Flux Markets MCP Server for Pydantic AI 9 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Flux Markets 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 Flux Markets "
"(9 tools)."
),
)
result = await agent.run(
"What tools are available in Flux Markets?"
)
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 Flux Markets MCP Server
Connect your Flux Markets (Onyx) account to any AI agent to monitor energy markets, track live pricing, and access proprietary 'Commitment of Traders' (COT) data. This MCP server enables you to manage your trading insights directly through natural conversation.
Pydantic AI validates every Flux Markets tool response against typed schemas, catching data inconsistencies at build time. Connect 9 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
- Live Tickers — Get real-time biddable prices and market snapshots for energy contracts.
- Historical Data — Retrieve time-series data for backtesting and trend analysis.
- Trade Insights — Access Flux’s proprietary COT data and benchmark reports (The Officials).
- Swap Settlements — Track daily settlement prices for energy swaps.
- Market Snapshot — Get high-level summaries of current market statuses across various energy symbols.
The Flux Markets MCP Server exposes 9 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 Flux Markets to Pydantic AI via MCP
Follow these steps to integrate the Flux Markets 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 9 tools from Flux Markets with type-safe schemas
Why Use Pydantic AI with the Flux Markets MCP Server
Pydantic AI provides unique advantages when paired with Flux Markets 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 Flux Markets integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Flux Markets connection logic from agent behavior for testable, maintainable code
Flux Markets + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Flux Markets MCP Server delivers measurable value.
Type-safe data pipelines: query Flux Markets with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Flux Markets tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Flux Markets and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Flux Markets responses and write comprehensive agent tests
Flux Markets MCP Tools for Pydantic AI (9)
These 9 tools become available when you connect Flux Markets to Pydantic AI via MCP:
get_account_info
Get account and API usage details
get_cot_data
Get Commitment of Traders (COT) data
get_historical_tickers
Get historical energy prices
get_live_tickers
Get real-time energy prices
get_market_snapshot
Get current market snapshot
get_officials
Get benchmark reports (The Officials)
get_swap_settlements
Get daily swap settlement prices
list_products
List all energy products
list_symbols
List energy symbols
Example Prompts for Flux Markets in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with Flux Markets immediately.
"Show me the current live prices for BRENT and WTI oil swaps."
"Get the Commitment of Traders (COT) report for fuel oil."
"List all energy symbols available for trading."
Troubleshooting Flux Markets MCP Server with Pydantic AI
Common issues when connecting Flux Markets to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiFlux Markets + Pydantic AI FAQ
Common questions about integrating Flux Markets 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 Flux Markets 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 Flux Markets to Pydantic AI
Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.