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

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.

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.

A Model Context Protocol server that provides a dynamic map interface with tools to add raster/vector layers, control map view, and modify paint properties.

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

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.

Provides football analytics tools including player scouting, comparisons, market-value filters, expected-goals tables, match-by-match form, team attacking profiles, match search, shot maps, and more for 10 leagues.

Enables Claude to work with QGIS 4.x headlessly by loading vector and raster layers, running Processing algorithms and field calculations, styling layers, and exporting maps or PDF layouts without opening QGIS Desktop.

Analyzes traffic patterns throughout the day using Google Maps API and provides visual insights and recommendations for optimal commute times.

Enables creating themed SVG maps, GeoJSON data, projections, React components, and embeddable map builders through natural language requests.

Converts structured Markdown into ProcessOn mind maps via API, enabling AI agents and tools to create mind maps programmatically.

Enables users to visualize and interact with Claude's chain-of-thought reasoning from extended thinking traces, turning them into interactive reasoning maps with typed moves, dependency graphs, timelines, and replay mode.

Exposes semiconductor wafer analysis tools including wafer maps, P-charts, and statistical plots, enabling AI assistants to visualize and analyze wafer test data.

Converts Markdown text into interactive mind maps, supporting export as PNG, JPG, and SVG images.

Enables interactive kepler.gl maps to render inside MCP host chats and lets agents control them through map tools such as loading data, adding layers, and switching basemaps.

Enables ChatGPT users to explore a read-only US Census county atlas through MCP tools: select a county, ask questions about it, look up real Census town and place anchors, render voxel-style county maps with pan/inspect/pin interactions, and keep session-only notes in the chat. Covers the playable Riverside/Eastvale slice plus generated maps for all 3,222 supported counties, with honest labeling of generated geography outside the curated area.

Enables agents to create, customize, analyze and export relationship diagrams — theorem dependencies, paper maps, task RACI, org charts, conversation graphs — through 25 MCP tools, with cycle detection, centrality bottleneck reports, dependency closure and Mermaid/DOT/Markdown/JSON interop. Graphs stay local-first in a diff-friendly JSON source of truth and can be refined on a visual canvas.