How to Use the Upstream Lens MCP in OpenAI Agents SDK

Get actionable oil and gas data analytics using OpenAI Agents SDK.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Upstream Lens MCP to OpenAI Agents SDK

Create your Vinkius account to connect Upstream Lens to OpenAI Agents SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup Upstream Lens with OpenAI Agents SDK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Track project progress instantly

Use `list_projects` to pull a full list of environmental projects. You'll see which ones are active, paused, or completed. You can also call `list_project_notes`, filtering by update date, so your agent only pulls the most recent project updates. This saves time and keeps the data current.

Gather property asset details

Need specifics on a piece of land? The tool `get_property_details` provides deep feature information for any specific property. It gives you metadata about its usage. It’s also smart enough to pull all available imagery layers via `list_property_imagery`, letting your agent know exactly what kind of visual data is there.

Review historical findings and reports

When you use `list_project_observations`, your agent pulls detailed records of past observations. This tool goes beyond simple notes. You can cross-reference this with `get_organization_info` to make sure the observation data links back to the correct corporate entity.

Setup guide

Set up Upstream Lens MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Upstream Lens tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Upstream Lens tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Upstream Lens tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="Upstream Lens Agent",
            instructions="You have access to Upstream Lens tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Upstream Lens. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Upstream Lens now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Upstream Lens MCP in OpenAI Agents SDK

Your agent connects directly via an MCP Server endpoint. The OpenAIAgents SDK handles the connection, letting your specialized agents automatically discover and use tools like `list_portfolios` without any custom coding.

Yep. Because it runs on a standard MCP Server, the OpenAIAgents SDK can talk to it natively. You just pass the server URL into your agent constructor and let the rest happen.

Absolutely. The core function of the OpenAIAgents SDK is to execute complex, multi-step actions. You can build an agent that first checks `check_api_health` and then proceeds to gather project details.

It exposes organizational metadata, specific property feature details, and structured reports like project notes. The OpenAIAgents SDK ensures these tool calls are validated before they run.

Be mindful of the environmental projects and associated metadata when running your agent. The server deals with organizational metadata, project notes, and property imagery layers.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript