"Understanding Terminal Applications and Uses" matching MCP servers:

Options analytics an agent can drive: import a permitted chain, solve implied volatility, build a sixteen-Greek ladder, map dealer gamma walls, rank twenty-three structures, run a GARCH-t simulation with a convergence gate, and backtest with modelled premiums. Twelve stdio tools; every output is a schema-validated JSON file with source, assumptions and a degraded flag. Research only, no orders.

Enables LLMs to discover, understand, and generate Teal R Shiny applications for clinical trial data analysis.

MCP server that provides a live, terminal-native layered dependency map for AI coding assistants, with tools to track and visualize development progress in real time.

A comprehensive MCP server that provides complete access to Qlik Sense applications and their detailed information for AI assistants and other MCP clients.

Enables natural-language interaction with Power BI REST API through MCP tools, allowing GenAI applications to access approved business intelligence capabilities and analytics.

Enables LLM/agent applications to execute Stata code, load and inspect data, obtain structured regression results and graphs, and manage background tasks through the Model Context Protocol.

A modern Python MCP server for rendering customizable charts (line, bar, pie, scatter, area, combined dashboards) with Plotly, supporting export to PNG, SVG, and base64, and terminal charts with ANSI output.

Provides advanced charting widgets (uPlot time series, ECharts box plots and parallel coordinates) for Urano Desktop/Cloud via MCP tools that build uiSpec JSON for rendering.

A TypeScript/Node.js MCP server that wraps the Metabase REST API, enabling AI agents to execute queries, explore schemas, and build dashboards through structured tool calls.

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

A stateless MCP server that generates interactive report widgets and survey builder UIs, using MCP Apps for rich visualizations and long-polling for live updates.

Enables AI assistants to interact with Metabase analytics platform, allowing them to query databases, execute SQL, manage dashboards and cards, and access analytics data through natural language.

Enables AI assistants to perform electronic circuit power tree analysis, including opening projects, solving margins, validating designs, editing elements, managing waivers, and exporting reports.

Enables AI agents to perform Black-Litterman portfolio optimization with investor views, backtesting, and asset analysis, generating dashboards for visualization.

Metabase includes a built-in Model Context Protocol (MCP) server that lets AI clients connect directly to a Metabase instance. It uses the Streamable HTTP transport and builds on Metabase's Agent API to expose tools for searching, exploring, querying, and visualizing data — all scoped to the connecting user's permissions.

A Model Context Protocol server offering over 15 chart types with Zod schema validation, enabling type-safe chart generation for applications like Claude AI.

Enables users to ask questions about self-hosted or Cloud Umami Analytics through a secure, model-friendly Model Context Protocol interface, with read-only tools for traffic, conversions, revenue, sessions, events, reports, and performance investigations.

A suite of developer primitives that enable AI applications to integrate with Tableau, including tools to query data, explore content, and get views.

Enables creating interactive tier lists in MCP-compatible chats, ranking options into tiers via drag-and-drop or chat, undoing changes, and exporting results as PNG images.

Provides interactive stock charts and financial data tools using MCP Apps. Enables natural language queries for stock quotes, charts, financials, earnings, and market movers with a free FMP API key.