"Server Fault" matching MCP servers:

Enables rendering, validation, formatting, and inspection of D2 diagrams via the Model Context Protocol, using WASM for rendering without requiring the d2 binary.

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

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.

MCP server for AI Diagram Maker — generate software engineering diagrams from natural language, code, ASCII diagram, images, or Mermaid. Inline diagram rendering using MCP apps UI and diagram URL in responses. Works with Cursor, Claude Desktop, Claude Code, and any MCP-compatible AI.

Generates and downloads charts using QuickChart.io through Claude Desktop and other MCP clients.

Generate annotated post-trade candlestick review-chart PNGs from broker or exchange fills. Includes capability checks, no-charge preflight validation, and chart rendering; no signals or order execution.

Enables agents to validate climate-processing configurations, inspect sample CSV data, and run a deterministic pipeline that aggregates daily records into monthly summaries and plots, with sandboxed paths and isolated outputs.

Enables LLMs to safely execute pandas code for data analysis and generate interactive visualizations through the Model Context Protocol.

A Model Context Protocol server for interacting with Lightdash, enabling AI assistants to discover data, create charts, and manage dashboards programmatically.

Wraps a climate data-processing pipeline so agents can inspect the config schema and available sample CSVs, validate an inline JSON config, and run the pipeline to return a monthly summary table plus a rendered plot, with file access sandboxed to the data and outputs directories.

A FastMCP server that turns JSON data into Plotly figures, deployable as an isolated service on Modal. Data goes in as JSON; a validated Plotly figure (JSON) or a rendered PNG comes back over the Model Context Protocol.

Generates beautiful Excalidraw diagrams from natural language descriptions using a local llama.cpp LLM, entirely offline.

Enables AI agents to render interactive user interfaces such as forms, dashboards, charts, tables, and wizards directly in MCP-compatible clients. Supports structured data collection and richer interactions beyond text responses.

Enables creating scheduled Gantt charts with critical-path analysis from any MCP client using plain-language task descriptions, with no account or API key required.

Enables AI assistants to analyze vibration data, detect machinery faults, and generate professional diagnostic reports through natural conversation.

Enables creating and deploying KoboToolbox XLSForm questionnaires, managing data collection, analyzing submissions, and generating Excel, Word, and PDF deliverables directly from a Claude conversation.

Educational MCP server with 17 tools for mathematical calculations, matrix operations, statistical analysis, and data visualization. Includes persistent workspace, cloud hosting, and safety features like restricted eval.

MCP server for generating properly aligned ASCII, Unicode box-drawing, and Markdown tables, with correct width measurement for Thai, Pali, and CJK characters using wcwidth.

TableCharts MCP Server gives any LLM assistant the ability to instantly convert tabular data into beautiful, hosted, interactive dashboards. Simply provide JSON rows, raw CSV text, or a public URL (Notion page, Google Sheet, or Salesforce report), and get back a shareable dashboard URL plus an embeddable iframe code — all in one tool call. Supports 6 chart types: bar, line, area, pie, scatter, a

Enables Claude to build and manage Zuar Portal HTML blocks through the Portal REST API, including discovering datasources, previewing data, and performing CRUD operations on blocks.