# How to integrate Finage MCP with Pydantic AI

```json
{
  "title": "How to integrate Finage MCP with Pydantic AI",
  "toolkit": "Finage",
  "toolkit_slug": "finage",
  "framework": "Pydantic AI",
  "framework_slug": "pydantic-ai",
  "url": "https://composio.dev/toolkits/finage/framework/pydantic-ai",
  "markdown_url": "https://composio.dev/toolkits/finage/framework/pydantic-ai.md",
  "updated_at": "2026-05-06T08:11:35.566Z"
}
```

## 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

- [ChatGPT](https://composio.dev/toolkits/finage/framework/chatgpt)
- [OpenAI Agents SDK](https://composio.dev/toolkits/finage/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/finage/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/finage/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/finage/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/finage/framework/codex)
- [Cursor](https://composio.dev/toolkits/finage/framework/cursor)
- [VS Code](https://composio.dev/toolkits/finage/framework/vscode)
- [OpenCode](https://composio.dev/toolkits/finage/framework/opencode)
- [OpenClaw](https://composio.dev/toolkits/finage/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/finage/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/finage/framework/cli)
- [Google ADK](https://composio.dev/toolkits/finage/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/finage/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/finage/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/finage/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/finage/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/finage/framework/crew-ai)

## 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.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `FINAGE_GET_STOCK_DETAILS` | Get Stock Quote | This tool retrieves real-time stock quote information for a given stock symbol. it provides current price, price changes, trading volume, and other key market data. |
| `FINAGE_GET_STOCK_END_OF_DAY_DATA` | Get Stock End-of-Day Data | This tool retrieves the end-of-day data for a specific stock symbol. it provides the opening price, highest price, lowest price, closing price, trading volume, and timestamp for the most recent completed trading day, making it essential for investors and analysts seeking daily summary data without intraday details. |
| `FINAGE_GET_STOCK_HISTORICAL_DATA` | Get Stock Historical Data | This tool will fetch historical daily stock data for a given stock symbol between specified dates. it provides ohlcv data (open, high, low, close, volume) and is independent, requiring only the stock symbol, date range inputs, and authentication. |
| `FINAGE_GET_STOCK_LAST_QUOTE` | Get Stock Last Quote | This tool fetches the latest quote information for a specific stock symbol, providing real-time bid and ask prices, along with their respective sizes and a timestamp. it is essential for trading and market analysis, fetching a json object with details like symbol, ask, bid, asize, bsize, and timestamp. |
| `FINAGE_GET_STOCK_MARKET_AGGREGATES` | Get Stock Market Aggregates | This tool retrieves aggregated ohlcv (open, high, low, close, volume) data for stocks over specified time periods. it allows users to provide parameters such as stock symbol, time multiplier, aggregation period, start date, and end date to obtain market aggregates. |
| `FINAGE_GET_STOCK_MARKET_NEWS` | Get Stock Market News | This tool retrieves the latest market news from finage's api. it provides comprehensive market news and updates, including news filtering by specific stock symbols, thereby supporting real-time market insights, investment decisions, and research on market trends. |
| `FINAGE_GET_STOCK_MARKET_SNAPSHOT` | Get Stock Market Snapshot | This tool provides a comprehensive snapshot of the us stock market data, allowing users to get the latest quotes and trades for multiple stocks in a single api request. it is ideal as the first tool because it offers broad market coverage, does not require resource ids or external dependencies, and can be used independently with just api authentication. |
| `FINAGE_GET_STOCK_MARKET_STATUS` | Get Stock Market Status | This tool retrieves the current market status for various stock exchanges by determining if markets are open or closed. it requires an api key and returns details such as the market type, server time, and next open/close times, which are essential for trade planning and automation. |
| `FINAGE_GET_STOCK_PREVIOUS_CLOSE` | Get Stock Previous Close Data | This tool retrieves the previous day's closing data for a specific stock symbol. it provides essential trading information including the opening price, highest price, lowest price, closing price, trading volume, and timestamp for the previous trading day. it complements other finage tools by offering detailed previous day data, which is useful for computing day-over-day change and informing daily trading analysis. |
| `FINAGE_GET_STOCK_TICK_DATA` | Get Stock Tick Data | The stock tick data api provides detailed tick-by-tick trading data for a specific stock symbol. this endpoint is crucial for precise market analysis and high-frequency trading applications. |

## Supported Triggers

None listed.

## Creating MCP Server - Stand-alone vs Composio SDK

The Finage MCP server is an implementation of the Model Context Protocol that connects your AI agent to Finage. It provides structured and secure access so your agent can perform Finage operations on your behalf through a secure, permission-based interface.
With Composio's managed implementation, you don't have to create your own developer app. For production, if you're building an end product, we recommend using your own credentials. The managed server helps you prototype fast and go from 0-1 faster.

## Step-by-step Guide

### 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

### 1. Getting API Keys for OpenAI and Composio

OpenAI API Key
- Go to the [OpenAI dashboard](https://platform.openai.com/settings/organization/api-keys) 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](https://dashboard.composio.dev?utm_source=toolkits&utm_medium=framework_docs).
- Navigate to your API settings and generate a new API key.
- Store this key securely as you'll need it for authentication.

### 2. Install dependencies

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
```bash
pip install composio pydantic-ai python-dotenv
```

### 3. Set up environment variables

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
```bash
COMPOSIO_API_KEY=your_composio_api_key_here
USER_ID=your_user_id_here
OPENAI_API_KEY=your_openai_api_key
```

### 4. Import dependencies

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
```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()
```

### 5. Create a Tool Router Session

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
```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")
```

### 6. Initialize the Pydantic AI Agent

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
```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."
    ),
)
```

### 7. Build the chat interface

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
```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()
```

### 8. Run the application

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

## Complete Code

```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.

## How to build Finage MCP Agent with another framework

- [ChatGPT](https://composio.dev/toolkits/finage/framework/chatgpt)
- [OpenAI Agents SDK](https://composio.dev/toolkits/finage/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/finage/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/finage/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/finage/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/finage/framework/codex)
- [Cursor](https://composio.dev/toolkits/finage/framework/cursor)
- [VS Code](https://composio.dev/toolkits/finage/framework/vscode)
- [OpenCode](https://composio.dev/toolkits/finage/framework/opencode)
- [OpenClaw](https://composio.dev/toolkits/finage/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/finage/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/finage/framework/cli)
- [Google ADK](https://composio.dev/toolkits/finage/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/finage/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/finage/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/finage/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/finage/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/finage/framework/crew-ai)

## Related Toolkits

- [Stripe](https://composio.dev/toolkits/stripe) - Stripe is a global online payments platform offering APIs for managing payments, customers, and subscriptions. Trusted by businesses for secure, efficient, and scalable payment processing worldwide.
- [Alpha vantage](https://composio.dev/toolkits/alpha_vantage) - Alpha Vantage is a financial data platform offering real-time and historical stock market APIs. Get instant, reliable access to equities, forex, and technical analysis data for smarter trading decisions.
- [Altoviz](https://composio.dev/toolkits/altoviz) - Altoviz is a cloud-based billing and invoicing platform for businesses. It streamlines online payments, expense tracking, and customizable invoice management.
- [Benzinga](https://composio.dev/toolkits/benzinga) - Benzinga provides real-time financial news and data APIs for market coverage. It helps you track breaking news and actionable market insights instantly.
- [Brex](https://composio.dev/toolkits/brex) - Brex provides corporate credit cards and spend management tailored for startups and tech businesses. It helps optimize company cash flow, streamline accounting, and accelerate business growth.
- [Chaser](https://composio.dev/toolkits/chaser) - Chaser is accounts receivable automation software that sends invoice reminders and helps businesses get paid faster. It streamlines the collections process to save time and improve cash flow.
- [Clientary](https://composio.dev/toolkits/clientary) - Clientary is a platform for managing clients, invoices, projects, proposals, and more. It streamlines client work and saves you serious admin time.
- [Coinbase](https://composio.dev/toolkits/coinbase) - Coinbase is a platform for buying, selling, and storing cryptocurrency. It makes exchanging and managing crypto simple and secure for everyone.
- [Coinranking](https://composio.dev/toolkits/coinranking) - Coinranking is a comprehensive cryptocurrency market data platform offering access to real-time coin prices, market caps, and historical data. Get accurate, up-to-date stats for thousands of digital assets in one place.
- [Coupa](https://composio.dev/toolkits/coupa) - Coupa is a business spend management platform for procurement, invoicing, and expenses. It helps organizations streamline purchasing, control costs, and gain complete visibility over financial operations.
- [CurrencyScoop](https://composio.dev/toolkits/currencyscoop) - CurrencyScoop is a developer-friendly API for real-time and historical currency exchange rates. Easily access fiat and crypto data for smart, up-to-date financial applications.
- [Daffy](https://composio.dev/toolkits/daffy) - Daffy is a modern charitable giving platform with a donor-advised fund. Easily set aside funds, grow them tax-free, and donate to over 1.7 million U.S. charities.
- [Eagle doc](https://composio.dev/toolkits/eagle_doc) - Eagle doc is an AI-powered OCR API for invoices and receipts. It delivers fast, reliable, and accurate document data extraction for seamless automation.
- [Elorus](https://composio.dev/toolkits/elorus) - Elorus is an online invoicing and time-tracking software for freelancers and small businesses. Easily manage finances, bill clients, and track work in one place.
- [Eodhd apis](https://composio.dev/toolkits/eodhd_apis) - Eodhd apis delivers comprehensive financial data, including live and historical stock prices, via robust APIs. Easily access reliable, up-to-date market insights to power your apps, dashboards, and analytics.
- [Fidel api](https://composio.dev/toolkits/fidel_api) - Fidel api is a secure platform for linking payment cards to web and mobile apps. It enables real-time card transaction monitoring and event-based automation for businesses.
- [Finmei](https://composio.dev/toolkits/finmei) - Finmei is an invoicing tool that simplifies billing, invoice management, and expense tracking. Ideal for automating and organizing your business finances in one place.
- [Fixer](https://composio.dev/toolkits/fixer) - Fixer is a currency data API offering real-time and historical exchange rates for 170 currencies. Instantly access accurate, up-to-date forex data for your applications and workflows.
- [Fixer io](https://composio.dev/toolkits/fixer_io) - Fixer.io is a lightweight API for real-time and historical foreign exchange rates. It makes global currency conversion fast, accurate, and hassle-free.
- [Flutterwave](https://composio.dev/toolkits/flutterwave) - Flutterwave is a global payments platform enabling businesses to accept and send payments across Africa and beyond. Its robust APIs simplify cross-border transactions and financial operations.

## Frequently Asked Questions

### What are the differences in Tool Router MCP and Finage MCP?

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.

### Can I use Tool Router MCP with Pydantic AI?

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.

### Can I manage the permissions and scopes for Finage while using Tool Router?

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.

### How safe is my data with Composio Tool Router?

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.

---
[See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)
