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Marketaux MCP Server for LangChain 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Marketaux 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({
        "marketaux": {
            "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 Marketaux, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())
Marketaux
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 Marketaux MCP Server

Connect your Marketaux account to any AI agent and stay on top of the financial markets through natural conversation.

LangChain's ecosystem of 500+ components combines seamlessly with Marketaux through native MCP adapters. Connect 10 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

  • Financial News — Search global news by symbol, keyword, or language
  • Sentiment Analysis — Filter news by market sentiment to understand impacts
  • Market Data — Query symbols, entities, exchanges, and industries
  • Live Status — Check stock market status and global indices

The Marketaux MCP Server exposes 10 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 Marketaux to LangChain via MCP

Follow these steps to integrate the Marketaux 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 10 tools from Marketaux via MCP

Why Use LangChain with the Marketaux MCP Server

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

01

The largest ecosystem of integrations, chains, and agents. combine Marketaux 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 Marketaux queries for multi-turn workflows

Marketaux + LangChain Use Cases

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

01

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

02

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

03

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

04

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

Marketaux MCP Tools for LangChain (10)

These 10 tools become available when you connect Marketaux to LangChain via MCP:

01

get_entities

) tracked by Marketaux. Get entity data

02

get_indices

List stock indices

03

get_latest_news

Get the latest financial news

04

get_sentiment_analysis

Get news with sentiment analysis

05

get_stock_market_status

Get stock market status

06

get_symbols

List supported stock symbols

07

get_trending_news

Get trending financial news

08

list_industries

List industries

09

search_exchanges

Search for stock exchanges

10

search_news

Search for global financial news

Example Prompts for Marketaux in LangChain

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

01

"Show latest news for AAPL and MSFT."

02

"Check if the stock market is open now."

03

"What are the trending financial topics today?"

Troubleshooting Marketaux MCP Server with LangChain

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

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Marketaux + LangChain FAQ

Common questions about integrating Marketaux 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 Marketaux to LangChain

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.