How to integrate Fidel api MCP with Autogen

This guide walks you through connecting Fidel api to AutoGen using the Composio tool router. By the end, you'll have a working Fidel api agent that can register a new loyalty program for our stores, create a webhook for real-time offer updates, fetch details of a specific payment brand through natural language commands. This guide will help you understand how to give your AutoGen agent real control over a Fidel api account through Composio's Fidel api MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

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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.

39 Tools

Introduction

This guide walks you through connecting Fidel api to AutoGen using the Composio tool router. By the end, you'll have a working Fidel api agent that can register a new loyalty program for our stores, create a webhook for real-time offer updates, fetch details of a specific payment brand through natural language commands.

This guide will help you understand how to give your AutoGen agent real control over a Fidel api account through Composio's Fidel api MCP server.

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

Also integrate Fidel api with

OpenAI Agents SDKClaude Agent SDKClaude CodeClaude CoworkCodexOpenClawHermesCLIGoogle 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 Fidel api
  • Wire that MCP URL into Autogen using McpWorkbench and StreamableHttpServerParams
  • Configure an Autogen AssistantAgent that can call Fidel api tools
  • Run a live chat loop where you ask the agent to perform Fidel api 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 Fidel api MCP server, and what's possible with it?

The Fidel api MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Fidel api account. It provides structured and secure access to your Fidel API tools, so your agent can perform actions like creating brands, managing programs, retrieving offers, handling webhooks, and more on your behalf.

  • Brand and program creation: Easily instruct your agent to register new brands or set up loyalty programs for your business, streamlining onboarding and expansion.
  • Real-time webhook management: Let your agent create or delete webhooks so you can receive instant notifications for important program events without manual setup.
  • Detailed entity retrieval: Have your agent fetch comprehensive details about brands, programs, offers, or webhooks whenever you need insights or verification.
  • Offer and webhook deletion: Direct your agent to remove outdated offers or webhooks, keeping your Fidel API environment clean and up-to-date.
  • End-to-end automation for payment integrations: Allow your agent to manage the full lifecycle of brands, programs, and event hooks, helping you build seamless payment-linked experiences with minimal effort.

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 Fidel api 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 Fidel api 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 Fidel api 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 Fidel api session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["fidel_api"]
    )
    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 Fidel api 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 Fidel api assistant agent with MCP tools
    agent = AssistantAgent(
        name="fidel_api_assistant",
        description="An AI assistant that helps with Fidel api 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 Fidel api 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 Fidel api 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 Fidel api 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 Fidel api 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 Fidel api session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["fidel_api"]
    )
    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 Fidel api assistant agent with MCP tools
        agent = AssistantAgent(
            name="fidel_api_assistant",
            description="An AI assistant that helps with Fidel api 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 Fidel api 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 Fidel api 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 Fidel api, you can reuse the same structure for other MCP-enabled apps with minimal code changes.
TOOLS

Supported Tools

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

Create Brand

Create a new brand in Fidel API.

Create Brand Webhook

Tool to create a webhook at the brand level for receiving real-time event notifications.

Create Location

Create a new location for a program in Fidel API.

Create MID Request

Tool to create a new MID (Merchant ID) request for a specific program and location.

Create Offer

Create a new offer in Fidel API.

Create Program

Creates a new card-linked loyalty program in Fidel.

Create Program Webhook

Tool to register a new webhook for program-related events.

Delete Location

Tool to delete a location by its ID.

Delete Offer

Tool to delete a specified offer by its ID.

Delete Program Webhook

Permanently deletes a webhook by its ID.

Get Brand

Tool to retrieve information about a specific brand.

Get Location

Tool to retrieve details of a specific location by its ID.

Get MID

Tool to retrieve details of a specific MID (Merchant ID).

Get MID Request

Tool to retrieve details of a specific MID request.

Get Offer

Retrieves detailed information about a specific offer by its unique ID.

Get Program

Tool to retrieve details of a specific program.

Get Transaction

Tool to retrieve details of a specific transaction by its ID.

Get Webhook

Retrieve details of a specific webhook by its unique identifier.

Link All Program Locations to Offer

Tool to link all brand locations in a program to an offer.

Link Location to Offer

Link a location to an offer in Fidel API.

List Brands

Retrieves a paginated list of all brands associated with your Fidel API account.

List Cards

List all payment cards linked to a Fidel program.

List Cards By Metadata

Tool to list payment cards filtered by metadata ID.

List Cards with Active Offer

List all payment cards that have activated a specific offer.

List Locations

Tool to list all locations for a program.

List Locations by Brand

Tool to list all locations for a specific brand within a program.

List Locations by Offer

Tool to list all locations linked to a specific offer.

List MID Requests

List all MID (Merchant ID) requests for a specific program.

List MIDs

Tool to list all MIDs (Merchant IDs) for a program.

List Missing Transaction Requests

Tool to list all missing transaction requests for a specific program.

List Offers

List all offers in the Fidel API.

List Programs

List all Fidel programs in your account.

List Program Webhooks

Tool to list all registered webhooks for a specific program.

List Transactions

List transactions for a Fidel program with optional filtering and pagination.

Unlink Location From Offer

Tool to unlink a location from an offer by removing the location association.

Update Brand

Update an existing brand's details in Fidel API.

Update Offer

Updates specific properties of an existing offer.

Update Program

Updates a Fidel API program's properties.

Update Webhook

Tool to update an existing webhook's configuration.

FRAMEWORKS

How to build Fidel api MCP Agent with another framework

OpenAI Agents SDK logo

OpenAI Agents SDK

Use Fidel api MCP with OpenAI Agents SDK

Claude Agent SDK logo

Claude Agent SDK

Use Fidel api MCP with Claude Agent SDK

Claude Code logo

Claude Code

Use Fidel api MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use Fidel api MCP with Claude Cowork

Codex logo

Codex

Use Fidel api MCP with Codex

OpenClaw logo

OpenClaw

Use Fidel api MCP with OpenClaw

Hermes logo

Hermes

Use Fidel api MCP with Hermes

CLI logo

CLI

Use Fidel api MCP with CLI

Google ADK logo

Google ADK

Use Fidel api MCP with Google ADK

LangChain logo

LangChain

Use Fidel api MCP with LangChain

Vercel AI SDK logo

Vercel AI SDK

Use Fidel api MCP with Vercel AI SDK

Mastra AI logo

Mastra AI

Use Fidel api MCP with Mastra AI

LlamaIndex logo

LlamaIndex

Use Fidel api MCP with LlamaIndex

CrewAI logo

CrewAI

Use Fidel api MCP with CrewAI

FAQ

Frequently asked questions

With a standalone Fidel api MCP server, the agents and LLMs can only access a fixed set of Fidel api tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Fidel api 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 Fidel api tools.

Yes, absolutely. You can configure which Fidel api 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 Fidel api data and credentials are handled as safely as possible.

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