How to Use the Chattermill MCP in VS Code Copilot
Bring Chattermill sentiment analysis into VS Code Copilot via this MCP Server to debug customer issues using real feedback.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Chattermill MCP to VS Code Copilot
Create your Vinkius account to connect Chattermill to VS Code Copilot and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Query Customer Segments in VS Code
`list_chattermill_projects` fetches the exact workspace keys your team needs to investigate user feedback. VS Code Copilot uses this identifier to target specific product lines without you having to hunt down IDs in a separate browser tab. `list_custom_segments` pulls your user-defined cohorts straight into the editor. Your agent filters responses by these segments, helping you isolate bugs affecting specific groups like enterprise users or mobile app testers.
Debug with Raw Response Details
`list_feedback_responses` grabs up to 100 paginated customer comments at a time, filtered by date. When a new release goes out, Copilot pulls the latest feedback directly into your IDE to see what users are reporting. `get_response_details` retrieves the full text, assigned score, and metadata for any concerning review. Your agent reads the exact customer complaint and cross-references it with your recent commits to find the root cause.
Track NPS via Chattermill MCP Server
`get_chattermill_metric` calculates net sentiment and volume for your project using UNIX timestamps. Copilot checks these numbers to tell you if the last deployment negatively impacted customer satisfaction. `list_theme_categories` pulls the high-level parent groupings of customer complaints. Your agent maps these categories to your codebase, showing you exactly which feature area needs immediate attention.
Set up Chattermill MCP in VS Code Copilot
Prerequisites
- VS Code 1.99 or later with GitHub Copilot extension
- Active Vinkius subscription with a valid endpoint token
- 1
Open MCP configuration
Open the Command Palette (
Cmd+Shift+P/Ctrl+Shift+P) and run "MCP: Add Server". Select HTTP (Streamable) as the server type. VS Code will create.vscode/mcp.jsonin your workspace. - 2
Add the Chattermill MCP
Paste the JSON snippet shown on the right into your
.vscode/mcp.json. Replace[YOUR_TOKEN_HERE]with your endpoint token from cloud.vinkius.com. - 3
Switch to Agent mode
Open Copilot Chat (
Cmd+Shift+I/Ctrl+Shift+I) and switch to Agent mode using the dropdown. MCP tools are only available in Agent mode — they do not appear in Edit or Ask modes. - 4
Verify the connection
In the Copilot Chat input, type
#to list available tools. You should see the Chattermill tools listed. Try asking: "List my recent Chattermill transactions" and Copilot will invoke them automatically.
{
"mcpServers": {
"chattermill-mcp": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
} 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
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Real-time monitoring
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Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
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lower AI costs
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
Single dashboard
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Common questions about Chattermill MCP in VS Code Copilot
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
Start using the Chattermill MCP today
We host it, we monitor it, we maintain it. You just paste one token.