Twelve Data MCP Server for Pydantic AI 16 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Twelve Data 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 Twelve Data "
"(16 tools)."
),
)
result = await agent.run(
"What tools are available in Twelve Data?"
)
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 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.
Pydantic AI validates every Twelve Data tool response against typed schemas, catching data inconsistencies at build time. Connect 16 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
- 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 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 Twelve Data to Pydantic AI via MCP
Follow these steps to integrate the Twelve Data 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 16 tools from Twelve Data with type-safe schemas
Why Use Pydantic AI with the Twelve Data MCP Server
Pydantic AI provides unique advantages when paired with Twelve Data 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 Twelve Data integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Twelve Data connection logic from agent behavior for testable, maintainable code
Twelve Data + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Twelve Data MCP Server delivers measurable value.
Type-safe data pipelines: query Twelve Data with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Twelve Data tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Twelve Data and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Twelve Data responses and write comprehensive agent tests
Twelve Data MCP Tools for Pydantic AI (16)
These 16 tools become available when you connect Twelve Data to Pydantic AI 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 Pydantic AI
Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI
Common issues when connecting Twelve Data to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiTwelve Data + Pydantic AI FAQ
Common questions about integrating Twelve Data 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 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 Pydantic AI
Get your token, paste the configuration, and start using 16 tools in under 2 minutes. No API key management needed.