"Air France" matching MCP servers:

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

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

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.

An unofficial MCP server for generating infographics and visuals from text using the Napkin AI API, enabling AI assistants to create professional diagrams, mindmaps, and charts.

Enables AI hosts to generate and open Mermaid diagram links in Markdown files, providing tools for syncing, listing, and injecting diagrams via the Mermaid.ai editor.

Enables Claude or any MCP-compatible client to load, inspect, clean, explore, and visualize datasets, engineer features, and train, compare, and rank machine-learning models through natural language.

Enables AI clients to generate over 26 chart types via MCP, automatically starting a private rendering service.

Enables AI assistants to generate and render individual and composite Human Design charts, explore authorized chart and library data, and manage account usage and Website Builder projects with secure OAuth and entitlement filtering.

Enables AI assistants to build, simulate and read circuits in Cadence AWR Design Environment (Microwave Office) from plain-language prompts, covering element placement and wiring, frequency sweeps and equations, graphs and markers, and simulation result read-back. It also encodes AWR scripting quirks so models avoid silently wrong results.

Enables users to prepare and validate market data, launch and control backtests, and retrieve results, causal explanations, and self-contained reports through stdio tools. It also supports polling or canceling jobs and running sweep, walk-forward, factor, and study research workflows with bounded pagination and reproducible artifacts.

MCP server for AI-driven CAD operations, enabling parametric modeling, build, inspection, measurement, rendering, and diff comparison with STEP, DXF, and GLB export.

Enables asking natural-language questions about WHOOP recovery, sleep, HRV, strain, and workouts inside Claude, Codex, and GitHub Copilot. Provides read-only tools, resources, and prompts for personal health analytics, along with HYROX and triathlon tracking and a local chart-first dashboard.

Opens, inspects, and renders DXF/CAD drawings for AI agents: describe_dxf returns structured facts (layers with actual drawn colors, units, bounds, text content) and render_dxf returns PNG images. On MCP Apps hosts like ChatGPT and Claude, view_dxf opens an interactive in-chat viewer with pan, zoom, and layer toggles.

Enables merchants to generate charts and read-only insights from their food-delivery store inside AI assistant chats, covering sales, payouts, average ticket, fees, menu mix, and ratings through the official API.

Enables AI-native statistical analysis and reproducible research workflows through MCP, including natural language planning, protocol-based analysis, Python/R cross-validation, and publication-ready figure generation.

Enables data analysis and visualization operations such as loading CSV/Excel/JSON files, computing summary statistics, generating charts, and exploring datasets via SSE/HTTP.

Converts plain-English stock requests (e.g. "compare Apple and Microsoft YTD") into validated yfinance/matplotlib scripts, AST-checked and executed in a sandbox to produce chart PNGs. Exposes parsing, saving, execution, and history-listing tools to Claude Desktop and Claude Code through FastMCP, backed by local Ollama/DeepSeek-R1 or cloud Groq/GPT-4o models.

Enables access to public cosmic microwave background power spectra, lensing bandpowers, and LCDM parameter chains from Planck, ACT, and SPT, with tools for chi-squared checks, publication-style plots, and cross-experiment comparisons.

MCP server wrapping the openair R package for air quality data analysis, enabling time series loading, statistical summaries, and publication-ready plots like polar and calendar plots.

Enables AI assistants to authenticate against a cloud geospatial analysis platform, search and inspect its datasets, render them as maps, and compute statistics over specified regions. It exposes these capabilities as MCP tools that can be dropped into any Next.js project via a route-based adapter.

Enables creating surveys, validating questions, collecting responses, and generating analysis reports.

Enables users to retrieve current weather, 24-hour and 7-day forecasts, and European air quality data for cities via Open-Meteo, rendered as an interactive dashboard inside MCP Apps–capable hosts without API keys.

Enables querying and analyzing spectroscopic galaxy survey data, including BAO/RSD compilations with cosmological fits and plots, SDSS SkyServer catalog queries and galaxy properties, and GSWLC-A2 catalog access and crossmatching.

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.

MCP server providing data analytics tools for AI agents to load, clean, analyze data, generate charts and dashboards.

MCP server and ChatGPT/Codex plugin for Persian-language gold market decision support, connecting to WallGold accounts via OAuth to provide live prices, portfolio valuation, multi-dimensional analysis, risk policy, and trade previews.

Automates sales data analysis by cleaning CSV, generating AI insights, creating interactive HTML dashboards, exporting PDF reports, and emailing them, all via MCP tools and multi-model AI fallback.

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.

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.

Enables ham radio operators to render and manipulate an interactive grayline and Maidenhead grid map, add or remove points and highlighted grids, configure map options, and convert grid locators to coordinates with distance and heading from home.

MCP server for A-share stock technical analysis and AI prediction, enabling LLM-based interaction to analyze stocks.

Enables AI applications to discover and connect to Power BI Desktop semantic models, inspect tables, columns, and measures, and validate or execute DAX queries through MCP.

Enables natural-language queries about sales metrics, returning interactive charts inline in chat via MCP Apps with a markdown fallback for unsupported hosts.

Enables controlling Power BI with AI through natural language commands for creating DAX measures, explaining metrics, suggesting KPIs, and organizing models.

Enables users to fetch, analyze, and visualize RAOB upper-air sounding data, including station search, thermodynamic calculations, and Skew-T diagram generation with S3 upload support.

Enables AI agents to create data visualizations like bar charts, line charts, pie charts, scatter plots, and histograms, returning inline SVG or PNG files.

Gives terminal coding agents a local browser canvas for rendering charts, tables, metrics, markdown, live widgets and sandboxed MCP App UIs that would otherwise reach them as raw JSON. Lets agents pose blocking visual multiple-choice questions and read back the user's clicks, selections and an animated architecture map of file activity.

Enables fetching and analyzing public Type Ia supernova Hubble diagrams, including covariance-aware binning, plotting, chi-squared evaluation, and flat LCDM/wCDM/w0waCDM fits with contour comparisons and optional HPC dispatch.

Enables access to and harmonization of public SZ and X-ray galaxy-cluster catalogues, supporting plotting, counts, crossmatching, mass-calibration comparisons, and LCDM cluster-count predictions.

Enables users to fetch, plot, and analyze public weak-lensing data vectors, redshift distributions, covariances, and published chains across DES, KiDS, and HSC surveys. Supports signal-to-noise calculations, S8 constraint comparisons, contour plots, and reproducible survey-analysis workflows.