Upstream Lens MCP Server for Pydantic AIGive Pydantic AI instant access to 8 tools to Check Api Health, Get Organization Info, Get Property Details, and more
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Upstream Lens through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.
Ask AI about this App Connector for Pydantic AI
The Upstream Lens app connector for Pydantic AI 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
import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
agent = Agent(
model="openai:gpt-4o",
mcp_servers=[server],
system_prompt=(
"You are an assistant with access to Upstream Lens "
"(8 tools)."
),
)
result = await agent.run(
"What tools are available in Upstream Lens?"
)
print(result.data)
asyncio.run(main())
* 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.
Pydantic AI validates every Upstream Lens tool response against typed schemas, catching data inconsistencies at build time. Connect 8 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.
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 Pydantic AI 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 Pydantic AI
When Pydantic AI 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 Pydantic AI via MCP
Follow these steps to wire Upstream Lens into Pydantic AI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install Pydantic AI
pip install pydantic-aiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use Pydantic AI with the Upstream Lens MCP Server
Pydantic AI provides unique advantages when paired with Upstream Lens through the Model Context Protocol.
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Upstream Lens integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Upstream Lens connection logic from agent behavior for testable, maintainable code
Upstream Lens + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Upstream Lens MCP Server delivers measurable value.
Type-safe data pipelines: query Upstream Lens with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Upstream Lens tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Upstream Lens and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Upstream Lens responses and write comprehensive agent tests
Example Prompts for Upstream Lens in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI
Common issues when connecting Upstream Lens to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiUpstream Lens + Pydantic AI FAQ
Common questions about integrating Upstream Lens MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.