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Analyze survey data (.sav, .csv, .xlsx) through Claude — crosstabs with significance testing, ANOVA, correlation, gap analysis, and publication-ready Excel expo
Analyze survey data (.sav, .csv, .xlsx) through Claude — crosstabs with significance testing, ANOVA, correlation, gap analysis, and publication-ready Excel exports. Upload once, analyze unlimited. ## What it does Talk2Data InsightGenius lets market researchers analyze survey data by talking to Claude instead of wrestling with desktop software. Upload an SPSS (.sav), CSV, or Excel file once and run unlimited analyses through 13 specialized tools. ## Features - Upload once, analyze unlimited: File sessions with 30-min sliding TTL (Redis-backed) - 13 analysis tools: frequencies, crosstabs, correlation, ANOVA, gap analysis, satisfaction summary, auto-analyze, tabulation, export, metadata, variable profiling - Multi-format: .sav (SPSS), .csv, .tsv, .xlsx, .xls with auto-detection - Significance testing: Column proportion z-test at 90/95/99% confidence with letter notation - Zero-config auto-analyze: Upload a file, get complete Excel with AI-detected banners, MRS groups, grids, and nets - Professional Excel output: Publication-ready workbooks with significance letters, dual bases, nets, means, MRS, and Grid summaries - Download URLs: Temporary 5-minute links for Excel files (n8n/Make compatible) - Batch analysis: Analyze up to 50 variables in a single frequency call ## Example 1: Quick Frequency Analysis User: "What's the distribution of overall satisfaction?" → spss_upload_file + spss_analyze_frequencies → Returns T2B 69.5%, mean 3.72 on 5-point scale ## Example 2: Cross-tabulation with Significance Testing User: "Compare satisfaction across regions." → spss_analyze_crosstab(row="sat_overall", col="region", significance_level=0.95) → London 68.6% T2B significantly higher than Scotland 50.4% (p=0.013) ## Example 3: Zero-Config Auto-Analyze with Excel Export User: "Just analyze everything and give me the Excel." → spss_auto_analyze → 62 tables, AI-detected banner (age_group), download link valid 5 min ## Authentication API key required (format: sk_live_... or sk_test_...). Obtain at https://spss.insightgenius.io
Smithery CLI connects your agents to thousands of skills and MCP servers directly from the command line. To get started, simply run npx skills add smithery/cli.
npm install -g smithery@latest
Requires Node.js 20+.
smithery mcp search [term] # Search the Smithery registry
smithery mcp add <url> # Add an MCP server connection
smithery mcp list # List your connections
smithery mcp remove <ids...> # Remove connections
Interact with tools from MCP servers connected via smithery mcp.
smithery tool list [connection] # List tools from your connected MCP servers
smithery tool find [query] # Search tools by name or intent
smithery tool get <connection> <tool> # Show full details for one tool
smithery tool call <connection> <tool> [args] # Call a tool
Browse skills on the Smithery Skills Registry and install them with the upstream installer:
npx skills add <skill> # e.g. npx skills add smithery-ai/cli
smithery auth login # Login with Smithery (OAuth)
smithery auth logout # Log out
smithery auth whoami # Check current user
smithery auth token # Mint a service token
smithery auth token --policy '<json>' # Mint a restricted token
smithery namespace list # List your namespaces
smithery namespace use <name> # Set current namespace
smithery mcp publish <url> -n <org/server> # Publish an MCP server URL
smithery mcp publish <bundle.mcpb> -n <org/server> # Publish an MCP bundle
# Search and connect to an MCP server
smithery mcp search "github"
smithery mcp add github --id github
# Find and call tools from your connected MCP servers
smithery tool find "create issue"
smithery tool call github create_issue '{"title":"Bug fix","body":"..."}'
# Browse and install skills
smithery skill search "frontend" --json --page 2
smithery skill add anthropics/frontend-design --agent claude-code
# Publish your MCP server URL
smithery mcp publish https://my-mcp-server.com -n myorg/my-server
# Publish a built MCP bundle
smithery mcp publish ./server.mcpb -n myorg/my-server
git clone https://github.com/smithery-ai/cli
cd cli && pnpm install && pnpm run build
npx . --help
Contributions welcome! Please submit a Pull Request.
Выполни в терминале:
claude mcp add talk2data-insightgenius -- npx -y @smithery/cli run quack2025/talk2data-insightgeniusQuery your database in natural language
автор: AnthropicA universal database MCP server supporting simultaneous connections to multiple databases. It provides tools for database operations, health analysis, SQL optim
автор: wenb1n-devRead-only database access with schema inspection.
автор: modelcontextprotocolInteract with Redis key-value stores.
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