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Extract entities from conversations and handle coupon or delivery delay support tasks.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "entity-extraction-mcp" yet — see the docs or source repo.
Extract the customer name, membership tier, order number, issue type, and time information from the following support conversation, and return structured JSON:
Conversation: {{conversation}}Structured JSON with key entity fields for downstream analysis or routing.
Based on this membership inquiry conversation, identify the user's tier, needs, and purchase intent, then recommend the most suitable coupon and explain why: {{conversation}}A coupon recommendation with matching rationale and applicable scenarios.
Analyze the following delivery delay conversation, extract order details, delay reason, customer sentiment, and urgency, then generate a support ticket: {{conversation}}A support ticket containing order details and an issue summary for fast follow-up.
Extract and review Claude Code planning reasoning with structured decision analysis.
Report issues and integration problems between Claude and MCP.
Connect Claude or Cursor to email for sending, replying, and inbox search.
Search enterprise documents in natural language across PDF, PPT, and Word files.
Extract structured invoice data and review OCR results from business documents.
AI customer support MCP tool for order lookup and ecommerce knowledge search.