How to integrate Finage MCP with Autogen

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.

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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 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

ChatGPTOpenAI Agents SDKClaude Agent SDKClaude CodeClaude CoworkCodexOpenCodeCursorVS CodeOpenClawHermesCLIGoogle ADKLangChainVercel AI SDKMastra AILlamaIndexCrewAI

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.

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 step08 STEPS
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
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 python-dotenv
pip install autogen-agentchat autogen-ext-openai autogen-ext-tools

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

4

Set up environment variables

bash
COMPOSIO_API_KEY=your-composio-api-key
OPENAI_API_KEY=your-openai-api-key
USER_ID=your-user-identifier@example.com

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
5

Import dependencies and create Tool Router session

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
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
6

Configure MCP parameters for Autogen

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")}
)

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
7

Create the model client and agent

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
    )

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
8

Run the interactive chat 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")
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

Complete Code

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

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.
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.

FRAMEWORKS

How to build Finage MCP Agent with another framework

ChatGPT logo

ChatGPT

Use Finage MCP with ChatGPT

OpenAI Agents SDK logo

OpenAI Agents SDK

Use Finage MCP with OpenAI Agents SDK

Claude Agent SDK logo

Claude Agent SDK

Use Finage MCP with Claude Agent SDK

Claude Code logo

Claude Code

Use Finage MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use Finage MCP with Claude Cowork

Codex logo

Codex

Use Finage MCP with Codex

Cursor logo

Cursor

Use Finage MCP with Cursor

OpenClaw logo

OpenClaw

Use Finage MCP with OpenClaw

Hermes logo

Hermes

Use Finage MCP with Hermes

CLI logo

CLI

Use Finage MCP with CLI

Google ADK logo

Google ADK

Use Finage MCP with Google ADK

LangChain logo

LangChain

Use Finage MCP with LangChain

Vercel AI SDK logo

Vercel AI SDK

Use Finage MCP with Vercel AI SDK

Mastra AI logo

Mastra AI

Use Finage MCP with Mastra AI

LlamaIndex logo

LlamaIndex

Use Finage MCP with LlamaIndex

CrewAI logo

CrewAI

Use Finage MCP with CrewAI

OpenCode logo

OpenCode

Use Finage MCP with OpenCode

VS Code logo

VS Code

Use Finage MCP with VS Code

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. 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.

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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Customer stories

Teams ship real agents on Composio

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agent.aiZoomLettaGleanHubSpotAWSWabi

Karan skipped his own birthday party to fix our critical issue. It was 10pm and he diverted his Waymo to help us instead. This really sets the bar — it shows the commitment you need when users rely on your software.

Harsha Gaddipati
Harsha Gaddipati
Co-founder, Slashy

A lot of students tell us that the moment their connected tools start talking to each other inside Opennote feels almost magical. The agent just knows them, and it's immensely helped keep new users on the platform.

Abhi Arya
Abhi Arya
Co-founder, Opennote

We chose Composio over Pipedream because it delivered depth where it mattered — niche tools and tricky edge cases other platforms simply ignored. That gave us confidence to scale without compromising.

Nirman Dave
Nirman Dave
CEO, Zams

As a solo builder, shipping fast is life or death. The only way I can outcompete incumbents is by outmanoeuvring them. Getting bogged down managing agent auth would have been a death sentence.

Ryan Yu
Ryan Yu
Founder, Extra Thursday

Before Composio, adding tool integrations was slow and resource-intensive. Each one could take weeks of engineering time, and maintaining them meant constantly keeping up with API changes.

Tomisin Jenrola
Tomisin Jenrola
Founder & CEO, SwarmZero

With hands-on help from their founder, we integrated Gmail and Google Drive in just 30 minutes. This level of personal support and commitment is exactly what startups should strive for.

Jerome Leclanche
Jerome Leclanche
Co-Founder, Ingram Technologies