Bring Satellite Imagery
to Google ADK
Learn how to connect Upstream Lens to Google ADK and start using 8 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the Upstream Lens MCP Server?
Connect your Upstream Tech Lens account to any AI agent and simplify how you monitor conservation projects, analyze satellite imagery, and track environmental changes through natural conversation.
What you can do
- Project & Portfolio Oversight — List all environmental projects and portfolios to manage your conservation assets.
- Imagery Analysis — Query available satellite imagery layers (Sentinel, Landsat, etc.) for specific property features.
- Geospatial Insights — Fetch detailed metadata and field observations for properties to track ground-truth data.
- Environmental Monitoring — List project notes and observations to keep a record of changes over time.
- Organization Management — Retrieve Lens organization profiles and verify account configurations.
- Operational Status — Check API health and connectivity to ensure your monitoring engine is always active.
How it works
1. Subscribe to this server
2. Enter your Upstream Tech Lens API Key (found in your account dashboard)
3. Start monitoring your environmental assets from Claude, Cursor, or any MCP client
Who is this for?
- Conservation Managers — quickly retrieve field notes and check satellite imagery availability via simple AI queries.
- Environmental Analysts — monitor changes in property features and verify geospatial metadata directly from the workspace.
- Sustainability Teams — track project observations and maintain an organized portfolio of environmental monitoring sites.
Built-in capabilities (8)
Check Lens API health
Get organization metadata
Get details for a specific property feature
List all portfolios
Can be filtered by update date. List observations and notes for a project
List detailed project observations
List all environmental projects
) for a specific property. List available imagery layers for a property
Why Google ADK?
Google ADK natively supports Upstream Lens as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 8 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 Upstream Lens
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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 Upstream Lens tools with BigQuery, Vertex AI, and Cloud Functions
Upstream Lens in Google ADK
Upstream Lens and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect Upstream Lens 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 Upstream Lens in Google ADK
The Upstream Lens 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 8 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
Upstream Lens for Google ADK
Every tool call from Google ADK to the Upstream Lens MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I see if new satellite images are available for my project?
Yes! Use the list_property_imagery tool and provide the Property ID. Your agent will retrieve all available imagery layers (Sentinel, Landsat, etc.) with their respective capture dates.
How do I retrieve field notes for a specific conservation project?
Run the list_project_notes query with your Project ID. You can also provide an optional timestamp to filter only notes updated after a specific date.
Is it possible to see the geospatial metadata for a property feature?
Absolutely. Use the get_property_details tool with the Feature ID to retrieve detailed geospatial data and metadata for any monitored property.
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