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Query and semantically search bilingual support ticket data using natural language.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "support-ticket-mcp" yet — see the docs or source repo.
Search support tickets from the last 30 days, cluster them semantically, and summarize the top 5 complaint themes with ticket counts, representative issues, and bilingual examples.
A theme-based complaint summary with counts, typical issues, and bilingual ticket examples.
Find all tickets related to refund delays, including semantically similar Chinese and English requests, and rank them by urgency.
A ranked list of refund-delay tickets covering semantically similar requests in both languages.
Calculate average response and resolution times by issue type, identify the 3 slowest ticket categories, and explain possible reasons.
A timing analysis by issue type, ranking of the slowest ticket categories, and possible cause summary.
Query any SQL database in natural language with safe auto-generated SQL.
Triages support tickets with evidence-based recommendations and local audit logging.
Query customer, order, and revenue data safely with natural language.
Query and analyze customer support data with filtering, counting, and summaries.
Query and manage SQLite databases using natural language through an MCP tool.
Query spreadsheets in natural language with auditable, read-only structured analysis.