Google Maps MCP Server

MCP ServerFree

Access Google Maps geocoding, directions, and place data via MCP.

Open Source

/ 100

9 capabilities

Capabilities9 decomposed

mcp-native geocoding with forward and reverse address resolution

Medium confidence

Exposes Google Maps Geocoding API through MCP tool primitives, enabling LLM agents to convert addresses to coordinates (forward geocoding) and coordinates to addresses (reverse geocoding) via standardized JSON-RPC tool calls. Implements the MCP Tools capability pattern, wrapping Google's geocoding endpoints with schema-based parameter validation and structured JSON responses that integrate seamlessly into agent reasoning loops.

Solves for

I need my AI agent to convert a user-provided address into latitude/longitude for downstream location processingI want to reverse-lookup a coordinate pair to get the human-readable address for a locationI need to batch-geocode multiple addresses within an agent workflow without leaving the MCP context

Best for

AI agents building location-aware applications

Teams integrating Google Maps into LLM-powered workflows without custom API wrappers

Developers prototyping location services in Claude or other MCP-compatible clients

Requires

Google Cloud project with Maps Platform enabled

API key with Geocoding API access (billable service)

MCP client compatible with tool calling (Claude, Anthropic SDK, or compatible LLM)

Limitations

Rate-limited by Google Maps API quotas (default 50 QPS for standard tier)

Requires valid Google Maps API key with Geocoding API enabled — no fallback to free tier

Reverse geocoding accuracy varies by region; some coordinates may return approximate addresses

What makes it unique

Official MCP server implementation that wraps Google Geocoding API as a standardized MCP Tool, enabling agents to call geocoding without custom HTTP clients or API key management — the server handles authentication and response marshaling transparently

vs alternatives

Unlike direct REST API calls, this MCP integration allows Claude and other MCP clients to invoke geocoding as a native tool with schema validation, reducing boilerplate and enabling seamless multi-step agent workflows

directions and routing with multi-mode support via mcp tools

Medium confidence

Exposes Google Maps Directions API through MCP tool interface, enabling agents to compute optimal routes between origin and destination with support for driving, walking, bicycling, and transit modes. Implements route optimization with waypoint support, real-time traffic conditions, and alternative route suggestions. The server marshals complex routing parameters (departure time, traffic model, avoid restrictions) into MCP tool schemas and returns turn-by-turn instructions, distance, duration, and polyline geometries.

Solves for

I need my agent to calculate the fastest route between two locations considering current trafficI want to generate delivery routes with multiple waypoints and compare transit vs driving timesI need to embed routing logic in an agent that can explain directions in natural language

Best for

Logistics and delivery optimization agents

Travel planning assistants that need real-time routing

Multi-modal transportation agents comparing driving, transit, and walking options

Requires

Google Cloud project with Directions API enabled

API key with Directions API access (billable service)

MCP client that supports tool calling with complex parameter schemas

Limitations

Directions API has stricter rate limits than Geocoding (100 QPS for standard tier)

Transit directions require explicit departure_time parameter; real-time predictions not available for all regions

Polyline geometries returned as encoded strings — agents must decode or use client-side libraries

What makes it unique

Wraps Google Directions API as an MCP tool with native support for all transport modes and real-time traffic integration, allowing agents to reason about multi-modal routing without external API orchestration

vs alternatives

Compared to calling Directions API directly, this MCP server abstracts authentication, response parsing, and polyline decoding, enabling agents to focus on routing logic rather than API mechanics

place search with text and nearby query support

Medium confidence

Exposes Google Maps Places API Text Search and Nearby Search endpoints through MCP tools, enabling agents to discover locations by name, category, or proximity. Implements location-based discovery with ranking by relevance or distance, pagination support, and optional filters (type, open_now, price_level). The server handles place search queries as structured tool calls and returns place IDs, names, ratings, and formatted addresses for downstream place details lookups.

Solves for

I need my agent to find nearby restaurants, hotels, or services within a radius of a coordinateI want to search for a specific place by name and get its location and basic infoI need to filter search results by business type, rating, or open status for a travel agent

Best for

Travel and hospitality agents that need location discovery

Local business search integrations

Proximity-based recommendation systems

Requires

Google Cloud project with Places API enabled

API key with Places API (New) access (billable service)

Search query (text) or location + radius (nearby)

Limitations

Text Search returns up to 20 results per query; pagination requires manual offset management

Nearby Search limited to 60,000 requests per day (stricter quota than other APIs)

Results include only basic place info (name, address, rating); detailed info requires separate Place Details call

What makes it unique

Official MCP integration of Places API Text and Nearby Search, enabling agents to discover locations without managing pagination, API keys, or response parsing — the server abstracts the complexity of multi-result place discovery

vs alternatives

Unlike direct REST calls, this MCP tool allows agents to chain place search with place details in a single workflow, with automatic pagination handling and structured schemas

place details retrieval with comprehensive business information

Medium confidence

Exposes Google Maps Place Details API through MCP tools, enabling agents to fetch comprehensive information about a specific place using its place_id. Returns structured data including business hours, contact info, photos, reviews, type hierarchy, and formatted address. Implements caching-aware tool design where agents can request specific fields to optimize API usage and response size, reducing unnecessary data transfer.

Solves for

I need my agent to get full details (hours, phone, website) for a place found via searchI want to retrieve reviews and ratings for a location to inform user recommendationsI need to fetch business hours and check if a place is currently open

Best for

Travel and hospitality agents that need rich place information

Customer service bots that provide business details

Location-based recommendation systems requiring detailed business info

Requires

Google Cloud project with Places API enabled

API key with Places API (New) access

Valid place_id from prior search, geocoding, or place autocomplete

Limitations

Requires place_id from prior search or geocoding — cannot query by address alone

Photos and reviews are paginated; full review history requires multiple API calls

Business hours may not reflect holidays or special closures

What makes it unique

MCP tool wrapper for Place Details API with field-level optimization support, allowing agents to request only needed data fields and reduce API costs — the server abstracts field selection and response marshaling

vs alternatives

Compared to direct API calls, this MCP integration enables agents to chain place search → place details in a single workflow with automatic place_id passing and structured response validation

elevation data retrieval for coordinates and paths

Medium confidence

Exposes Google Maps Elevation API through MCP tools, enabling agents to query elevation (altitude) data for specific coordinates or along a path. Supports both point elevation queries and path-based elevation profiles with configurable sample density. Returns elevation in meters with location coordinates, enabling agents to analyze terrain, plan hiking routes, or assess geographic features without external elevation data sources.

Solves for

I need my agent to get elevation data for a coordinate to assess terrain difficultyI want to generate elevation profiles along a hiking or cycling routeI need to check if a location is at high altitude for weather or logistics planning

Best for

Outdoor activity planning agents (hiking, climbing, cycling)

Geographic analysis and terrain assessment tools

Environmental and climate-aware logistics systems

Requires

Google Cloud project with Elevation API enabled

API key with Elevation API access (billable service)

Valid coordinates (latitude, longitude pairs)

Limitations

Elevation API has lower resolution than specialized DEM (Digital Elevation Model) services — accuracy ±10m typical

Path elevation queries limited to 512 samples per request; long routes require segmentation

No support for bathymetric (underwater) elevation data

What makes it unique

Official MCP integration of Elevation API, enabling agents to incorporate terrain analysis into routing and planning workflows without external elevation data sources or coordinate transformation logic

vs alternatives

Unlike standalone elevation APIs, this MCP tool integrates seamlessly with Google Maps routing and geocoding, allowing agents to chain elevation queries with directions for terrain-aware route planning

distance matrix computation for multi-point routing analysis

Medium confidence

Exposes Google Maps Distance Matrix API through MCP tools, enabling agents to compute distances and travel times between multiple origins and destinations in a single request. Supports all transport modes (driving, walking, bicycling, transit) with real-time traffic conditions and departure time parameters. Returns a matrix of distances and durations, enabling agents to optimize delivery routes, compare travel options, or analyze accessibility without multiple individual routing calls.

Solves for

I need my agent to compute travel times between 5 delivery locations and a warehouseI want to find the closest facility to a user's location among multiple optionsI need to analyze accessibility by comparing travel times across different transport modes

Best for

Logistics and delivery optimization agents

Facility location and accessibility analysis

Multi-destination travel planning and comparison

Requires

Google Cloud project with Distance Matrix API enabled

API key with Distance Matrix API access (billable service)

At least one origin and one destination (addresses, coordinates, or place IDs)

Limitations

Limited to 25 origins × 25 destinations per request (625 elements max); larger matrices require multiple calls

Transit mode requires explicit departure_time; real-time predictions not available for all regions

Results are symmetric only for driving mode; walking/transit times may differ by direction

What makes it unique

MCP tool wrapper for Distance Matrix API that enables agents to compute all-pairs routing in a single call, eliminating the need for N×M individual routing requests and reducing API costs by up to 625x

vs alternatives

Compared to calling Directions API repeatedly, this MCP tool provides bulk distance/duration computation in a single request, enabling agents to solve vehicle routing problems more efficiently

mcp tool schema validation and error handling for google maps api responses

Medium confidence

Implements standardized MCP tool schema validation and error handling across all Google Maps capabilities, translating Google API errors (quota exceeded, invalid parameters, service unavailable) into structured MCP error responses. The server validates input parameters against tool schemas before making API calls, reducing wasted quota and providing immediate feedback to agents. Handles rate limiting gracefully with retry-able error codes and implements exponential backoff for transient failures.

Solves for

I need my agent to gracefully handle API quota exhaustion without crashingI want clear error messages when invalid parameters are passed to location toolsI need my agent to retry failed requests automatically without manual intervention

Best for

Production agents requiring robust error handling

Teams building location services with quota constraints

Developers debugging agent workflows with detailed error context

Requires

MCP client that supports error response handling

Valid Google Maps API key with appropriate service quotas

Understanding of Google Maps API error codes and rate limits

Limitations

Schema validation happens client-side; some Google API errors only surface after API call

Retry logic is server-side only — client-side retry policies may conflict

No built-in circuit breaker for cascading quota exhaustion across multiple tools

What makes it unique

Official MCP server implementation with standardized error handling that translates Google Maps API errors into MCP-compliant error responses, enabling agents to distinguish between parameter errors, quota limits, and service unavailability

vs alternatives

Unlike direct API clients, this MCP server provides unified error handling across all Google Maps tools, reducing boilerplate error handling code in agents

mcp transport abstraction for google maps api communication

Medium confidence

Implements MCP transport layer abstraction that handles JSON-RPC communication between MCP clients and the Google Maps server, supporting both stdio and HTTP transport mechanisms. The server manages API key injection, request routing to appropriate Google Maps endpoints, and response marshaling back to MCP-compliant JSON structures. Abstracts away HTTP client complexity, authentication header management, and connection pooling for efficient API communication.

Solves for

I need my MCP client to communicate with Google Maps APIs without managing HTTP connectionsI want to use Google Maps tools in Claude or other MCP clients without custom transport codeI need to deploy the Google Maps server in different environments (local, Docker, cloud)

Best for

MCP client developers integrating Google Maps capabilities

Teams deploying MCP servers in containerized environments

Developers building multi-server MCP setups with Google Maps as one capability

Requires

Node.js 18+ (TypeScript implementation)

MCP SDK for transport implementation

Google Maps API key in environment or config

Limitations

Stdio transport limited to single client connection; HTTP transport requires separate server process

No built-in load balancing for multiple concurrent requests — single server instance may bottleneck

API key must be provided via environment variable or config file; no dynamic key rotation

What makes it unique

Official MCP server implementation using the MCP SDK's transport abstraction, enabling seamless integration with MCP clients through standardized JSON-RPC protocol without custom HTTP client code

vs alternatives

Compared to building custom HTTP wrappers, this MCP server provides native MCP protocol support with automatic request/response marshaling and error handling

error handling and api response normalization

Medium confidence

Translates Google Maps API errors and responses into consistent MCP error and result formats. The server catches API failures (rate limits, invalid requests, service errors), maps them to appropriate MCP error codes, and provides normalized error messages. Handles partial failures in batch operations and returns structured error details that enable agents to implement retry logic or fallback strategies.

Solves for

Gracefully handle API rate limiting and communicate quota exhaustion to agentsProvide clear error messages when requests are invalid (bad coordinates, missing fields)Enable agents to distinguish between retryable errors (temporary) and permanent failuresReturn consistent error formats across all Google Maps tools

Best for

Agents implementing robust error handling and retry logic

Production systems requiring observability into API failures

Teams debugging integration issues

Requires

MCP client capable of handling error responses

Proper error handling in agent logic

Limitations

Error messages depend on Google's API response format; some errors may be opaque

No built-in retry logic; agents must implement their own exponential backoff

Rate limit errors don't include reset time; agents must guess retry intervals

What makes it unique

Normalizes Google Maps API errors into MCP error format, providing agents with consistent error semantics across all tools. Distinguishes between retryable and permanent failures, enabling intelligent error recovery.

vs alternatives

More consistent error handling than raw API client usage; MCP error format enables standardized agent error handling across multiple tools; clearer error messages than raw HTTP status codes

Capabilities are decomposed by AI analysis. Each maps to specific user intents and improves with match feedback.

Related Artifactssharing capabilities

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MCP Server28

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mcp-based amap geocoding and reverse geocodingmcp-based amap poi search and discoverymcp-based amap route planning and distance calculation

3 shared capabilities

MCP Server20

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MCP Server29

@mapbox/mcp-server

Mapbox MCP server.

mapbox geocoding service exposure via mcp protocolmapbox directions and routing via mcp

2 shared capabilities

Best For

✓AI agents building location-aware applications
✓Teams integrating Google Maps into LLM-powered workflows without custom API wrappers
✓Developers prototyping location services in Claude or other MCP-compatible clients
✓Logistics and delivery optimization agents
✓Travel planning assistants that need real-time routing
✓Multi-modal transportation agents comparing driving, transit, and walking options
✓Travel and hospitality agents that need location discovery
✓Local business search integrations

Known Limitations

⚠Rate-limited by Google Maps API quotas (default 50 QPS for standard tier)
⚠Requires valid Google Maps API key with Geocoding API enabled — no fallback to free tier
⚠Reverse geocoding accuracy varies by region; some coordinates may return approximate addresses
⚠No built-in caching — repeated geocoding of same address incurs API costs
⚠Directions API has stricter rate limits than Geocoding (100 QPS for standard tier)
⚠Transit directions require explicit departure_time parameter; real-time predictions not available for all regions

Requirements

Google Cloud project with Maps Platform enabledAPI key with Geocoding API access (billable service)MCP client compatible with tool calling (Claude, Anthropic SDK, or compatible LLM)Network access to maps.googleapis.comGoogle Cloud project with Directions API enabledAPI key with Directions API access (billable service)MCP client that supports tool calling with complex parameter schemasValid origin and destination (addresses, coordinates, or place IDs)

Input / Output

Accepts: address string (e.g., '1600 Amphitheatre Parkway, Mountain View, CA'), latitude/longitude pair (e.g., {lat: 37.4224, lng: -122.0842}), place name with optional region bias, origin address or coordinates, destination address or coordinates, mode: 'driving' | 'walking' | 'bicycling' | 'transit', optional: waypoints array, departure_time, traffic_model, avoid restrictions, query string (e.g., 'Italian restaurants in San Francisco'), location coordinates with radius in meters, optional: type filter, open_now boolean, price_level range, place_id string (e.g., 'ChIJIQBpAG2ahYAR_6128GltTXQ'), optional: fields array to request specific data (e.g., ['business_status', 'opening_hours', 'reviews']), single coordinate: {lat: number, lng: number}, multiple coordinates array for batch queries, path: origin and destination with sample_rate for elevation profile, origins array: addresses, coordinates, or place IDs, destinations array: addresses, coordinates, or place IDs, optional: departure_time, traffic_model, avoid restrictions, any MCP tool call with parameters, Google Maps API error responses, MCP JSON-RPC tool call requests, transport configuration (stdio or HTTP)

Produces: structured JSON with coordinates, formatted address, address components, geometry bounds, structured JSON with address, place type, administrative hierarchy, structured JSON with routes array containing legs, steps, distance, duration, polyline, turn-by-turn instructions with maneuver types and distances, alternative routes with different characteristics (fastest, shortest, etc.), array of places with name, address, coordinates, rating, place_id, pagination tokens for fetching additional results, business status (OPERATIONAL, CLOSED_TEMPORARILY, CLOSED_PERMANENTLY), structured JSON with formatted_address, geometry, business_status, opening_hours, contact info: phone_number, website, url, reviews array with rating, text, author, time, photos array with URLs and attribution, elevation in meters with location coordinates, elevation profile array with distance and elevation at each sample point, distance matrix: 2D array of distances in meters, duration matrix: 2D array of travel times in seconds, status per element: OK, NOT_FOUND, ZERO_RESULTS, MAX_ROUTE_LENGTH_EXCEEDED, MCP error response with error code and human-readable message, structured error details: API error code, quota status, retry-able flag, MCP JSON-RPC tool response with results or errors, HTTP responses (if using HTTP transport), MCP error responses with error code and message

UnfragileRank

Adoption70%(25% weight)

Quality85%(25% weight)

Ecosystem52%(15% weight)

Match Graph25%(30% weight)

Freshness100%(5% weight)

UnfragileRank is computed from adoption signals, documentation quality, ecosystem connectivity, match graph feedback, and freshness. No artifact can pay for a higher rank.

Type: MCP Server

9 capabilities

Visit Google Maps MCP Server→

About

Official MCP server for Google Maps Platform APIs. Exposes geocoding, directions, place search, place details, elevation, and distance matrix tools for location-based AI applications.

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Capabilities9 decomposed

mcp-native geocoding with forward and reverse address resolution

Medium confidence

Solves for

Best for

AI agents building location-aware applications

Teams integrating Google Maps into LLM-powered workflows without custom API wrappers

Developers prototyping location services in Claude or other MCP-compatible clients

Requires

Google Cloud project with Maps Platform enabled

API key with Geocoding API access (billable service)

MCP client compatible with tool calling (Claude, Anthropic SDK, or compatible LLM)

Limitations

Rate-limited by Google Maps API quotas (default 50 QPS for standard tier)

Requires valid Google Maps API key with Geocoding API enabled — no fallback to free tier

Reverse geocoding accuracy varies by region; some coordinates may return approximate addresses

What makes it unique

vs alternatives

directions and routing with multi-mode support via mcp tools

Medium confidence

Solves for

Best for

Logistics and delivery optimization agents

Travel planning assistants that need real-time routing

Multi-modal transportation agents comparing driving, transit, and walking options

Requires

Google Cloud project with Directions API enabled

API key with Directions API access (billable service)

MCP client that supports tool calling with complex parameter schemas

Limitations

Directions API has stricter rate limits than Geocoding (100 QPS for standard tier)

Transit directions require explicit departure_time parameter; real-time predictions not available for all regions

Polyline geometries returned as encoded strings — agents must decode or use client-side libraries

What makes it unique

vs alternatives

Compared to calling Directions API directly, this MCP server abstracts authentication, response parsing, and polyline decoding, enabling agents to focus on routing logic rather than API mechanics

place search with text and nearby query support

Medium confidence

Solves for

Best for

Travel and hospitality agents that need location discovery

Local business search integrations

Proximity-based recommendation systems

Requires

Google Cloud project with Places API enabled

API key with Places API (New) access (billable service)

Search query (text) or location + radius (nearby)

Limitations

Text Search returns up to 20 results per query; pagination requires manual offset management

Nearby Search limited to 60,000 requests per day (stricter quota than other APIs)

Results include only basic place info (name, address, rating); detailed info requires separate Place Details call

What makes it unique

vs alternatives

Unlike direct REST calls, this MCP tool allows agents to chain place search with place details in a single workflow, with automatic pagination handling and structured schemas

place details retrieval with comprehensive business information

Medium confidence

Solves for

Best for

Travel and hospitality agents that need rich place information

Customer service bots that provide business details

Location-based recommendation systems requiring detailed business info

Requires

Google Cloud project with Places API enabled

API key with Places API (New) access

Valid place_id from prior search, geocoding, or place autocomplete

Limitations

Requires place_id from prior search or geocoding — cannot query by address alone

Photos and reviews are paginated; full review history requires multiple API calls

Business hours may not reflect holidays or special closures

What makes it unique

vs alternatives

Compared to direct API calls, this MCP integration enables agents to chain place search → place details in a single workflow with automatic place_id passing and structured response validation

elevation data retrieval for coordinates and paths

Medium confidence

Solves for

Best for

Outdoor activity planning agents (hiking, climbing, cycling)

Geographic analysis and terrain assessment tools

Environmental and climate-aware logistics systems

Requires

Google Cloud project with Elevation API enabled

API key with Elevation API access (billable service)

Valid coordinates (latitude, longitude pairs)

Limitations

Elevation API has lower resolution than specialized DEM (Digital Elevation Model) services — accuracy ±10m typical

Path elevation queries limited to 512 samples per request; long routes require segmentation

No support for bathymetric (underwater) elevation data

What makes it unique

vs alternatives

distance matrix computation for multi-point routing analysis

Medium confidence

Solves for

Best for

Logistics and delivery optimization agents

Facility location and accessibility analysis

Multi-destination travel planning and comparison

Requires

Google Cloud project with Distance Matrix API enabled

API key with Distance Matrix API access (billable service)

At least one origin and one destination (addresses, coordinates, or place IDs)

Limitations

Limited to 25 origins × 25 destinations per request (625 elements max); larger matrices require multiple calls

Transit mode requires explicit departure_time; real-time predictions not available for all regions

Results are symmetric only for driving mode; walking/transit times may differ by direction

What makes it unique

vs alternatives

Compared to calling Directions API repeatedly, this MCP tool provides bulk distance/duration computation in a single request, enabling agents to solve vehicle routing problems more efficiently

mcp tool schema validation and error handling for google maps api responses

Medium confidence

Solves for

Best for

Production agents requiring robust error handling

Teams building location services with quota constraints

Developers debugging agent workflows with detailed error context

Requires

MCP client that supports error response handling

Valid Google Maps API key with appropriate service quotas

Understanding of Google Maps API error codes and rate limits

Limitations

Schema validation happens client-side; some Google API errors only surface after API call

Retry logic is server-side only — client-side retry policies may conflict

No built-in circuit breaker for cascading quota exhaustion across multiple tools

What makes it unique

vs alternatives

Unlike direct API clients, this MCP server provides unified error handling across all Google Maps tools, reducing boilerplate error handling code in agents

mcp transport abstraction for google maps api communication

Medium confidence

Solves for

Best for

MCP client developers integrating Google Maps capabilities

Teams deploying MCP servers in containerized environments

Developers building multi-server MCP setups with Google Maps as one capability

Requires

Node.js 18+ (TypeScript implementation)

MCP SDK for transport implementation

Google Maps API key in environment or config

Limitations

Stdio transport limited to single client connection; HTTP transport requires separate server process

No built-in load balancing for multiple concurrent requests — single server instance may bottleneck

API key must be provided via environment variable or config file; no dynamic key rotation

What makes it unique

Official MCP server implementation using the MCP SDK's transport abstraction, enabling seamless integration with MCP clients through standardized JSON-RPC protocol without custom HTTP client code

vs alternatives

Compared to building custom HTTP wrappers, this MCP server provides native MCP protocol support with automatic request/response marshaling and error handling

error handling and api response normalization

Medium confidence

Solves for

Best for

Agents implementing robust error handling and retry logic

Production systems requiring observability into API failures

Teams debugging integration issues

Requires

MCP client capable of handling error responses

Proper error handling in agent logic

Limitations

Error messages depend on Google's API response format; some errors may be opaque

No built-in retry logic; agents must implement their own exponential backoff

Rate limit errors don't include reset time; agents must guess retry intervals

What makes it unique

vs alternatives

More consistent error handling than raw API client usage; MCP error format enables standardized agent error handling across multiple tools; clearer error messages than raw HTTP status codes

Capabilities are decomposed by AI analysis. Each maps to specific user intents and improves with match feedback.

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Google Maps MCP Server

Capabilities9 decomposed

mcp-native geocoding with forward and reverse address resolution

directions and routing with multi-mode support via mcp tools

place search with text and nearby query support

place details retrieval with comprehensive business information

elevation data retrieval for coordinates and paths

distance matrix computation for multi-point routing analysis

mcp tool schema validation and error handling for google maps api responses

mcp transport abstraction for google maps api communication

error handling and api response normalization

Related Artifactssharing capabilities

@mapbox/mcp-server

@amap/amap-maps-mcp-server

Google Maps

@amap/amap-maps-mcp-server

@modelcontextprotocol/server-map

@mapbox/mcp-server

Best For

Known Limitations

Requirements

Input / Output

UnfragileRank

About

Categories

Alternatives to Google Maps MCP Server

Are you the builder of Google Maps MCP Server?

Get the weekly brief

Data Sources

Google Maps MCP Server

Capabilities9 decomposed

mcp-native geocoding with forward and reverse address resolution

directions and routing with multi-mode support via mcp tools

place search with text and nearby query support

place details retrieval with comprehensive business information

elevation data retrieval for coordinates and paths

distance matrix computation for multi-point routing analysis

mcp tool schema validation and error handling for google maps api responses

mcp transport abstraction for google maps api communication

error handling and api response normalization

Related Artifactssharing capabilities

@mapbox/mcp-server

@amap/amap-maps-mcp-server

Google Maps

@amap/amap-maps-mcp-server

@modelcontextprotocol/server-map

@mapbox/mcp-server

Best For

Known Limitations

Requirements

Input / Output

UnfragileRank

About

Categories

Alternatives to Google Maps MCP Server

Are you the builder of Google Maps MCP Server?

Get the weekly brief

Data Sources