data, generates typed code, and writes tests from actual API responses, all without leaving the editor.

What you can do

Project Management — List and inspect all feedback projects configured in your account
Feedback Intelligence — Browse, filter, and paginate customer responses with full date and source filtering
Theme Analysis — Explore AI-generated themes and categories to pinpoint recurring customer issues
Metric Insights — Retrieve calculated NPS, CSAT, net sentiment, and volume metrics on demand
Source Auditing — List all data sources and data types feeding your feedback pipeline
Segmentation — Access custom segments for advanced cohort analysis
Data Ingestion — Submit new feedback entries for analysis directly from your agent

The Chattermill MCP Server exposes 11 tools through the Vinkius. Connect it to VS Code Copilot in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Chattermill to VS Code Copilot via MCP

Follow these steps to integrate the Chattermill MCP Server with VS Code Copilot.

Create MCP config

Create a .vscode/mcp.json file in your project root

Add the server config

Paste the JSON configuration above

Enable Agent mode

Open GitHub Copilot Chat and switch to Agent mode using the dropdown

Start using Chattermill

Ask Copilot: "Using Chattermill, help me...". 11 tools available

Why Use VS Code Copilot with the Chattermill MCP Server

GitHub Copilot for Visual Studio Code provides unique advantages when paired with Chattermill through the Model Context Protocol.

VS Code is used by over 70% of developers. adding MCP tools to Copilot means your team can leverage external data without leaving their primary editor

Project-scoped MCP configs (`.vscode/mcp.json`) let you commit server configurations to your repository, ensuring the entire team shares the same tool access

Copilot's Agent mode integrates MCP tools seamlessly with file editing, terminal commands, and workspace search in a single agentic loop

GitHub's enterprise compliance and audit features extend to MCP tool usage, providing visibility into how AI interacts with external services

Chattermill + VS Code Copilot Use Cases

Practical scenarios where VS Code Copilot combined with the Chattermill MCP Server delivers measurable value.

Live API integration: Copilot can query an MCP server, inspect the response schema, and generate typed API client code in the same step

DevSecOps workflows: security teams can give developers access to domain intelligence tools directly in their editor for real-time vulnerability assessment during code review

Data pipeline development: Copilot fetches sample data via MCP and generates transformation scripts, validators, and test fixtures from actual API responses

Documentation generation: Copilot queries available tools and auto-generates README sections, API reference docs, and usage examples

Chattermill MCP Tools for VS Code Copilot (11)

These 11 tools become available when you connect Chattermill to VS Code Copilot via MCP:

get_chattermill_metric

Valid metric_type values: nps, average_score, net_sentiment, volume. Supports optional date range filtering with UNIX timestamps. Retrieve a calculated metric (NPS, CSAT, sentiment, volume) for a project

get_chattermill_project

Use list_chattermill_projects first if the project ID is unknown. Get details of a specific Chattermill project by its ID

get_response_details

Returns the comment, score, metadata, and applied themes. Get detailed information for a single feedback response

list_chattermill_projects

Use this first to obtain the project key needed by all other Chattermill tools. The project key is typically a lowercase version of the company name. List all available feedback projects in the Chattermill account

list_custom_segments

Returns user-defined segments used for advanced filtering and cohort analysis. List custom segments defined for a project

list_data_types

Returns data classification types used to categorize responses. Use this to discover type keys for filtering. List all feedback data types for a project (e.g. NPS, review, survey)

list_feedback_responses

Supports pagination via page/per_page and date filtering via date_from/date_to in YYYYMMDD_HHMMSS format. Default: page 1, 20 results per page, max 100. List paginated feedback responses for a specific project

list_feedback_sources

Returns configured data ingestion sources. Use this to discover available source keys for filtering responses. List all feedback data sources for a project (e.g. Zendesk, App Store, Typeform)

list_feedback_themes

Returns themes automatically generated by Chattermill ML to classify recurring customer topics. List AI-generated feedback themes detected in a project

list_theme_categories

Categories are parent groupings for themes, useful for high-level trend analysis. List categories that group feedback themes together

submit_feedback_response

Requires the project_key plus comment text. Optionally supply score, data_source, and data_type keys from their respective list endpoints. Submit a new feedback response to a Chattermill project

Example Prompts for Chattermill in VS Code Copilot

Ready-to-use prompts you can give your VS Code Copilot agent to start working with Chattermill immediately.

"List all my Chattermill projects and then show me the latest feedback responses from the first one."

"What is our current NPS score for the 'acme' project?"

"Show me the AI-detected themes and their categories for my mobile app project."

Troubleshooting Chattermill MCP Server with VS Code Copilot

Common issues when connecting Chattermill to VS Code Copilot through the Vinkius, and how to resolve them.

MCP tools not available

Ensure you are in Agent mode in Copilot Chat. MCP tools only appear in Agent mode.

Chattermill + VS Code Copilot FAQ

Common questions about integrating Chattermill MCP Server with VS Code Copilot.

Which VS Code version supports MCP?

MCP support requires VS Code 1.99 or later with the GitHub Copilot extension. Ensure both are updated to the latest version. Older versions of Copilot may not expose the Agent mode toggle.

How do I switch to Agent mode?

Open the Copilot Chat panel and look for two mode options: "Ask" and "Agent". Click "Agent" to enable autonomous tool calling. In Ask mode, Copilot provides conversational answers but cannot invoke MCP tools.

Can I restrict which MCP tools Copilot can access?

Yes. VS Code shows a tool consent dialog before any MCP tool is invoked for the first time. You can also configure tool access policies at the organization level through GitHub Copilot settings.

Does MCP work in VS Code Remote or Codespaces?

Yes. MCP servers configured via .vscode/mcp.json work in Remote SSH, WSL, and GitHub Codespaces environments. The MCP connection is established from the remote host, so ensure the server URL is accessible from that environment.