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Generating Tableau Prep data flow (.tfl) files

daikw MCP

全面解析Daikw MCP Server On RaspiMCP Server的核心功能、安装配置和实用案例。作为顶级Model Context Protocol服务器，Daikw MCP Server On Raspi能让AI助手访问实时数据、执行操作，为您提供更智能的工作体验和自动化解决方案。

Connects AI models to real-time search and inventory data for major South Korean retail chains, convenience stores, and cinemas. It enables users to check product availability at stores like Daiso and Olive Young, or view movie schedules at CGV and Megabox.

Enables interaction with Dameng databases through natural language or direct SQL operations. Provides a web interface for listing tables, executing queries, and viewing table structures with MCP protocol support for AI model integration.

Provides comprehensive statistical analysis tools for industrial data including time series analysis, correlation calculations, stationarity tests, outlier detection, causal analysis, and forecasting capabilities. Enables data quality assessment and statistical modeling through a FastAPI-based MCP architecture.

An MCP server that provides data visualization and machine learning tools, featuring automated intent-based pipeline routing for data cleaning and model training. It enables LLMs to process CSV or JSON data to generate visual charts, perform regressions, or execute clustering analysis.

Automatically discovers database schema, performs data quality checks on tables and columns, and generates natural-language root cause analysis reports using Ollama LLM.

An MCP server that enables AI agents to safely explore and interact with MySQL databases through dynamic tool generation from stored procedures. It provides database discovery capabilities and intelligent procedure categorization while enforcing security restrictions to prevent data modification.

An extensible MCP server for database operations that supports PostgreSQL for managing schemas, tables, data, and user permissions. It features automatic migration recording for DDL changes and integrates with various AI-powered editors like Cursor, Zed, and Claude Code.

Enables AI assistants to interact with PostgreSQL and Supabase databases through natural language. Supports secure database operations including queries, migrations, and schema management with user-provided credentials.

Enables AI to interact with Microsoft Access (.mdb, .accdb) and SQLite 3 databases, including read-only support for Access 97 databases. Supports executing SQL queries, importing/export data from CSV and Excel files, and storing notes about database files.

Databases Storm

🌩️ Unified Database Management System - MCP server for orchestrating Supabase and multiple databases

Agent-native company intelligence. AI agents search and retrieve structured, verified company context (certifications, capabilities, capacity, lead times) for manufacturing & supply chain via 5 MCP tools.

Authenticates with Databricks via OAuth and exposes remote MCP tools from Databricks applications, enabling interaction with Databricks-hosted tools through Claude.

Enables AI assistants like Claude to interact with Databricks workspaces through secure OAuth authentication. Supports custom prompts, tools for cluster management, SQL execution, and job operations via the Databricks SDK.

Enables AI assistants like Claude to interact with Databricks workspaces through secure OAuth authentication. Supports custom prompts, tools for cluster management, SQL execution, and job operations via the Databricks SDK.

Enables AI agents to access enterprise data from Unity Catalog (vector search, functions, Genie spaces) and perform developer actions in Databricks like managing notebooks and running jobs.

Enables AI assistants like Claude to interact with Databricks workspaces through secure OAuth authentication. Supports custom prompts, tools for cluster management, SQL execution, and job operations via the Databricks SDK.

Deploys the Databricks AI Dev Kit MCP server as a Databricks App, exposing over 80 tools for interacting with workspace services like SQL warehouses, Unity Catalog, and AI/BI dashboards. It enables users to manage and query Databricks resources via natural language in the AI Playground using a Streamable HTTP transport.

Enables AI assistants like Claude to interact with Databricks workspaces through secure OAuth authentication. Supports custom prompts, tools for workspace management, and SQL query execution via a deployable MCP server on Databricks Apps.