Upstream Lens MCP Server for Google ADKGive Google ADK instant access to 8 tools to Check Api Health, Get Organization Info, Get Property Details, and more
Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Upstream Lens 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 Upstream Lens app connector for Google ADK is a standout in the Data Analytics category — giving your AI agent 8 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="upstream_lens_agent",
instruction=(
"You help users interact with Upstream Lens "
"using 8 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 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.
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.
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.
The Upstream Lens MCP Server exposes 8 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 8 Upstream Lens tools available for Google ADK
When Google ADK connects to Upstream Lens through Vinkius, your AI agent gets direct access to every tool listed below — spanning satellite-imagery, environmental-monitoring, remote-sensing, 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.
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
Connect Upstream Lens to Google ADK via MCP
Follow these steps to wire Upstream Lens 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 Upstream Lens MCP Server
Google ADK provides unique advantages when paired with Upstream Lens 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 Upstream Lens
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 Upstream Lens tools with BigQuery, Vertex AI, and Cloud Functions
Upstream Lens + Google ADK Use Cases
Practical scenarios where Google ADK combined with the Upstream Lens MCP Server delivers measurable value.
Enterprise data agents: ADK agents query Upstream Lens and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine Upstream Lens tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query Upstream Lens regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Upstream Lens
Example Prompts for Upstream Lens in Google ADK
Ready-to-use prompts you can give your Google ADK agent to start working with Upstream Lens immediately.
"List all active environmental projects in my Lens account."
"Show me the latest field notes for the 'Amazon Restoration' project."
"List available satellite imagery layers for property 'feat_10293'."
Troubleshooting Upstream Lens MCP Server with Google ADK
Common issues when connecting Upstream Lens to Google ADK through the Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkUpstream Lens + Google ADK FAQ
Common questions about integrating Upstream Lens MCP Server with Google ADK.