AEGIS Hedging MCP Server for Pydantic AI 4 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect AEGIS Hedging 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 AEGIS Hedging "
"(4 tools)."
),
)
result = await agent.run(
"What tools are available in AEGIS Hedging?"
)
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 AEGIS Hedging MCP Server
Connect your AEGIS Hedging (Revenue Intelligence) account to your AI agent to orchestrate your energy risk management and trade lifecycle. From monitoring real-time Mark-to-Market (MTM) valuations to auditing trade entries and retrieving forward market curves, your agent handles complex energy data through natural conversation.
Pydantic AI validates every AEGIS Hedging tool response against typed schemas, catching data inconsistencies at build time. Connect 4 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
- Trade Lifecycle Management — List and audit trades executed on the AEGIS Marketplace and monitor their status in your system
- Valuation & MTM — Retrieve current Mark-to-Market data and settlement estimates for your hedge positions
- Market Intelligence — Access energy forward curves, historical price data, and daily market insights
- Reporting & Compliance — Retrieve normalized data for revenue, taxes, and fees to support financial forecasting and SDR reporting
- Strategic Oversight — Quickly identify portfolio risks or hedging opportunities based on current market volatility
The AEGIS Hedging MCP Server exposes 4 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 AEGIS Hedging to Pydantic AI via MCP
Follow these steps to integrate the AEGIS Hedging 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 4 tools from AEGIS Hedging with type-safe schemas
Why Use Pydantic AI with the AEGIS Hedging MCP Server
Pydantic AI provides unique advantages when paired with AEGIS Hedging 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 AEGIS Hedging integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your AEGIS Hedging connection logic from agent behavior for testable, maintainable code
AEGIS Hedging + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the AEGIS Hedging MCP Server delivers measurable value.
Type-safe data pipelines: query AEGIS Hedging with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple AEGIS Hedging tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query AEGIS Hedging and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock AEGIS Hedging responses and write comprehensive agent tests
AEGIS Hedging MCP Tools for Pydantic AI (4)
These 4 tools become available when you connect AEGIS Hedging to Pydantic AI via MCP:
check_api_version
Check AEGIS API version
get_forward_curves
Retrieve energy forward curves
get_valuations
Get real-time MTM valuations
list_trades
List energy hedge trades
Example Prompts for AEGIS Hedging in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with AEGIS Hedging immediately.
"List all energy trades executed in the last 30 days."
"Show me the current Mark-to-Market valuation for my natural gas portfolio."
"Retrieve the energy forward curves for the next 12 months."
Troubleshooting AEGIS Hedging MCP Server with Pydantic AI
Common issues when connecting AEGIS Hedging to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiAEGIS Hedging + Pydantic AI FAQ
Common questions about integrating AEGIS Hedging 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 AEGIS Hedging 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 AEGIS Hedging to Pydantic AI
Get your token, paste the configuration, and start using 4 tools in under 2 minutes. No API key management needed.