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Upstream Lens MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 8 tools to Check Api Health, Get Organization Info, Get Property Details, and more

Built by Vinkius GDPR 8 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Upstream Lens through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Use with Your AI Agent

Ask AI about this App Connector for OpenAI Agents SDK

Open in ChatGPT Open in Claude Open in Perplexity

The Upstream Lens app connector for OpenAI Agents SDK 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

python
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Upstream Lens Assistant",
            instructions=(
                "You help users interact with Upstream Lens. "
                "You have access to 8 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Upstream Lens"
        )
        print(result.final_output)

asyncio.run(main())
Upstream Lens
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<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

The OpenAI Agents SDK auto-discovers all 8 tools from Upstream Lens through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Upstream Lens, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

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 OpenAI Agents SDK 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 OpenAI Agents SDK

When OpenAI Agents SDK 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_api_health

Check Lens API health

get_organization_info

Get organization metadata

get_property_details

Get details for a specific property feature

list_portfolios

List all portfolios

list_project_notes

Can be filtered by update date. List observations and notes for a project

list_project_observations

List detailed project observations

list_projects

List all environmental projects

list_property_imagery

) for a specific property. List available imagery layers for a property

Connect Upstream Lens to OpenAI Agents SDK via MCP

Follow these steps to wire Upstream Lens into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install the SDK

Run pip install openai-agents in your Python environment
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
03

Run the script

Save the code above and run it: python agent.py
04

Explore tools

The agent will automatically discover 8 tools from Upstream Lens

Why Use OpenAI Agents SDK with the Upstream Lens MCP Server

OpenAI Agents SDK provides unique advantages when paired with Upstream Lens through the Model Context Protocol.

01

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

02

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

03

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

04

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Upstream Lens + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Upstream Lens MCP Server delivers measurable value.

01

Automated workflows: build agents that query Upstream Lens, process the data, and trigger follow-up actions autonomously

02

Multi-agent orchestration: create specialist agents. one queries Upstream Lens, another analyzes results, a third generates reports

03

Data enrichment pipelines: stream data through Upstream Lens tools and transform it with OpenAI models in a single async loop

04

Customer support bots: agents query Upstream Lens to resolve tickets, look up records, and update statuses without human intervention

Example Prompts for Upstream Lens in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Upstream Lens immediately.

01

"List all active environmental projects in my Lens account."

02

"Show me the latest field notes for the 'Amazon Restoration' project."

03

"List available satellite imagery layers for property 'feat_10293'."

Troubleshooting Upstream Lens MCP Server with OpenAI Agents SDK

Common issues when connecting Upstream Lens to OpenAI Agents SDK through the Vinkius, and how to resolve them.

01

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents
02

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Upstream Lens + OpenAI Agents SDK FAQ

Common questions about integrating Upstream Lens MCP Server with OpenAI Agents SDK.

01

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.
02

Can I use multiple MCP servers in one agent?

Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.
03

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.