Chattermill MCP
Connect Chattermill to AI agents using the Model Context Protocol (MCP) to access customer feedback insights directly inside your AI workflows.
Model Context Protocol (MCP)
AI agents are increasingly used across product, CX, and support teams to draft documents, analyze data, and plan work. The Chattermill MCP Server allows those agents to securely retrieve customer feedback insights from your Chattermill workspace without switching tools or exporting reports.
Why connect AI agents with Chattermill?
Integrating MCP with Chattermill enables AI agents to access structured customer insights using natural language queries. Teams can surface summaries, feedback clusters, quantitative metrics, and individual customer responses directly within their AI agent.
This makes it easier to ground decisions in real customer feedback, whether you’re writing a PRD, analyzing NPS trends, or investigating recurring issues.
Key Capabilities of the Chattermill MCP Server
- Generate high-level summaries of customer feedback
- Identify recurring themes and emerging issues
- Access quantitative insights (NPS, sentiment, volume trends)
- Pull raw customer feedback responses
- Secure access based on existing Chattermill permissions
Supported AI Agents
The Chattermill MCP Server works with any MCP-compatible AI agent, including Claude, Claude Code, Cursor, Codex, Gemini CLI, Manus, OpenClaw, Notion AI, Mistral Le Chat, ChatGPT, and Dust.
Get Started with the Chattermill MCP
Set up the Chattermill MCP Server to bring customer insight directly into your AI workflows.
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