ComboCurve MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect ComboCurve through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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="ComboCurve Assistant",
instructions=(
"You help users interact with ComboCurve. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from ComboCurve"
)
print(result.final_output)
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 ComboCurve MCP Server
Connect your AI assistant to ComboCurve, the cloud-based energy platform for forecasting, valuation, and reporting in the oil and gas industry.
The OpenAI Agents SDK auto-discovers all 10 tools from ComboCurve through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries ComboCurve, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Project Management — List active projects, inspect configurations, and retrieve project-level metadata.
- Well Search — Find wells by ID, name, or geographic filters and view production history.
- Forecast Data — Retrieve monthly volume forecasts and decline curves for individual wells or full projects.
The ComboCurve MCP Server exposes 10 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.
How to Connect ComboCurve to OpenAI Agents SDK via MCP
Follow these steps to integrate the ComboCurve MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 10 tools from ComboCurve
Why Use OpenAI Agents SDK with the ComboCurve MCP Server
OpenAI Agents SDK provides unique advantages when paired with ComboCurve through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
ComboCurve + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the ComboCurve MCP Server delivers measurable value.
Automated workflows: build agents that query ComboCurve, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries ComboCurve, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through ComboCurve tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query ComboCurve to resolve tickets, look up records, and update statuses without human intervention
ComboCurve MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect ComboCurve to OpenAI Agents SDK via MCP:
get_forecast
Retrieve details of a specific forecast
get_monthly_volumes
Retrieve monthly forecasted volumes for a project and forecast
get_project
Retrieve details of a specific project
get_scenario_details
Retrieve details of a specific scenario
get_well
Retrieve detailed information about a specific well
list_forecasts
Retrieve a list of forecasts for a specific project
list_projects
Retrieve a list of projects in ComboCurve
list_scenarios
Retrieve a list of scenarios for a specific project
list_wells
Retrieve a list of wells in ComboCurve
search_wells_by_name
Search for wells by name or chosen ID
Example Prompts for ComboCurve in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with ComboCurve immediately.
"Show me all active projects in ComboCurve."
"Show monthly volumes for forecast 'fc-yyyy' in project 'proj-xxxx'."
"Get the type curve parameters for the 'Wolfcamp A' formation."
Troubleshooting ComboCurve MCP Server with OpenAI Agents SDK
Common issues when connecting ComboCurve to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
ComboCurve + OpenAI Agents SDK FAQ
Common questions about integrating ComboCurve MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect ComboCurve with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect ComboCurve to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.