Faraday with AutoGen

How to integrate Faraday MCP with Autogen

Introduction TL;DR What is AutoGen What is the Faraday MCP server Supported Tools & Triggers Creating MCP Server - Stand-alone vs Tool Router Step-by-step Guide Complete Code Conclusion How to build Faraday MCP Agent with another framework Explore Other Toolkits FAQ

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Introduction

This guide walks you through connecting Faraday to AutoGen using the Composio tool router. By the end, you'll have a working Faraday agent that can enrich salesforce leads with predictive insights, automate email categorization using faraday ai, trigger customer follow-up based on faraday scores through natural language commands.

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

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

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 Faraday
Wire that MCP URL into Autogen using McpWorkbench and StreamableHttpServerParams
Configure an Autogen AssistantAgent that can call Faraday tools
Run a live chat loop where you ask the agent to perform Faraday 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 Faraday MCP server, and what's possible with it?

The Faraday MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Faraday account. It provides structured and secure access so your agent can perform Faraday operations on your behalf.

Supported Tools & Triggers

Tools

Archive CohortTool to archive a cohort in Faraday.

Archive ConnectionTool to archive a connection in Faraday.

Archive DatasetTool to archive a dataset in Faraday.

Archive OutcomeTool to archive an outcome in Faraday.

Archive Persona SetTool to archive a persona set in Faraday.

Archive PlaceTool to archive a place in Faraday.

Archive ScopeTool to archive a scope in Faraday.

Archive StreamTool to archive a stream in Faraday.

Archive TargetTool to archive a target in Faraday.

Archive TraitTool to archive a trait in Faraday.

Create AccountTool to create a new Faraday account with specified name and branding.

Create CohortsTool to create a new cohort in Faraday.

Create DatasetTool to create a new dataset in Faraday.

Create OutcomeTool to create a new outcome.

Create Persona SetTool to create a new persona set.

Create PlaceTool to create a new place in Faraday.

Create ScopeTool to create a new scope in Faraday.

Create StreamTool to create a new stream or find an existing stream by name.

Create Target PreviewTool to start a preview delivery for a target.

Create TargetTool to create a target in Faraday.

Create TraitTool to create a new trait in Faraday.

Create Webhook EndpointTool to create a new webhook endpoint.

Delete AccountTool to delete an account by its UUID.

Delete All Orphaned TraitsTool to delete all orphaned traits from Faraday.

Delete CohortTool to permanently delete a cohort from Faraday.

Delete ConnectionTool to delete a Faraday connection by its UUID.

Delete DatasetTool to delete a dataset from Faraday.

Delete OutcomeTool to delete an outcome by its UUID.

Delete Persona SetTool to delete a persona set.

Delete PlaceTool to delete a place by its UUID.

Delete ScopeTool to delete a scope by its UUID.

Delete StreamTool to delete a stream by its UUID or name.

Delete TargetTool to delete a target by its UUID.

Delete UploadPermanently deletes a file from a Faraday dataset directory.

Delete Webhook EndpointTool to delete a webhook endpoint by its UUID.

Force Update CohortTool to trigger a rerun for a cohort.

Force Update ConnectionTool to trigger a rerun for a Faraday connection.

Force Update DatasetTool to trigger a rerun for a dataset.

Force Update OutcomeTool to trigger a rerun for an outcome resource.

Force Update Persona SetTool to trigger a rerun for a persona set resource.

Force Update PlaceTool to trigger a rerun for a place.

Force Update ScopeTool to trigger a rerun for a scope resource.

Force Update StreamTool to trigger a rerun for a stream.

Force Update TargetTool to trigger a rerun for a target.

Force Update TraitTool to trigger a rerun for a trait.

Get AccountTool to retrieve detailed information about a Faraday account by its UUID.

List AccountsTool to list all Faraday accounts accessible by the current user.

Get Accounts BillingTool to get billing information about your account.

Get CohortTool to retrieve a specific cohort by ID.

Get Cohort Membership AnalysisTool to get cohort membership counts over time for a specific cohort.

List CohortsTool to list all cohorts in your Faraday account.

Get Connection DatasetsTool to retrieve all datasets that use a specific connection.

Get Connection TargetsTool to retrieve all targets that use a specific connection.

Get Current AccountTool to retrieve the current account information.

Get Current Account BillingTool to retrieve billing information about the current account.

Get DatasetTool to retrieve a dataset by its UUID.

Get Dataset Ingress LogsTool to retrieve dataset ingress metrics over time.

List Feature StoresTool to list all feature stores.

Get Dependency GraphTool to retrieve the complete dependency graph for all resources on an account.

Get Market Opportunity AnalysesTool to retrieve all market opportunity analyses from Faraday.

Get OutcomeTool to retrieve an outcome by its ID.

List OutcomesTool to list all outcomes for the account.

Get Persona SetTool to retrieve a persona set by its UUID.

Get Persona Set Analysis FlowTool to retrieve the flow of persona sets over time, showing how individuals move between different personas.

List Persona SetsTool to list all persona sets.

Get Persona Set Analysis DimensionsTool to get various trait breakdown information about a persona set.

Get PlaceTool to retrieve a specific place by its UUID.

List PlacesTool to list all places in Faraday.

List RecommendersTool to list all recommenders.

Get ScopeTool to retrieve detailed information about a Faraday scope by its UUID.

Get Scope AnalysisTool to get analysis for a scope including outcomes and recommenders with probability distributions.

Get Scope DatasetsTool to retrieve all datasets associated with a Faraday scope.

Get Scope EfficacyTool to retrieve efficacy metrics for a scope.

Get Scope Payload CohortsTool to get payload cohorts for a specific scope.

Get Scope Payload OutcomesTool to retrieve payload outcomes for a specific scope.

Get Scope Payload Persona SetsTool to get payload persona sets for a specific scope.

Get Scope Payload RecommendersTool to retrieve payload recommenders for a specific scope.

Get Scope Population Exclusion CohortsTool to get population exclusion cohorts for a scope.

Get Scope Population CohortsTool to get population cohorts for a specific scope.

Get Scope TargetsTool to get all targets for a specific scope.

Get StreamTool to retrieve a stream by its UUID or name.

List StreamsTool to list all streams in your Faraday account.

Get Streams AnalysisTool to get the count of stream events emitted over a time period.

Get TargetTool to retrieve a specific target by its UUID from Faraday.

Get Target AnalysisTool to retrieve a target's analysis including geographic distributions and trait breakdowns.

Get TraitTool to retrieve a specific trait by ID.

Get Trait Analysis DimensionsTool to retrieve the percentage of the US population that falls into each category of a trait.

Get Traits CSVTool to retrieve all user-defined and Faraday-provided traits in CSV format.

Get UploadTool to download a previously uploaded file from a Faraday dataset directory.

List Uploaded FilesTool to retrieve the list of previously uploaded files in Faraday.

Get UsagesTool to retrieve usage statistics for your Faraday account.

Get Webhook EndpointTool to retrieve a webhook endpoint by its UUID.

List Webhook EndpointsTool to list all webhook endpoints configured for the account.

List AttributesTool to list all attributes in the feature store.

List ConnectionsTool to list all connections configured in Faraday.

List ScopesTool to list all scopes.

List TargetsTool to list all targets in your Faraday account.

Unarchive CohortTool to unarchive a previously archived cohort.

Unarchive DatasetTool to unarchive a dataset in Faraday.

Unarchive OutcomeTool to unarchive an outcome in Faraday.

Unarchive Persona SetTool to unarchive a previously archived persona set.

Unarchive PlaceTool to unarchive a previously archived place.

Unarchive ScopeTool to unarchive a previously archived scope.

Unarchive StreamTool to unarchive a stream in Faraday.

Unarchive TraitTool to unarchive a trait.

Update AccountTool to update an account's name or branding settings.

Update CohortTool to update a cohort's configuration using JSON Merge Patch semantics.

Update ConnectionTool to update a Faraday connection's name or options.

Update DatasetTool to update a dataset configuration using JSON Merge Patch semantics.

Update OutcomeTool to update an outcome's configuration using JSON Merge Patch semantics.

Update Persona SetTool to edit a persona set's configuration using JSON Merge Patch.

Update PlaceTool to update a place's name, addresses, or geojson geometry.

Update ScopeTool to update a Faraday scope's configuration using JSON Merge Patch semantics.

Update StreamTool to update a stream's properties using JSON Merge Patch semantics.

Update TargetTool to update a target's configuration in Faraday.

Update TraitTool to update a trait's properties using JSON Merge Patch semantics.

Update Webhook EndpointTool to update a webhook endpoint's configuration.

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

What is Tool Router?

Composio's Tool Router 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 Tool Router

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

How the Tool Router works

The Tool Router follows a three-phase workflow:

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

Step-by-step Guide

Prerequisites

You will need:

A Composio API key
An OpenAI API key (used by Autogen's OpenAIChatCompletionClient)
A Faraday account you can connect to Composio
Some basic familiarity with Autogen and Python async

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.

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 Faraday via MCP
autogen-agentchat provides the AssistantAgent class
autogen-ext-openai provides the OpenAI model client
autogen-ext-tools provides MCP workbench support

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 Faraday connections to use

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 Faraday session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["faraday"]
    )
    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 Faraday tools
session.mcp.url is the MCP endpoint that Autogen will connect to

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

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 Faraday assistant agent with MCP tools
    agent = AssistantAgent(
        name="faraday_assistant",
        description="An AI assistant that helps with Faraday 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 Faraday tools from the workbench

Run the interactive chat loop

python

print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
print("Ask any Faraday 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 Faraday 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 Faraday 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 Faraday session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["faraday"]
    )
    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 Faraday assistant agent with MCP tools
        agent = AssistantAgent(
            name="faraday_assistant",
            description="An AI assistant that helps with Faraday 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 Faraday 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 Faraday 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 Faraday, you can reuse the same structure for other MCP-enabled apps with minimal code changes.

How to build Faraday MCP Agent with another framework

OpenAI Agents SDK

Use Faraday MCP with OpenAI Agents SDK

Claude Agent SDK

Use Faraday MCP with Claude Agent SDK

Google ADK

Use Faraday MCP with Google ADK

LangChain

Use Faraday MCP with LangChain

Vercel AI SDK

Use Faraday MCP with Vercel AI SDK

Mastra AI

Use Faraday MCP with Mastra AI

LlamaIndex

Use Faraday MCP with LlamaIndex

CrewAI

Use Faraday MCP with CrewAI

Claude Code

Use Faraday MCP with Claude Code

Codex

Use Faraday MCP with Codex

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TOOLKIT MARKETPLACE

FAQ

What are the differences in Tool Router MCP and Faraday MCP?

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

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

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

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Harsha GaddipatiCo-founder, Slashy

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

Abhi AryaCo-founder, Opennote

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 has immensely helped in keeping new users on the platform.

Nirman DaveCEO, Zams

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

Ryan YuFounder, Extra Thursday

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

Tomisin JenrolaFounder & CEO, SwarmZero

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

Jerome LeclancheCo-Founder, Ingram Technologies

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.

Harsha GaddipatiCo-founder, Slashy

Abhi AryaCo-founder, Opennote

Nirman DaveCEO, Zams

Ryan YuFounder, Extra Thursday

Tomisin JenrolaFounder & CEO, SwarmZero

Jerome LeclancheCo-Founder, Ingram Technologies

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.

Harsha GaddipatiCo-founder, Slashy

Abhi AryaCo-founder, Opennote

Nirman DaveCEO, Zams

Ryan YuFounder, Extra Thursday

Tomisin JenrolaFounder & CEO, SwarmZero

Jerome LeclancheCo-Founder, Ingram Technologies

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.

How to integrate Faraday MCP with Autogen

Table of Contents

Connect Faraday without Auth hassles

Introduction

TL;DR

What is AutoGen?

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

Supported Tools & Triggers

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

What is Tool Router?

How the Tool Router works

Step-by-step Guide

Prerequisites

Getting API Keys for OpenAI and Composio

Install dependencies

Set up environment variables

Import dependencies and create Tool Router session

Configure MCP parameters for Autogen

Create the model client and agent

Run the interactive chat loop

Complete Code

Conclusion

How to build Faraday MCP Agent with another framework

OpenAI Agents SDK

Claude Agent SDK

Google ADK

LangChain

Vercel AI SDK

Mastra AI

LlamaIndex

CrewAI

Claude Code

Codex

Explore Other Toolkits

Addressfinder

Agiled

Ai ml api

FAQ

What are the differences in Tool Router MCP and Faraday MCP?

Can I use Tool Router MCP with Autogen?

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

How safe is my data with Composio Tool Router?

Used by agents from

Never worry about agent reliability