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Flux Markets MCP Server for LangChain 9 tools — connect in under 2 minutes

Built by Vinkius GDPR 9 Tools Framework

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

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({
        "flux-markets": {
            "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 Flux Markets, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())
Flux Markets
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

LangChain's ecosystem of 500+ components combines seamlessly with Flux Markets through native MCP adapters. Connect 9 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

  • 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 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 Flux Markets to LangChain via MCP

Follow these steps to integrate the Flux Markets MCP Server with LangChain.

01

Install dependencies

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

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save the code and run python agent.py

04

Explore tools

The agent discovers 9 tools from Flux Markets via MCP

Why Use LangChain with the Flux Markets MCP Server

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

01

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

02

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

03

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

04

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

Flux Markets + LangChain Use Cases

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

01

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

02

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

03

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

04

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

Flux Markets MCP Tools for LangChain (9)

These 9 tools become available when you connect Flux Markets to LangChain via MCP:

01

get_account_info

Get account and API usage details

02

get_cot_data

Get Commitment of Traders (COT) data

03

get_historical_tickers

Get historical energy prices

04

get_live_tickers

Get real-time energy prices

05

get_market_snapshot

Get current market snapshot

06

get_officials

Get benchmark reports (The Officials)

07

get_swap_settlements

Get daily swap settlement prices

08

list_products

List all energy products

09

list_symbols

List energy symbols

Example Prompts for Flux Markets in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with Flux Markets immediately.

01

"Show me the current live prices for BRENT and WTI oil swaps."

02

"Get the Commitment of Traders (COT) report for fuel oil."

03

"List all energy symbols available for trading."

Troubleshooting Flux Markets MCP Server with LangChain

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

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Flux Markets + LangChain FAQ

Common questions about integrating Flux Markets MCP Server with LangChain.

01

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.
02

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.
03

Can I trace MCP tool calls in LangSmith?

Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.

Connect Flux Markets to LangChain

Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.