Theymes 
Claude Draft customer responses instantly
Generate personalized, context-aware responses based on ticket history, your knowledge base, and your brand voice. Review and send in seconds.
Every support response starts with the same process: read the ticket, check the knowledge base, review the customer's history, draft a reply, review it for tone and accuracy. For complex issues, this takes ten minutes or more per ticket.
Theymes MCP compresses this into seconds. The AI reads the full conversation context, checks your knowledge base for relevant solutions, considers the customer's history and sentiment, and generates a complete draft response.
Responses match your brand voice and follow your team's guidelines. The AI doesn't just paste KB articles — it synthesizes information into a natural, helpful response that addresses the customer's specific situation.
Connect your help desk
Link your Theymes instance to Theymes MCP. The system accesses ticket conversations, customer history, and your knowledge base content.
Generate a draft
Run /theymes draft-response with a ticket ID or paste the customer's message. The AI generates a complete response using your KB, tone guidelines, and conversation context.
Review and send
The draft appears ready for review. Edit if needed, approve, and send. Average handling time drops dramatically while response quality stays high.
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
- Context-aware responses that address the specific customer situation
- Knowledge base content automatically woven into natural responses
- Brand voice consistency across all team members
- Dramatically reduced average handling time per ticket
- Customer history and sentiment factored into every response
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