"Information on Air Quality Index (AQI)" matching MCP servers:

Enables real-time air quality comparison between two cities through natural language, with an interactive dashboard widget for pollutant analysis.

Enables engineering leaders to query their AI assistant for quality KPIs — MTTR, MTTA, DORA metrics, defect escape rate and SLA breaches — computed from Jira bug, incident and deployment CSV exports already on hand. It delivers trends, period comparisons, hotspot findings and ready-to-share executive summaries and HTML dashboards without a BI stack or data warehouse.

A clean-room SHARP-on-MCP compliant FHIR R4 MCP server that enables AI agents to interact with any FHIR R4 endpoint using SHARP context headers, without server-side OAuth. It provides clinical tools, lab results, imaging, and interactive MCP-UI dashboards.

Enables AI agents to run a full QFD session over the Model Context Protocol: build and edit a House of Quality (stakeholder needs, measurable characteristics, relationship cells, trade-off roof, work items), validate it, and read back priorities, gates, the diagonal build order and item progress. It also exports the house as TSV, CSV, JSON, SVG or an Excel workbook, with optional file persistence so a person can keep editing where the agent left off.

MCP server for air-Q air quality sensors, enabling querying and configuring devices on the local network.

Calculates Taiyi Shenshu (太乙神數) based on a given datetime and returns structured text and a board PNG image.

MCP server for generating diagrams, charts, and visualizations using Gemini image generation on Vertex AI. Supports auto-detection of diagram types, multiple style modes, and iterative refinement.

Computes biorhythm values (physical, emotional, intellectual) and generates a PNG chart showing sine curves based on birth date and optional target date.

Enables RF and microwave engineers — or any MCP client — to convert impedances, analyze transmission lines and ladder circuits, synthesize L/Pi/T/stub/quarter-wave matching networks, and evaluate transistor S-parameters, stability, gain and noise circles. It also renders publication-quality Smith charts and returns human-readable summaries in English or Turkish over stdio or Streamable HTTP.

Data-visualization MCP server for ROOT Workspace. It enables creating and iterating on charts (Vega-Lite, Python plots) with a persistent kernel and vision loop.

Enables MCP clients to teach on a view-only local browser chalkboard by drawing equations, plots, molecules, diagrams, and science illustrations step by step, with snapshots and saved lessons.

Enables AI to analyze trade quality by fetching real price action around fills, generating annotated candlestick charts, and computing metrics like MAE/MFE, R-multiple, and capture efficiency.

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.

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

Generates publication-quality charts and diagrams from natural language descriptions directly within Claude.

A review-only MCP server that provides tools for reviewing trade records against a live TradingView Desktop chart over Chrome DevTools Protocol on localhost.

Enables AI assistants to control Origin/OriginPro on Windows, including data import, worksheet editing, graphing, analysis, and figure export.

Provides AI models with structured design guidelines and system prompts for creating consistent, high-quality interactive visualizations like charts, diagrams, and mockups. It enables on-demand loading of UI specifications to optimize token usage while ensuring visually polished and functional widget generation.

Enables AI agents to drive IBM SPSS Statistics for statistical analysis and publication-quality chart generation through natural language, returning structured results and ensuring safe execution.

An MCP server for Exploratory Data Analysis that automatically profiles datasets, detects quality issues, PII, bias, and leakage, and provides cleaning and export workflows. It helps data scientists quickly understand and prepare unknown data for modeling.

Enables Claude to drive Golden Software Surfer 13+ on Windows: interpolating XYZ data into grids, building structural contour maps, geological cross-sections and 3D surface views, and exporting documents to PNG, JPG, PDF, TIF, SVG, EMF or .srf projects. It also lists, saves and closes open Surfer documents.

Enables automated, reproducible first-order hydrodynamic analysis through parametric geometry, mesh and static-equilibrium quality gates, and asynchronous solver runs that return six-DOF RAO amplitudes and phases.

Enables AI assistants to read, write, format, and analyze Excel files with 34 tools, including real-time editing on macOS with Microsoft Excel.

MCP Analytics is an MCP server for business and statistical questions about your data. A tested statistical method runs on your data and returns charts and a written report. Every report names its method and the code that ran, and runs again on new data.

Enables Claude to create, read, edit, animate, review, and export Apple Keynote presentations on macOS with configurable themes, real LaTeX equations, and scientific charts. It works on copies in a dedicated workspace, supports PDF/PPTX/image/video/HTML/GIF export, and includes automated presentation review for layout and formatting issues.

Enables AI assistants to create, edit, and export IFC5/IFCX building information models through natural language, handling spatial structure, elements, geometry, metadata, validation, and export.

Enables AI assistants to validate, simulate and translate contingency-dsl reinforcement schedules, converting between DSL expressions and Method-section prose and summarizing or analyzing recorded session logs without hand-writing FR/VI generators. Runs simulations on a virtual clock for reproducible results and returns structured output for every tool.

Provides an MCP interface for publication-quality chemical structure and reaction rendering from SMILES/InChI/molblock, with validation and name parsing. Enables AI agents to draw molecules and reactions as images.

Enables AI clients to render a workspace from a table by selecting an appropriate widget and DataProfile based on a user intent, then returning a chart view with a signed data link.

Enables generating publication-quality academic diagrams and statistical plots from text descriptions within IDEs, with support for multiple AI providers and iterative refinement.