How do I get a Mapillary access token?

Sign up at [**mapillary.com/developer**](https://www.mapillary.com/developer) and create an application to get your access token.

What is a bounding box?

A bounding box defines a geographic area using min_longitude, min_latitude, max_longitude, max_latitude. Example: "-0.15,51.50,-0.10,51.52" covers central London.

What map features are available?

Mapillary detects traffic signs (stop, speed limit, yield, etc.), road objects (fire hydrants, mailboxes, etc.) and road markings. Use get_map_features to search by area.

Mapillary MCP Server for Google ADK 7 tools — connect in under 2 minutes

Name: Mapillary
Availability: InStock
Author: Vinkius

google.github.io/adk-docs/tools/mcp-tools

Built by Vinkius GDPR 7 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Mapillary as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="mapillary_agent",
    instruction=(
        "You help users interact with Mapillary "
        "using 7 available tools."
    ),
    tools=[mcp_tools],
)

Fully ManagedVinkius Servers

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High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Mapillary MCP Server

Connect to Mapillary and access the world's largest street-level imagery platform through natural conversation.

Google ADK natively supports Mapillary as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 7 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

What you can do

Image Search — Search street-level images by geographic bounding box
Image Details — Get image metadata including GPS coordinates, capture date, compass angle and sequence
Sequence Search — Find image sequences (connected images along routes) by area
Map Features — Search detected traffic signs, objects and road markings by area
Object Detections — Get all detected objects in a specific image

The Mapillary MCP Server exposes 7 tools through the Vinkius. Connect it to Google ADK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Mapillary to Google ADK via MCP

Follow these steps to integrate the Mapillary MCP Server with Google ADK.

Install Google ADK

Run pip install google-adk

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Create the agent

Save the code above and integrate into your ADK workflow

Explore tools

The agent will discover 7 tools from Mapillary via MCP

Why Use Google ADK with the Mapillary MCP Server

Google ADK provides unique advantages when paired with Mapillary through the Model Context Protocol.

Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Mapillary

Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

Seamless integration with Google Cloud services means you can combine Mapillary tools with BigQuery, Vertex AI, and Cloud Functions

Mapillary + Google ADK Use Cases

Practical scenarios where Google ADK combined with the Mapillary MCP Server delivers measurable value.

Enterprise data agents: ADK agents query Mapillary and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine Mapillary tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query Mapillary regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Mapillary

Mapillary MCP Tools for Google ADK (7)

These 7 tools become available when you connect Mapillary to Google ADK via MCP:

get_detection_value

Returns the detected value, type, GPS coordinates and image association. Get details for a specific object detection

get_image

Returns image ID, capture date/time, GPS coordinates, compass angle, sequence ID, organization and thumbnail URL. Use fields parameter to request additional data like "geometry,compass_angle,captured_at,sequence,thumb_256_url,thumb_1024_url,altitude". Get details for a specific Mapillary image

get_image_detections

Returns detection values, types, geometry and confidence scores. Get object detections for a specific image

get_map_features

Returns feature type, value, GPS coordinates and detection confidence. Useful for traffic sign inventory and road infrastructure analysis. Search map features (traffic signs, objects) by area

get_sequence

Returns sequence ID, creation date and related images. Get details for a specific image sequence

search_images

Returns image IDs, coordinates, capture dates, compass angles and sequence IDs. Bbox format: min_lon,min_lat,max_lon,max_lat (e.g. "-0.15,51.50,-0.10,51.52" for central London). Search street-level images by geographic area

search_sequences

Returns sequence IDs and metadata for all sequences that pass through the area. Search image sequences by geographic area

Example Prompts for Mapillary in Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with Mapillary immediately.

"Find street-level images in central London."

"Search for traffic signs in São Paulo."

"Get object detections for image abc123."

Troubleshooting Mapillary MCP Server with Google ADK

Common issues when connecting Mapillary to Google ADK through the Vinkius, and how to resolve them.

McpToolset not found

Update: pip install --upgrade google-adk

Mapillary + Google ADK FAQ

Common questions about integrating Mapillary MCP Server with Google ADK.

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.