Enables users to interact with the Sigma Computing API to analyze documents and manage analytics data via a serverless AWS architecture. It features document search and analytics capabilities with DynamoDB-backed caching for optimized performance.
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process.env. You'll be asked to provide them before it can run.ANALYTICS_ELEMENT_IDANALYTICS_WORKBOOK_IDAWS_LAMBDA_FUNCTION_NAMECACHE_TABLE_NAME— const cache = new DocumentCache(process.env.!);SIGMA_BASE_URL— baseUrl: process.env.!,SIGMA_CLIENT_ID— clientId: process.env.!,SIGMA_CLIENT_SECRET— clientSecret: process.env.!,SKIP_CACHE— Note: When using =true, the server will fetch data directly from the Sigma API for each request, which is useful for testing but may be slower than using cached data.USE_LOCAL_CACHE[](https://m8ven.ai/mcp/ja2z-mcp-server-15hq6s)