# How to integrate Finage MCP with Autogen

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

## Introduction

This guide walks you through connecting Finage to AutoGen 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 AutoGen 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:
- Get and set up your OpenAI and Composio API keys
- Install the required dependencies for Autogen and Composio
- Initialize Composio and create a Tool Router session for Finage
- Wire that MCP URL into Autogen using McpWorkbench and StreamableHttpServerParams
- Configure an Autogen AssistantAgent that can call Finage tools
- Run a live chat loop where you ask the agent to perform Finage operations

## What is AutoGen?

Autogen is a framework for building multi-agent conversational AI systems from Microsoft. It enables you to create agents that can collaborate, use tools, and maintain complex workflows.
Key features include:
- Multi-Agent Systems: Build collaborative agent workflows
- MCP Workbench: Native support for Model Context Protocol tools
- Streaming HTTP: Connect to external services through streamable HTTP
- AssistantAgent: Pre-built agent class for tool-using assistants

## 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 agents and assistants directly to Finage. Instead of manually wiring Finage APIs, OAuth, and scopes yourself, you get a structured, tool-based interface that an LLM can call safely.
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

You will need:
- A Composio API key
- An OpenAI API key (used by Autogen's OpenAIChatCompletionClient)
- A Finage account you can connect to Composio
- Some basic familiarity with Autogen and Python async

### 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 Composio, Autogen extensions, and dotenv.
What's happening:
- composio connects your agent to Finage via MCP
- autogen-agentchat provides the AssistantAgent class
- autogen-ext-openai provides the OpenAI model client
- autogen-ext-tools provides MCP workbench support
```bash
pip install composio python-dotenv
pip install autogen-agentchat autogen-ext-openai autogen-ext-tools
```

### 3. Set up environment variables

Create a .env file in your project folder.
What's happening:
- COMPOSIO_API_KEY is required to talk to Composio
- OPENAI_API_KEY is used by Autogen's OpenAI client
- USER_ID is how Composio identifies which user's Finage connections to use
```bash
COMPOSIO_API_KEY=your-composio-api-key
OPENAI_API_KEY=your-openai-api-key
USER_ID=your-user-identifier@example.com
```

### 4. Import dependencies and create Tool Router session

What's happening:
- load_dotenv() reads your .env file
- Composio(api_key=...) initializes the SDK
- create(...) creates a Tool Router session that exposes Finage tools
- session.mcp.url is the MCP endpoint that Autogen will connect to
```python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio

from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
from autogen_ext.tools.mcp import McpWorkbench, StreamableHttpServerParams

load_dotenv()

async def main():
    # Initialize Composio and create a Finage session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["finage"]
    )
    url = session.mcp.url
```

### 5. Configure MCP parameters for Autogen

Autogen expects parameters describing how to talk to the MCP server. That is what StreamableHttpServerParams is for.
What's happening:
- url points to the Tool Router MCP endpoint from Composio
- timeout is the HTTP timeout for requests
- sse_read_timeout controls how long to wait when streaming responses
- terminate_on_close=True cleans up the MCP server process when the workbench is closed
```python
# Configure MCP server parameters for Streamable HTTP
server_params = StreamableHttpServerParams(
    url=url,
    timeout=30.0,
    sse_read_timeout=300.0,
    terminate_on_close=True,
    headers={"x-api-key": os.getenv("COMPOSIO_API_KEY")}
)
```

### 6. Create the model client and agent

What's happening:
- OpenAIChatCompletionClient wraps the OpenAI model for Autogen
- McpWorkbench connects the agent to the MCP tools
- AssistantAgent is configured with the Finage tools from the workbench
```python
# Create model client
model_client = OpenAIChatCompletionClient(
    model="gpt-5",
    api_key=os.getenv("OPENAI_API_KEY")
)

# Use McpWorkbench as context manager
async with McpWorkbench(server_params) as workbench:
    # Create Finage assistant agent with MCP tools
    agent = AssistantAgent(
        name="finage_assistant",
        description="An AI assistant that helps with Finage operations.",
        model_client=model_client,
        workbench=workbench,
        model_client_stream=True,
        max_tool_iterations=10
    )
```

### 7. Run the interactive chat loop

What's happening:
- The script prompts you in a loop with You:
- Autogen passes your input to the model, which decides which Finage tools to call via MCP
- agent.run_stream(...) yields streaming messages as the agent thinks and calls tools
- Typing exit, quit, or bye ends the loop
```python
print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
print("Ask any Finage related question or task to the agent.\n")

# Conversation loop
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")

    # Run the agent with streaming
    try:
        response_text = ""
        async for message in agent.run_stream(task=user_input):
            if hasattr(message, "content") and message.content:
                response_text = message.content

        # Print the final response
        if response_text:
            print(f"Agent: {response_text}\n")
        else:
            print("Agent: I encountered an issue processing your request.\n")

    except Exception as e:
        print(f"Agent: Sorry, I encountered an error: {str(e)}\n")
```

## Complete Code

```python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio

from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
from autogen_ext.tools.mcp import McpWorkbench, StreamableHttpServerParams

load_dotenv()

async def main():
    # Initialize Composio and create a Finage session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["finage"]
    )
    url = session.mcp.url

    # Configure MCP server parameters for Streamable HTTP
    server_params = StreamableHttpServerParams(
        url=url,
        timeout=30.0,
        sse_read_timeout=300.0,
        terminate_on_close=True,
        headers={"x-api-key": os.getenv("COMPOSIO_API_KEY")}
    )

    # Create model client
    model_client = OpenAIChatCompletionClient(
        model="gpt-5",
        api_key=os.getenv("OPENAI_API_KEY")
    )

    # Use McpWorkbench as context manager
    async with McpWorkbench(server_params) as workbench:
        # Create Finage assistant agent with MCP tools
        agent = AssistantAgent(
            name="finage_assistant",
            description="An AI assistant that helps with Finage operations.",
            model_client=model_client,
            workbench=workbench,
            model_client_stream=True,
            max_tool_iterations=10
        )

        print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
        print("Ask any Finage related question or task to the agent.\n")

        # Conversation loop
        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")

            # Run the agent with streaming
            try:
                response_text = ""
                async for message in agent.run_stream(task=user_input):
                    if hasattr(message, 'content') and message.content:
                        response_text = message.content

                # Print the final response
                if response_text:
                    print(f"Agent: {response_text}\n")
                else:
                    print("Agent: I encountered an issue processing your request.\n")

            except Exception as e:
                print(f"Agent: Sorry, I encountered an error: {str(e)}\n")

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

## Conclusion

You now have an Autogen assistant wired into Finage through Composio's Tool Router and MCP. From here you can:
- Add more toolkits to the toolkits list, for example notion or hubspot
- Refine the agent description to point it at specific workflows
- Wrap this script behind a UI, Slack bot, or internal tool
Once the pattern is clear for Finage, you can reuse the same structure for other MCP-enabled apps with minimal code changes.

## 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 Autogen?

Yes, you can. Autogen 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.

---
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