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Connect AI to Matih for queries, analytics, charts, and file uploads.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "@matihlabs/mcp" yet — see the docs or source repo.
Connect to the Matih platform, query sales by region for the last 12 months, identify the top three fastest-growing regions, and generate a monthly trend line chart plus a regional comparison bar chart.
A summary of query results, key growth findings, and two ready-to-use charts.
Profile the customer_orders table in Matih, checking column types, missing-value rates, duplicate records, and outlier distributions, then summarize the main data quality issues in Chinese.
An overview of the schema, data quality findings, and actionable data-cleaning recommendations.
Import my uploaded CSV file into Matih, identify the key fields, generate a basic statistical analysis, and suggest three follow-up questions worth exploring.
An import confirmation, field descriptions, statistical summary, and suggested next-step analyses.
Auto-generate MCP servers so AI can query data sources without code.
Production-ready MCP server for query normalization, retrieval, and RAG prompt building.
Turn existing APIs and databases into MCP tools for direct AI use.
Build, debug, and manage software tasks with natural language across LLMs.
Search, inspect, trace, and read business data assets across internal platforms.
Chat with AI to retrieve documents and trigger MCP-powered tools.