Mapflow MCP Server for Google ADKGive Google ADK instant access to 7 tools to Create Processing, Create Project, Get Processing Result, and more
Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Mapflow as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.
Ask AI about this App Connector for Google ADK
The Mapflow app connector for Google ADK is a standout in the Artificial Intelligence category — giving your AI agent 7 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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="mapflow_agent",
instruction=(
"You help users interact with Mapflow "
"using 7 available tools."
),
tools=[mcp_tools],
)
* 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 Mapflow MCP Server
Connect your Mapflow account to any AI agent and manage geospatial AI processing through natural conversation.
Google ADK natively supports Mapflow 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
- Project Management — Create and manage mapping projects
- Image Processing — Trigger AI models on satellite and drone imagery
- Task Tracking — Monitor processing status and completion
- Dataset Browsing — Access generated vector datasets and polygons
- Model Management — Browse available AI models (buildings, roads, forests)
The Mapflow 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.
All 7 Mapflow tools available for Google ADK
When Google ADK connects to Mapflow through Vinkius, your AI agent gets direct access to every tool listed below — spanning geospatial-ai, satellite-imagery, drone-mapping, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Pass data as a JSON string. Start a new imagery analysis
Pass data as a JSON string. Create a new project
Get processing result data
Check status of a processing job
List available geospatial AI models
List all geospatial processings
List all MapFlow projects
Connect Mapflow to Google ADK via MCP
Follow these steps to wire Mapflow into Google ADK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install Google ADK
pip install google-adkReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenCreate the agent
Explore tools
Why Use Google ADK with the Mapflow MCP Server
Google ADK provides unique advantages when paired with Mapflow 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 Mapflow
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 Mapflow tools with BigQuery, Vertex AI, and Cloud Functions
Mapflow + Google ADK Use Cases
Practical scenarios where Google ADK combined with the Mapflow MCP Server delivers measurable value.
Enterprise data agents: ADK agents query Mapflow and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine Mapflow tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query Mapflow regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Mapflow
Example Prompts for Mapflow in Google ADK
Ready-to-use prompts you can give your Google ADK agent to start working with Mapflow immediately.
"List available AI models and my active projects."
"Start processing building footprints for the Seattle project."
"Check status of task tsk_8901 and show dataset results."
Troubleshooting Mapflow MCP Server with Google ADK
Common issues when connecting Mapflow to Google ADK through the Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkMapflow + Google ADK FAQ
Common questions about integrating Mapflow MCP Server with Google ADK.