Twelve Data MCP Server for LangChain 16 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Twelve Data through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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({
"twelve-data": {
"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 Twelve Data, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
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 Twelve Data MCP Server
Connect Twelve Data financial API to any AI agent and access real-time stock quotes, cryptocurrency prices, forex rates, and professional technical indicators through natural language.
LangChain's ecosystem of 500+ components combines seamlessly with Twelve Data through native MCP adapters. Connect 16 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
- Real-Time Quotes — Get current price, open, high, low, volume, and change for any stock
- Historical Data — Retrieve OHLCV candlestick data from 1-minute to monthly intervals
- Technical Analysis — Calculate SMA, EMA, RSI, MACD, Bollinger Bands, and Stochastic Oscillator
- Market Scanning — Search and browse available stocks, crypto pairs, and forex instruments
- Company Profiles — Access fundamental data including market cap, P/E ratio, and sector info
- Currency Conversion — Get exchange rates and convert amounts between any currency pair
The Twelve Data MCP Server exposes 16 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 Twelve Data to LangChain via MCP
Follow these steps to integrate the Twelve Data MCP Server with LangChain.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
Explore tools
The agent discovers 16 tools from Twelve Data via MCP
Why Use LangChain with the Twelve Data MCP Server
LangChain provides unique advantages when paired with Twelve Data through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Twelve Data MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across Twelve Data queries for multi-turn workflows
Twelve Data + LangChain Use Cases
Practical scenarios where LangChain combined with the Twelve Data MCP Server delivers measurable value.
RAG with live data: combine Twelve Data tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Twelve Data, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Twelve Data tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Twelve Data tool call, measure latency, and optimize your agent's performance
Twelve Data MCP Tools for LangChain (16)
These 16 tools become available when you connect Twelve Data to LangChain via MCP:
convert_currency
Convert an amount between currencies
get_bollinger_bands
Price touching upper band may indicate overbought, lower may indicate oversold. Get Bollinger Bands
get_company_profile
Get company profile and fundamentals
get_crypto_list
Can filter by exchange. List available crypto pairs
get_ema
EMA gives more weight to recent prices than SMA. Get Exponential Moving Average (EMA)
get_exchange_rate
Get currency exchange rate
get_forex_list
List available forex pairs
get_macd
Used for trend following and momentum. Get Moving Average Convergence Divergence (MACD)
get_quote
Get real-time stock quote
get_real_time_price
Faster and lighter than a full quote. Get current price only
get_rsi
Values above 70 indicate overbought, below 30 indicate oversold conditions. Get Relative Strength Index (RSI)
get_sma
Common periods: 20, 50, 200. Get Simple Moving Average (SMA)
get_stochastic
Values above 80 indicate overbought, below 20 indicate oversold. Get Stochastic Oscillator
get_stock_list
Can filter by exchange and partial symbol match. List available stocks
get_time_series
Supports intervals from 1min to 1month. Get historical OHLCV candle data
search_symbols
Can filter by instrument type and exchange. Search for financial instruments
Example Prompts for Twelve Data in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Twelve Data immediately.
"What's the current price of Apple stock?"
"Show me the RSI for Tesla on the daily chart."
"Convert 1000 USD to EUR."
Troubleshooting Twelve Data MCP Server with LangChain
Common issues when connecting Twelve Data to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersTwelve Data + LangChain FAQ
Common questions about integrating Twelve Data MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
Connect Twelve Data 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 Twelve Data to LangChain
Get your token, paste the configuration, and start using 16 tools in under 2 minutes. No API key management needed.