"Paradox Interactive" matching MCP servers:

Enables natural-language querying of PostgreSQL databases with schema grounding and self-correcting error recovery. Provides a live audit trace and verifies results through exploratory decomposition and empty-result sanity checks.

Enables WorkBuddy to analyze local CSV and Excel files through AVA, loading data sources, inspecting schemas, running read-only SQL queries, managing business definitions, and rendering verified results as interactive HTML charts with saved artifacts. It also checks the runtime environment and runs a built-in sample demo so users can verify totals, per-dimension contributions, and the queries behind each conclusion.

Offline MCP server that queries CSV, Parquet, Excel, and JSON files and generates self-contained interactive HTML reports with reproducible provenance. Built and maintained by an AI agent.

A Python-based MCP server for interactive PostgreSQL data exploration, schema discovery, and safe SQL execution with support for stored procedures. It also enables automation through external HTTP API requests and local bash script execution on Fedora and Linux systems.

Enables reverse engineering of database tables into Spring Boot projects with AI-enhanced naming and code generation, providing interactive visualizations and workflow orchestration.

Enables exploration and analysis of Azure infrastructure by querying Azure Resource Graph, ARM, and Network Watcher APIs to create interactive topology maps. Provides tools for searching resources, discovering relationships, finding connectivity paths, and visualizing complete Azure infrastructure topologies.

WhoDB CLI - a powerful database management tool with interactive TUI, programmatic commands, and MCP server for AI assistants.

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.

MCP server for exploring and querying Supabase databases with interactive React widgets for schema browsing, table viewing, and SQL execution.

Enables geospatial analysis through eight MCP tools, durable workspaces, PostGIS querying, interactive MapLibre and Origo maps, and downloadable GIS exports.

Enables connecting to any SQL database, exploring schemas, running queries, and visualizing results with interactive charts from Claude Desktop.

Enables querying Supabase-backed S&P 500 data through MCP tools for company info, annual financials, historical OHLCV prices, news sentiment, officers, and SEC filings. Includes embedded MCP App UI resources plus elicitation and sampling support for interactive, client-assisted workflows.

OrionBelt Analytics is an MCP server that analyzes relational database schemas and generates RDF/OWL ontologies with embedded SQL mappings. It provides relationship-aware Text-to-SQL with automatic fan-trap prevention, GraphRAG for intelligent schema discovery, and interactive charting -- all accessible through any MCP-compatible AI client.

Enables querying S&P 500 company fundamentals, annual financial metrics, historical daily prices, news sentiment, executive officers, and SEC filings stored in Supabase, with interactive UI resources for browsing and testing the tools. Ambiguous company names are resolved through elicitation when the client supports it.

Enables AI coding assistants to audit datasets against DAMA-DMBOK quality dimensions, sanitize PII, generate differential-privacy synthetic twins, compress prompt context, and export dbt schema tests and interactive HTML reports. It supports development against sensitive data with zero real records exposed to external LLMs.

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.

Enables AI assistants to create interactive charts, diagrams, and tables displayed on a real-time dashboard, supporting multiple data sources with privacy-focused local execution.

An interactive chat interface that combines Ollama's LLM capabilities with PostgreSQL database access through the Model Context Protocol (MCP). Ask questions about your data in natural language and get AI-powered responses backed by real SQL queries.

MCP server demonstrating elicitation for booking appointments and an interactive MCP App for viewing appointments with SQLite persistence.

Enables querying daily Oura Ring metrics from a self-hosted Postgres warehouse and rendering interactive trend charts inline in compatible MCP hosts, with text summaries for hosts that lack chart support.

A powerful MCP server for Supabase that provides interactive tools and React widgets for exploring and querying your Supabase database.

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.

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.

Connects Claude to Microsoft Dataverse for everyday record operations like listing, creating, updating, and deleting records, with interactive authentication and caching.

Enables conversational spatial SQL queries in plain English, turning natural language questions into validated PostGIS operations and rendering results as GeoJSON on an interactive map.

Manages query validation, database connection, and security for a system that transforms SQL databases into interactive dashboards using natural language queries.

A server that powers an interactive chatbot for querying and managing tax alerts in a SQLite database using Google Gemini models and LangGraph's REACT agent framework.

Parse and query investment statements from multiple institutions (Questrade, Interactive Brokers, Scotia) using natural language or structured queries. Supports semantic search for dividends, holdings, transactions, and account balances with hybrid SQLite and vector database storage.

Enables agents and users to run interactive, one-question-at-a-time quiz sessions over stdio or HTTP, backed optionally by a MySQL database. Exposes tools for registering users, fetching questions, validating answers, generating leaderboards, and reviewing responses.

Local-first MCP server for querying Anthology Illuminate data in Snowflake, with interactive MCP App dashboards that render directly in the conversation.