Analyze customer feedback at scale
Connect your feedback data to Claude through Theymes MCP. Surface patterns, sentiment trends, and actionable insights without manual analysis.
Customer feedback is one of the most valuable data sources any company has. But most of it sits in spreadsheets, survey tools, and support systems — analyzed quarterly at best, usually never.
Theymes MCP connects your feedback data directly to your AI assistant. Instead of building pivot tables or waiting for someone to run a report, you ask a question and get an answer grounded in your actual data.
The analysis adapts to your needs. Ask about sentiment trends over the past month. Ask which product areas generate the most friction. Ask for a comparison between enterprise and SMB feedback. The AI works with your real data, not generic benchmarks.
Connect your data source
Point Theymes MCP at your Google Sheets, survey exports, or support feedback data. The connection is read-only and secure.
Run the analysis
In Claude or any MCP-compatible AI, run /theymes analyze-feedback. Add parameters like time ranges, segments, or specific topics to focus the analysis.
Get structured insights
Receive a breakdown of sentiment patterns, trending topics, emerging issues, and recommended actions — all based on your actual customer data.
How it works
Three steps to operational intelligence
Connect
Link your support tools through the Theymes MCP server. Works with any MCP-compatible AI assistant.
Ask
Run commands in Claude, ChatGPT, or your internal AI tools. Natural language or structured commands, both work.
Build your own MCP
Create custom MCP integrations tailored to your workflows. Connect your own tools and data sources.
Get startedWhat you get
- Sentiment analysis across time periods and customer segments
- Identification of trending topics and emerging issues
- Pattern recognition across thousands of feedback entries
- Actionable recommendations based on real data
- Exportable summaries for stakeholder meetings
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