How to Use the ComboCurve MCP in OpenAI Agents SDK

Get raw ComboCurve well data and forecasts directly into your OpenAI Agents SDK production workflows.

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Connect ComboCurve MCP to OpenAI Agents SDK

Create your Vinkius account to connect ComboCurve 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.

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Setup ComboCurve with OpenAI Agents SDK

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Claude

Perplexity

Bulk Well Search and Retrieval

`list_wells` pulls your entire active inventory directly into your execution stream. Your agent calls `search_wells_by_name` to isolate specific assets instantly without wasting API tokens on manual lookups. You get raw data payloads fed directly to your models. The SDK handles the heavy lifting, passing well identifiers straight to subsequent analysis steps without manual parsing.

Automated Forecast Analysis in OpenAI Agents SDK

This MCP Server exposes `get_forecast` and `get_monthly_volumes` to feed raw production curves straight to your model context. Your agents analyze decline rates and cumulative volumes on the fly. OpenAI's built-in safety guardrails validate these calls before execution. You track every single volume retrieval through the developer dashboard to keep tabs on token usage and tool execution paths.

Scenario and Project Mapping

`list_projects` and `get_scenario_details` let your system map out complex economic models. The agent inspects individual project parameters to compare running cases. You get structured JSON outputs that map directly to your agent's internal state. No weird API wrappers, just direct access to your economic scenarios.

Setup guide

Set up ComboCurve 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 ComboCurve tools at runtime.
3

Create your Agent

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

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate ComboCurve 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="ComboCurve Agent",
            instructions="You have access to ComboCurve tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Common questions about ComboCurve MCP in OpenAI Agents SDK

Install the Python package and initialize the streamable HTTP client pointing to your Vinkius endpoint. Pass this server object into your agent constructor to auto-discover all ten tools instantly.

Yes. You control tool exposure during the agent initialization step in Python. You can restrict the agent to read-only queries like `list_projects` if you want to prevent it from pulling large forecast curves.

It uses streamable HTTP transports to handle the payload. For massive curves retrieved via `get_monthly_volumes`, set the tool caching parameter to true to keep your system fast and responsive.

No. The MCP Server returns structured JSON that your agent reads directly. Tools like `get_well` output clean schemas that the model interprets without extra formatting.

Vinkius runs the server in an isolated V8 sandbox where your API keys and well records never persist. Your production forecasts and project scenarios stream directly to your OpenAI runtime through an ephemeral, zero-trust connection.

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