How do I get my ComboCurve API key?

Go to **Admin > API Keys** in the ComboCurve UI and generate a new key. Copy it and paste it below.

What is the Bearer Token?

ComboCurve uses a JWT (Bearer Token) generated from a Service Account for authentication. You can generate it using their SDKs or a custom script.

Can I update well data?

The current version focuses on reading data. Write operations for wells and forecasts may be added in future updates.

ComboCurve MCP Server for LangChain 10 tools — connect in under 2 minutes

Name: ComboCurve
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect ComboCurve through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "combocurve": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using ComboCurve, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

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* 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.

LangChain's ecosystem of 500+ components combines seamlessly with ComboCurve through native MCP adapters. Connect 10 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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 LangChain 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 LangChain via MCP

Follow these steps to integrate the ComboCurve MCP Server with LangChain.

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 10 tools from ComboCurve via MCP

Why Use LangChain with the ComboCurve MCP Server

LangChain provides unique advantages when paired with ComboCurve through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents. combine ComboCurve MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across ComboCurve queries for multi-turn workflows

ComboCurve + LangChain Use Cases

Practical scenarios where LangChain combined with the ComboCurve MCP Server delivers measurable value.

RAG with live data: combine ComboCurve tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query ComboCurve, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain ComboCurve tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every ComboCurve tool call, measure latency, and optimize your agent's performance

ComboCurve MCP Tools for LangChain (10)

These 10 tools become available when you connect ComboCurve to LangChain 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 LangChain

Ready-to-use prompts you can give your LangChain 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 LangChain

Common issues when connecting ComboCurve to LangChain through the Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

ComboCurve + LangChain FAQ

Common questions about integrating ComboCurve MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.