Bring Geospatial Ai
to Google ADK
Learn how to connect Mapflow to Google ADK and start using 7 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the Mapflow MCP Server?
Connect your Mapflow account to any AI agent and manage geospatial AI processing through natural conversation.
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)
How it works
1. Subscribe to this server
2. Enter your Mapflow API Key
3. Start processing geospatial data from Claude, Cursor, or any MCP-compatible client
Who is this for?
- GIS Specialists — extract vector data from imagery automatically
- Urban Planners — map buildings and infrastructure
- Environmentalists — monitor forests and land use
Built-in capabilities (7)
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
Why Google ADK?
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.
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Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution
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Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Mapflow
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Production-ready features like session management, evaluation, and deployment come built-in. not bolted on
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Seamless integration with Google Cloud services means you can combine Mapflow tools with BigQuery, Vertex AI, and Cloud Functions
Mapflow in Google ADK
Mapflow and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect Mapflow to Google ADK through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 3,400+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Mapflow in Google ADK
The Mapflow 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. All 7 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Google ADK only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* 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
How Vinkius secures
Mapflow for Google ADK
Every tool call from Google ADK to the Mapflow MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I process satellite imagery and extract vector data?
Yes. Trigger AI models on imagery to automatically extract buildings, roads, forests, and other features as vector polygons.
How does Mapflow authentication work?
Mapflow uses Bearer authentication against api.mapflow.ai/rest using your API Key.
Can I track processing tasks?
Yes. Monitor processing status, progress percentages, and access completion datasets when ready.
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.
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Update: pip install --upgrade google-adk