"Maps" matching MCP servers:

Gives AI assistants map capabilities — geocoding, places search, routing, distance matrices, isochrones and static maps — from Google Maps Platform, OpenStreetMap, open-source routing engines and open geocoders behind one provider-agnostic tool surface. Early development: both stdio and streamable HTTP transports run and a ping tool is exposed, but provider adapters are not yet implemented.

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.

Enables read-only search and spatial analysis across all six Overture Maps themes, with tools for catalog/schema inspection, feature retrieval, spatial joins, summaries, nearest queries, ID resolution, and release comparisons.

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

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

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.

Enables AI agents to visually inspect and validate 3D game maps using Gemini vision and built-in quality checks for geometry, navigation, ecology, and rendering.

Enables flight search and Google Maps directions via SerpApi.

Enables AI assistants to safely explore, query, and analyze PostGIS or Oracle Spatial databases using spatial tools in plain language, with results rendered as maps directly in chat.

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.

Official Codna MCP server with Mojo-powered risk simulation. Maps repos with zero LLM tokens. 5 stdio tools: triage, root-cause analysis and fix plans (optional PRs), SARIF reachability proof, on-device code memory and bug reporting. Introspection needs no credentials; execution requires a one-time free codna login. Source: cli/codna/mcp_server.py. Registry: io.github.thyn-ai/codna.

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

Enables AI agents to scrape Google Maps business leads, including contact details, emails, websites, and social profiles, and export them as CSV or XLSX.

Provides a structured map of 120 practical AI prompts across 6 business domains, enabling users to quickly generate complete prompts for specific tasks using slash commands or tools.

Remote MCP server for geographic data. Free and x402 paid packs all normalized for cross domain joins. Start with get_catalog, then get_pack for details.

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

Enables local AI models to structure and reason through debates using argument maps, with claims and supporting/attacking arguments automatically validated and organized.

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.

Enables AI agents and assistants to extract data from social media, search engines, maps, e-commerce sites, and any other website by running thousands of ready-made scrapers, crawlers, and automation tools as callable tools, with OAuth-based connection and optional agentic payments.

Enables AI agents to search read-only Alibaba (alibaba.ir) travel listings for trains, buses, domestic and international flights, hotels, villas, holiday homes, and tour packages, including prices, availability, seat maps, and cheapest travel days.

MCP server exposing qbit_manage's Web API as tools, so an LLM can read and manage a qbit_manage instance: run maintenance commands on qBittorrent torrents, manage config files, scheduler, logs, security settings, and system state.

Provides role-aware repository maps for LLM agents by analyzing codebases and ranking files within a token budget.

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

Occupation classification and job-title normalization for the O*NET-SOC taxonomy. A fine-tuned retrieve-and-rerank model maps job titles, resumes, postings and skill lists to ranked SOC codes with calibrated confidence. 51% top-1 vs 21% TF-IDF. Python, CLI, REST API, MCP server. Runs locally.