ComboCurve MCP Server for LlamaIndex 10 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add ComboCurve as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to ComboCurve. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in ComboCurve?"
)
print(response)
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.
LlamaIndex agents combine ComboCurve tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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 LlamaIndex 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 LlamaIndex via MCP
Follow these steps to integrate the ComboCurve MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 10 tools from ComboCurve
Why Use LlamaIndex with the ComboCurve MCP Server
LlamaIndex provides unique advantages when paired with ComboCurve through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine ComboCurve tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain ComboCurve tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query ComboCurve, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what ComboCurve tools were called, what data was returned, and how it influenced the final answer
ComboCurve + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the ComboCurve MCP Server delivers measurable value.
Hybrid search: combine ComboCurve real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query ComboCurve to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying ComboCurve for fresh data
Analytical workflows: chain ComboCurve queries with LlamaIndex's data connectors to build multi-source analytical reports
ComboCurve MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect ComboCurve to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting ComboCurve to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpComboCurve + LlamaIndex FAQ
Common questions about integrating ComboCurve MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
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 LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.