"Paradox Interactive" matching MCP servers:

Turn any CSV into a stunning interactive dashboard with one command — works as CLI, MCP server, or AI skill

AI-powered MCP server for connecting and managing Jupyter Notebooks. Enables interactive code execution, multi-notebook management, and multimodal output for data analysis, visualization, and machine learning.

Renders 45+ interactive chart types, dashboards, and KPI widgets directly inside AI conversations. Supports drill-down, live API polling, 20 themes, and one-click export to PNG, PowerPoint, and A4 documents.

Provides tools for interacting with Interactive Brokers Gateway to access market data, account summaries, and portfolio positions. It enables users to perform contract lookups, retrieve historical OHLCV bars, and view real-time quotes through natural language interfaces.

An MCP server that enables advanced CSV analysis and data visualization using Google's Gemini AI and Plotly. It allows users to perform exploratory data analysis, generate interactive charts, and conduct complex reasoning on tabular data.

Enables creating interactive data visualizations from natural language queries using DuckDB for local databases or Databricks for enterprise data warehouses. Supports multiple chart types, CSV imports, SQL queries, and automatic statistical analysis through Claude Desktop.

An experimental multimodal AI data infrastructure that allows users to manage tables, run local AI analysis like object detection, and automate data workflows. It includes an interactive Python REPL and introspection tools for exploring Pixeltable functions directly through Claude or Cursor.

An interactive tool for visualizing and managing budget allocations across business categories with real-time charts and industry benchmarks. It allows users to adjust spending distributions and compare them against historical trends and startup stage data.

A Windows-optimized server providing universal data analytics for JSON and CSV files through over 32 tools including schema discovery and interactive visualizations. It is specifically designed for seamless integration with Claude Desktop on Windows.

Fetches and normalizes investment portfolio data from eToro and Interactive Brokers (IBKR), enabling AI agents to consolidate, aggregate, and visualize holdings across brokers.

Provides automated data visualization and analysis tools that intelligently select from over 40 chart types based on data structure and patterns. It enables users to generate statistical insights, interactive dashboards, and professional reports in HTML, PNG, and Word formats.

An AI-driven data visualization and SQL chat platform that enables natural language to SQL conversion, interactive chart generation, and database querying through a comprehensive MCP interface. Supports multiple databases, intelligent chart recommendations, and secure data management with temporary link sharing.

A Model Context Protocol server for intelligent Excel processing and data analysis, offering tools for reading, validating, executing code, and generating interactive visualizations with Excel files.

Enables comprehensive analysis of Apache Spark event logs from S3, HTTP, or local sources, providing performance metrics, resource monitoring, shuffle analysis, and automated optimization recommendations with interactive HTML reports.

Enables comprehensive analysis of Interactive Brokers portfolios through automated data fetching and multi-dimensional analytics. Provides performance, tax, cost, risk, and bond analysis across multiple accounts with rich reporting capabilities.

An MCP server that gives AI assistants the ability to connect to, query, profile, and monitor data sources — turning any LLM into an interactive data engineering copilot.

The world's first AI-to-3D data visualization bridge. An MCP server with 75 tools that lets any AI assistant transform raw data into interactive 3D spatial visualizations via Flow Immersive.

A conversational copilot that guides users through the Knowledge Discovery in Databases (KDD) process to perform automated data profiling, analysis, and modeling via natural language. It enables the creation of interactive dashboards and manages the end-to-end analytical workflow within a secure sandbox environment.

Enables random number generation with statistical analysis, CSV data storage, and data visualization capabilities. Provides interactive prompts for creating test datasets, analyzing data quality, and managing reproducible random data workflows.

Logs LLM interactions to local CSV or Markdown files with automatic categorization for detailed tracking. It provides an interactive HTML dashboard to visualize query volume, model usage, and category distribution.