"Maps" matching MCP servers:

Enables AI assistants to look up travel times for driving, walking and cycling, turn-by-turn directions, multi-stop route plans, place details with opening hours, and map images, all from Google's map data. It works read-only without an API key, billing or a Google account, and renders routes and places as interactive cards in supporting clients.

Enables AI assistants to search places and addresses, compute driving, walking, and kickboard routes, optimize waypoints, and calculate distance and time matrices. Results can be displayed as interactive maps within conversations.

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.

Enables AI agents to perform professional-grade geoprocessing tasks such as buffers, overlays, reprojections, and terrain analysis with deterministic tools and verifiable provenance.

Enables AI agents to validate, inspect, render, and compare MapLibre map styles locally, and to show interactive maps to users in supporting chat apps.

AI reads your codebase like a book - one page at a time. Pharaoh gives it the index and a map of how every chapter connects.

Provides seamless access to TomTom's location services including search, routing, traffic and static maps data, enabling easy integration of precise geolocation data into AI workflows and development environments.

Local server that lets Claude Code and Claude Desktop drive NotebookLM and Google Flow through the user's own logged-in Edge or Chrome session instead of a paid API, covering notebooks, sources, cited answers, Studio outputs (audio/video overviews, slides, reports, mind maps, quizzes) and image/video generation with Veo. It also self-verifies the buttons, menus and internal calls it relies on and reports exactly what the provider changed.

Enables users to create, validate, view, and export system stock-and-flow maps from a versioned JSON model through MCP-capable hosts over local stdio or hosted Streamable HTTP. Supports causal-loop and nested-level mapping while keeping submitted model content with the caller and requiring no LLM provider key.

A batteries-included Python template that ships a shared service registry as a CLI, MCP server, and HTTP API, enabling rapid development of MCP tools like the included Gmail skill.

Records and visualizes evidence from a coding agent's own testing tools in a private local workspace, with live activity, domain charts, screenshot maps, findings, reproduction steps, human priorities, and persisted testing preferences. Runs 54 bundled CARBON command workflows over local stdio and serves a loopback-only visual workspace with strict evidence and permission gates.