ComboCurve MCP Server for Pydantic AI 10 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect ComboCurve through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
agent = Agent(
model="openai:gpt-4o",
mcp_servers=[server],
system_prompt=(
"You are an assistant with access to ComboCurve "
"(10 tools)."
),
)
result = await agent.run(
"What tools are available in ComboCurve?"
)
print(result.data)
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.
Pydantic AI validates every ComboCurve tool response against typed schemas, catching data inconsistencies at build time. Connect 10 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.
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 Pydantic AI 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 Pydantic AI via MCP
Follow these steps to integrate the ComboCurve MCP Server with Pydantic AI.
Install Pydantic AI
Run pip install pydantic-ai
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 with type-safe schemas
Why Use Pydantic AI with the ComboCurve MCP Server
Pydantic AI provides unique advantages when paired with ComboCurve through the Model Context Protocol.
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your ComboCurve integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your ComboCurve connection logic from agent behavior for testable, maintainable code
ComboCurve + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the ComboCurve MCP Server delivers measurable value.
Type-safe data pipelines: query ComboCurve with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple ComboCurve tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query ComboCurve and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock ComboCurve responses and write comprehensive agent tests
ComboCurve MCP Tools for Pydantic AI (10)
These 10 tools become available when you connect ComboCurve to Pydantic AI 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 Pydantic AI
Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI
Common issues when connecting ComboCurve to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiComboCurve + Pydantic AI FAQ
Common questions about integrating ComboCurve MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.Does Pydantic AI validate MCP tool responses?
Can I switch LLM providers without changing MCP code?
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 Pydantic AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.