"Organic Maps" matching MCP servers:

Enables AI assistants to access Google Maps services including places search, details, directions, geocoding, and nearby search through natural language.

Thirteen read-only Google Maps Platform tools for an agent: where a place is, what is around it, how long it takes to get there, and what the conditions are when it arrives.

Enables flight search and Google Maps directions via SerpApi.

MCP server exposing Google Maps Platform to MCP clients with seven tools for geocoding, place search/details, traffic-aware travel times, and time zones. Runs as a local stdio server or a containerized HTTP service with bearer auth, needing only a single API key.

Provides AI agents with structured search results, place details, ratings, and contact info from Google Maps without requiring any API keys.

An MCP server that provides AI agents with geospatial analytics by querying Overture Maps data directly from S3, enabling place analytics, building composition, land use classification, and transportation analysis.

Enables AI assistants to search places, retrieve place details, reviews, photos, business posts, and contributor review histories from Google Maps through natural language, with no API keys or paid billing required.

Provides comprehensive access to Google Maps Platform APIs through MCP, enabling geocoding, places search, routing, and geospatial operations.

Enables fetching comprehensive Google Maps place data, including full metadata and all gallery photos/videos at maximum resolution.

Local macOS MCP servers for Mail, Calendar, Reminders, Notes, Contacts, Messages, Shortcuts, Files, Maps, and system tools. The unified Apple Tools server and individual app servers run over stdio with native macOS permissions; this is an MIT-licensed community project, unaffiliated with Apple.

An advanced MCP server that implements sophisticated sequential thinking using a coordinated team of specialized AI agents (Planner, Researcher, Analyzer, Critic, Synthesizer) to deeply analyze problems and provide high-quality, structured reasoning.

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

Production scrapers and lead extractors for Google Maps, Glassdoor, Airbnb, SEC EDGAR, and public registries via Apify API.

Converts raw HTML into structured, AI-readable page maps with 97% token reduction, enabling agents to read, click, type, and navigate any web page.

Read-only access to a self-hosted GeoLens geospatial catalog: dataset search, schemas, GeoJSON features, saved maps, and sandboxed read-only SQL over PostGIS.

Use 3,000+ pre-built cloud tools from Apify, known as Actors, to extract data from websites, e-commerce, social media, search engines, maps, and more

On-demand micro-mutation sandbox for AI test verification that maps weaknesses in unit tests by running isolated mutation testing via the Model Context Protocol.

A local Git intelligence MCP server that provides deep repository analytics including hotspots, temporal coupling, knowledge maps, churn analysis, and risk scoring for AI agents.

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 maps any repository into architecture diagrams, providing tools for scanning code facts, building import graphs, and generating Mermaid/DOT diagrams, plus architecture rule enforcement for CI.