How to integrate Finage MCP with Pydantic AI

This guide walks you through connecting Finage to Pydantic AI using the Composio tool router. By the end, you'll have a working Finage agent that can show real-time quote for aapl stock, summarize today's news for tsla, get last week's price history for msft through natural language commands. This guide will help you understand how to give your Pydantic AI agent real control over a Finage account through Composio's Finage MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

Finage logoFinage
Api Key

Finage is a secure API platform delivering real-time and historical financial data for stocks, forex, crypto, indices, and commodities. It empowers developers and businesses to access, analyze, and act on market data instantly.

39 Tools

Introduction

This guide walks you through connecting Finage to Pydantic AI using the Composio tool router. By the end, you'll have a working Finage agent that can show real-time quote for aapl stock, summarize today's news for tsla, get last week's price history for msft through natural language commands.

This guide will help you understand how to give your Pydantic AI agent real control over a Finage account through Composio's Finage MCP server.

Before we dive in, let's take a quick look at the key ideas and tools involved.

Also integrate Finage with

TL;DR

Here's what you'll learn:
  • How to set up your Composio API key and User ID
  • How to create a Composio Tool Router session for Finage
  • How to attach an MCP Server to a Pydantic AI agent
  • How to stream responses and maintain chat history
  • How to build a simple REPL-style chat interface to test your Finage workflows

What is Pydantic AI?

Pydantic AI is a Python framework for building AI agents with strong typing and validation. It leverages Pydantic's data validation capabilities to create robust, type-safe AI applications.

Key features include:

  • Type Safety: Built on Pydantic for automatic data validation
  • MCP Support: Native support for Model Context Protocol servers
  • Streaming: Built-in support for streaming responses
  • Async First: Designed for async/await patterns

What is the Finage MCP server, and what's possible with it?

The Finage MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Finage account. It provides structured and secure access to real-time and historical financial market data, so your agent can perform actions like fetching live stock quotes, analyzing market trends, retrieving news, and monitoring market status on your behalf.

  • Real-time stock quotes and market snapshots: Instantly get up-to-date price quotes, volume, bid/ask details, or aggregate snapshots for one or multiple stocks at once.
  • Historical and end-of-day data retrieval: Have your agent pull detailed historical or end-of-day OHLCV data for any stock symbol to analyze trends or generate reports.
  • Market news and updates analysis: Stay on top of the latest financial news, filtered by specific stocks, to inform investment decisions or research market events.
  • Market status and exchange monitoring: Check if major stock markets are open or closed, review trading hours, and plan automated trades based on real-time market status.
  • Tick-by-tick and previous close data access: Dive into granular tick-level trade data or review the previous day's close for any symbol to support high-frequency trading or day-over-day analysis.

What is the Composio tool router, and how does it fit here?

What is Composio SDK?

Composio's Composio SDK helps agents find the right tools for a task at runtime. You can plug in multiple toolkits (like Gmail, HubSpot, and GitHub), and the agent will identify the relevant app and action to complete multi-step workflows. This can reduce token usage and improve the reliability of tool calls. Read more here: Getting started with Composio SDK

The tool router generates a secure MCP URL that your agents can access to perform actions.

How the Composio SDK works

The Composio SDK follows a three-phase workflow:

  1. Discovery: Searches for tools matching your task and returns relevant toolkits with their details.
  2. Authentication: Checks for active connections. If missing, creates an auth config and returns a connection URL via Auth Link.
  3. Execution: Executes the action using the authenticated connection.

Step-by-step Guide

Step by step09 STEPS
1

Prerequisites

Before starting, make sure you have:
  • Python 3.9 or higher
  • A Composio account with an active API key
  • Basic familiarity with Python and async programming
2

Getting API Keys for OpenAI and Composio

OpenAI API Key
  • Go to the OpenAI dashboard and create an API key. You'll need credits to use the models, or you can connect to another model provider.
  • Keep the API key safe.
Composio API Key
  • Log in to the Composio dashboard.
  • Navigate to your API settings and generate a new API key.
  • Store this key securely as you'll need it for authentication.
3

Install dependencies

bash
pip install composio pydantic-ai python-dotenv

Install the required libraries.

What's happening:

  • composio connects your agent to external SaaS tools like Finage
  • pydantic-ai lets you create structured AI agents with tool support
  • python-dotenv loads your environment variables securely from a .env file
4

Set up environment variables

bash
COMPOSIO_API_KEY=your_composio_api_key_here
USER_ID=your_user_id_here
OPENAI_API_KEY=your_openai_api_key

Create a .env file in your project root.

What's happening:

  • COMPOSIO_API_KEY authenticates your agent to Composio's API
  • USER_ID associates your session with your account for secure tool access
  • OPENAI_API_KEY to access OpenAI LLMs
5

Import dependencies

python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerStreamableHTTP

load_dotenv()
What's happening:
  • We load environment variables and import required modules
  • Composio manages connections to Finage
  • MCPServerStreamableHTTP connects to the Finage MCP server endpoint
  • Agent from Pydantic AI lets you define and run the AI assistant
6

Create a Tool Router Session

python
async def main():
    api_key = os.getenv("COMPOSIO_API_KEY")
    user_id = os.getenv("USER_ID")
    if not api_key or not user_id:
        raise RuntimeError("Set COMPOSIO_API_KEY and USER_ID in your environment")

    # Create a Composio Tool Router session for Finage
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["finage"],
    )
    url = session.mcp.url
    if not url:
        raise ValueError("Composio session did not return an MCP URL")
What's happening:
  • We're creating a Tool Router session that gives your agent access to Finage tools
  • The create method takes the user ID and specifies which toolkits should be available
  • The returned session.mcp.url is the MCP server URL that your agent will use
7

Initialize the Pydantic AI Agent

python
# Attach the MCP server to a Pydantic AI Agent
finage_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
agent = Agent(
    "openai:gpt-5",
    toolsets=[finage_mcp],
    instructions=(
        "You are a Finage assistant. Use Finage tools to help users "
        "with their requests. Ask clarifying questions when needed."
    ),
)
What's happening:
  • The MCP client connects to the Finage endpoint
  • The agent uses GPT-5 to interpret user commands and perform Finage operations
  • The instructions field defines the agent's role and behavior
8

Build the chat interface

python
# Simple REPL with message history
history = []
print("Chat started! Type 'exit' or 'quit' to end.\n")
print("Try asking the agent to help you with Finage.\n")

while True:
    user_input = input("You: ").strip()
    if user_input.lower() in {"exit", "quit", "bye"}:
        print("\nGoodbye!")
        break
    if not user_input:
        continue

    print("\nAgent is thinking...\n", flush=True)

    async with agent.run_stream(user_input, message_history=history) as stream_result:
        collected_text = ""
        async for chunk in stream_result.stream_output():
            text_piece = None
            if isinstance(chunk, str):
                text_piece = chunk
            elif hasattr(chunk, "delta") and isinstance(chunk.delta, str):
                text_piece = chunk.delta
            elif hasattr(chunk, "text"):
                text_piece = chunk.text
            if text_piece:
                collected_text += text_piece
        result = stream_result

    print(f"Agent: {collected_text}\n")
    history = result.all_messages()
What's happening:
  • The agent reads input from the terminal and streams its response
  • Finage API calls happen automatically under the hood
  • The model keeps conversation history to maintain context across turns
9

Run the application

python
if __name__ == "__main__":
    asyncio.run(main())
What's happening:
  • The asyncio loop launches the agent and keeps it running until you exit

Complete Code

Here's the complete code to get you started with Finage and Pydantic AI:

python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerStreamableHTTP

load_dotenv()

async def main():
    api_key = os.getenv("COMPOSIO_API_KEY")
    user_id = os.getenv("USER_ID")
    if not api_key or not user_id:
        raise RuntimeError("Set COMPOSIO_API_KEY and USER_ID in your environment")

    # Create a Composio Tool Router session for Finage
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["finage"],
    )
    url = session.mcp.url
    if not url:
        raise ValueError("Composio session did not return an MCP URL")

    # Attach the MCP server to a Pydantic AI Agent
    finage_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
    agent = Agent(
        "openai:gpt-5",
        toolsets=[finage_mcp],
        instructions=(
            "You are a Finage assistant. Use Finage tools to help users "
            "with their requests. Ask clarifying questions when needed."
        ),
    )

    # Simple REPL with message history
    history = []
    print("Chat started! Type 'exit' or 'quit' to end.\n")
    print("Try asking the agent to help you with Finage.\n")

    while True:
        user_input = input("You: ").strip()
        if user_input.lower() in {"exit", "quit", "bye"}:
            print("\nGoodbye!")
            break
        if not user_input:
            continue

        print("\nAgent is thinking...\n", flush=True)

        async with agent.run_stream(user_input, message_history=history) as stream_result:
            collected_text = ""
            async for chunk in stream_result.stream_output():
                text_piece = None
                if isinstance(chunk, str):
                    text_piece = chunk
                elif hasattr(chunk, "delta") and isinstance(chunk.delta, str):
                    text_piece = chunk.delta
                elif hasattr(chunk, "text"):
                    text_piece = chunk.text
                if text_piece:
                    collected_text += text_piece
            result = stream_result

        print(f"Agent: {collected_text}\n")
        history = result.all_messages()

if __name__ == "__main__":
    asyncio.run(main())

Conclusion

You've built a Pydantic AI agent that can interact with Finage through Composio's Tool Router. With this setup, your agent can perform real Finage actions through natural language. You can extend this further by:
  • Adding other toolkits like Gmail, HubSpot, or Salesforce
  • Building a web-based chat interface around this agent
  • Using multiple MCP endpoints to enable cross-app workflows (for example, Gmail + Finage for workflow automation)
This architecture makes your AI agent "agent-native", able to securely use APIs in a unified, composable way without custom integrations.
TOOLS

Supported Tools

Every Finage action and event your agent gets out of the box.

Convert Cryptocurrencies

Tool to convert cryptocurrencies using real-time exchange rates from the Finage API.

Convert Currency

Tool to convert currencies using real-time forex exchange rates from Finage API.

Get US Treasury Bond Rate

Retrieve the current interest rate for a US Treasury bond by maturity.

Get Country Details

Tool to retrieve detailed information about a country including currency, phone code, and flag.

Get Crypto Aggregates

Tool to retrieve aggregated OHLCV time-series data for cryptocurrency pairs over specified time periods.

Get Crypto Detail

Tool to get detailed fundamental information about a cryptocurrency including description, developers, website, social media links, and technical details.

Get Detailed Crypto Information

This tool fetches detailed cryptocurrency information including current price, price changes, volume, market cap, and historical highs/lows for a specific cryptocurrency pair.

Get Crypto Last Quote

Tool to get the last quote with bid/ask prices in real-time for a cryptocurrency pair.

Get Crypto Last Trade

Tool to get the latest trade information and prices in real-time for a cryptocurrency pair.

Get Crypto News

Tool to retrieve real-time and historical news for cryptocurrency markets with fast In-Memory Cache Engine.

Get Crypto Previous Close Data

Tool to get the previous day's closing data for a cryptocurrency pair.

Get Crypto Snapshot

Tool to get a comprehensive snapshot of cryptocurrency market data with latest quotes and trades in one request.

Get Currency Detail

Tool to get detailed information about a forex currency pair including currency codes and country flags.

Get Forex Last Quote

Tool to get the latest real-time bid/ask quote for a forex pair or metal (e.

Get Forex Last Trade

Tool to get the last trade information for a forex currency pair.

Get Forex Market Aggregates

Tool to retrieve aggregated OHLCV (Open, High, Low, Close, Volume) data for forex and metal pairs over specified time periods.

Get Forex News

Tool to retrieve real-time and historical news for forex markets from Finage's API.

Get Forex Previous Close Data

Tool to get the previous day's closing data for a forex currency pair.

Get Forex Snapshot

Tool to get a comprehensive snapshot of forex market data with latest quotes and trades in one request.

Get Most Active US Stocks

Tool to get a list of the most actively traded US stocks.

Get SEC RSS Feed

Tool to retrieve the SEC RSS feed for recent EDGAR filings.

Get Sector Performance

Tool to retrieve performance metrics across US market sectors.

Get Stock Company Details

Tool to retrieve detailed company information and stock fundamentals for a given ticker symbol.

Get Stock Last Quote

Fetches the latest single-tick quote for a stock symbol, returning a JSON object with fields: symbol, ask, bid, asize, bsize, and timestamp.

Get Stock Last Trade

Tool to get the most recent trade information for a specified US stock symbol.

Get Stock Market Aggregates

Retrieves aggregated OHLCV (Open, High, Low, Close, Volume) data for US stocks only.

Get Stock Market News

This tool retrieves the latest market news from Finage's API.

Get Stock Market Status

Tool to check if stock, forex, and crypto markets are open, closed, or in extended hours.

Get Stock Previous Close Data

This tool retrieves the previous day's closing data for a specific stock symbol.

Get Stock Snapshot

Tool to get comprehensive snapshot of all US stock market data including latest quotes and trades with one single API request.

Get Technical Indicators

Tool to get technical indicators and signals for stocks from Finage API.

Get Top Gaining US Stocks

Tool to get list of top gaining US stocks by percentage change.

Get Top Losing US Stocks

Tool to get list of top losing US stocks by percentage change.

List Cryptocurrencies by Market Cap

Tool to get a list of all available cryptocurrencies ranked by market capitalization.

List Symbols by Market Type

Tool to get a paginated list of all available symbols for a specified market type (us-stock, ca-stock, in-stock, ru-stock, forex, crypto, index).

Search Country

Tool to search for countries by name and retrieve their details including country code, currency, flag, and phone code.

Search Cryptocurrency

Tool to search for cryptocurrencies by name or symbol.

Search Currency

Tool to search for currency pairs and forex symbols by currency code or partial match.

Search Market for Stocks

Tool to search for stocks in a specific market by company name or symbol.

FAQ

Frequently asked questions

With a standalone Finage MCP server, the agents and LLMs can only access a fixed set of Finage tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Finage and many other apps based on the task at hand, all through a single MCP endpoint.

Yes, you can. Pydantic AI fully supports MCP integration. You get structured tool calling, message history handling, and model orchestration while Tool Router takes care of discovering and serving the right Finage tools.

Yes, absolutely. You can configure which Finage scopes and actions are allowed when connecting your account to Composio. You can also bring your own OAuth credentials or API configuration so you keep full control over what the agent can do.

All sensitive data such as tokens, keys, and configuration is fully encrypted at rest and in transit. Composio is SOC 2 Type 2 compliant and follows strict security practices so your Finage data and credentials are handled as safely as possible.

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