"Maps and navigation services by TomTom" matching MCP servers:

MCP server that enables LLMs to create and control interactive MapLibre maps by placing markers, drawing paths, and rendering polygons directly in Claude Desktop.

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.

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 turning data into map images of countries, states, provinces, counties, continents, and the world, including choropleths, category maps, and pinned locations.

Enables agents to turn structured data into production-ready static maps, returning rendered PNG and SVG URLs along with an editable map link.

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

MCP server that lets agents create and update persistent concept maps via the NodeLand API, returning shareable URLs for humans to view, embed, and keep editing.

An MCP server that lets Claude or ChatGPT read, create, and edit mind maps stored in a GitHub repository, with support for local and HTTP transport.

Provides live weather radar and text-based radar maps for any location via the get_weather tool, returning structured data and character grid visualizations readable by both humans and LLM agents.

Enables AI agents to drive the kepler.gl demo map by loading data, adding and recoloring layers, changing basemaps, applying time filters, and toggling split views through MCP.

Visualizes conversations as structured hierarchical mind maps by injecting a prompt that instructs the LLM to generate a JSON mind map — no external APIs required.

An MCP server that enables LLMs to create and open diagrams in draw.io using XML, Mermaid, or CSV formats, by building a URL with compressed content and opening it in the browser.

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 to interact with Felt maps programmatically through an MCP server. Supports listing, retrieving details, and creating maps with natural language.

Offline MCP server that queries CSV, Parquet, Excel, and JSON files and generates self-contained interactive HTML reports with reproducible provenance. Built and maintained by an AI agent.

Creates Tableau workbooks from a declarative JSON spec, validates them by opening in the installed Tableau Public application, and publishes to Tableau Public through the desktop UI.

Enables natural-language control of a live ArcGIS Pro session, including layer management, geoprocessing, feature querying and editing, map layout export, and publishing hosted feature services.

Generate 25+ types of hand-drawn Excalidraw diagrams - flowcharts, sequence, architecture, mind maps, ER, UML, kanban, bar/line/radar charts - from structured input with Sugiyama auto-layout and CJK support. Reads and modifies .excalidraw files, exports SVG. Python, local, no API keys required.

Connect QGIS to Claude AI through the Model Context Protocol (MCP), enabling Claude to directly control QGIS — manage layers, edit features, run processing algorithms, render maps, and more.