Connects AI agents to real-time crypto market data, covering market health scores, derivatives, ETF flows, and BTC cycle indicators. It provides 13 specialized tools for structured market analysis, sentiment tracking, and monitoring macro-economic indicators.
A spreadsheet and CSV analysis toolkit for AI agents that enables loading CSV files, filtering and querying data, computing statistics, creating aggregations, building pivot tables, and exporting chart-ready data using pandas.
Comprehensive CSV processing MCP server with 40+ operations for data manipulation, analysis, and validation. Features auto-save, undo/redo, and handles GB+ files
Enables AI assistants to query and analyze data from Cube.js analytics platforms, allowing natural language access to cubes, measures, dimensions, and complex analytics queries.
Enables users to interact with Cube's AI agent for real-time analytics and data exploration through a chat interface. It supports generating data visualizations, performing SQL queries, and analyzing trends using natural language.
A Middleware/Control Plane server that allows AI code agents to securely execute queries against various databases (PostgreSQL, MySQL, MongoDB, Oracle) without directly exposing credentials.
Enables deployment and hosting of custom MCP servers on Databricks Apps platform. Provides a template and deployment methods for creating scalable MCP servers with Databricks authentication.
Provides comprehensive import/export trade data queries including export trends, product category statistics, order geographic distribution, and overseas certification information to help users understand enterprises' international trade situations.
Generating Tableau Prep data flow (.tfl) files
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.
Enables interaction with MySQL and PostgreSQL databases through separate pluggable MCP servers with shared core functionality. Features optional TTL caching, bilingual prompts, and a unified gateway for managing multiple database connections.
Provides a natural language interface for querying and managing PostgreSQL, MySQL, MariaDB, MSSQL, and SQLite databases using the Model Context Protocol. Users can explore database schemas and visualize query results through an integrated web dashboard.
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.
