"Reading terminal outputs from a Next.js dev server while developing in Cursor" matching MCP servers:

Enables creating Plotly charts from natural language in Cursor, supporting a wide variety of trace types with full customization.

MCP server that renders bar, line, and pie charts from data using QuickChart, returning PNG file paths.

A local Python MCP server for AI-assisted development of Yandex DataLens dashboards, enabling inspection, planning, validation, and guarded application of changes.

A local, fully vectorized computational engine for stock market analysis that enables AI to perform factor calculation, strategy backtesting, IC analysis, and GPU-based multi-dimensional visualization using local DuckDB data.

Enables local Power BI project (.pbip) automation, including model (TMDL) and report (PBIR) layer manipulation, without cloud dependencies. Provides 56 tools for building, editing, and validating reports and measures through natural language prompts.

Enables AI agents to visualize tasks on a collaborative Sketchbord whiteboard by composing content into diagrams, editing them incrementally, and reading back the board including user-drawn additions.

Provides AI agents with 20 tools to create, read, edit, validate, convert, and render documents across formats like DOCX, XLSX, PPTX, PDF, Markdown, HTML, and CSV, including charts, diagrams, templates, and CSV data operations over stdio.

An HTTP MCP server for exploring CSV files that masks PII before any code execution, enabling safe data analysis with local or cloud LLMs.

MCP (Model Context Protocol) server that exposes the okama investment portfolio toolkit to AI assistants — Claude Desktop, Claude Code, Cursor, Codex, and any other MCP-compatible client.

Controls TradingView Desktop charts, Pine Script, indicators, and backtesting via Chrome DevTools Protocol.

Enables AI assistants to drive a live TradingView chart in Chrome, turning natural-language trading ideas into compiled Pine Script indicators, adding them to charts, and reading back results. It also supports chart navigation, indicator management, screenshots, and strategy tester backtest results.

Enables AI assistants to control a logged-in TradingView chart in Chrome, including writing and compiling Pine Script indicators, adding them to charts, changing symbols and timeframes, capturing screenshots, and retrieving strategy tester results.

Embeds live, interactive Tableau dashboards in ChatGPT, pushing mark selections to the model so questions about specific data points are answered with live queried numbers.

Renders word-sized charts — sparklines, bars, bullets and 100+ more types — to self-contained SVG with generated alt text, small enough to sit inline in a model's reply or a table cell. Three tools: find the right chart for a question, get its wiring, and render it.

MCP server that lets agents create, display, and export rich UI widgets (cards, dashboards, charts, forms) inline in conversations, with interactive iframe support in MCP Apps hosts and PNG image fallback for other clients.

MCP server for creating interactive Vega-Lite data visualizations that render inline in chat via MCP Apps.

A unified Model Context Protocol server for data engineering and analytics that lets LLM clients query, profile, transform, and visualize data using DuckDB and PySpark, while keeping raw data out of the model's context through read-only, bounded, and audited operations.

An MCP server that lets Claude analyze your TradingView charts by reading the window and taking screenshots, with no write tools or trade execution.

A read-only, cross-platform visualization layer for Cortex that renders memory, sessions, and code into six live reading angles (graph galaxy, 3D anatomical brain, execution trace, consolidation board, knowledge browser, and wiki) without ever writing a memory.

Provides AI agents with read-only access to live chart context, candles, drawings, indicators, and provider status from the MyLinedChart desktop app, all running locally.