How to integrate Faraday MCP with OpenAI Agents SDK

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Introduction

This guide walks you through connecting Faraday to the OpenAI Agents SDK 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 OpenAI Agents SDK 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 necessary dependencies
  • Initialize Composio and create a Tool Router session for Faraday
  • Configure an AI agent that can use Faraday as a tool
  • Run a live chat session where you can ask the agent to perform Faraday operations

What is open-ai-agents-sdk?

The OpenAI Agents SDK is a lightweight framework for building AI agents that can use tools and maintain conversation state. It provides a simple interface for creating agents with hosted MCP tool support.

Key features include:

  • Hosted MCP Tools: Connect to external services through hosted MCP endpoints
  • SQLite Sessions: Persist conversation history across interactions
  • Simple API: Clean interface with Agent, Runner, and tool configuration
  • Streaming Support: Real-time response streaming for interactive applications

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:

  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

Prerequisites

Before starting, make sure you have:
  • Composio API Key and OpenAI API Key
  • Primary know-how of OpenAI Agents SDK
  • A live Faraday project
  • Some knowledge of Python or Typescript

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

Install dependencies

pip install composio_openai_agents openai-agents python-dotenv

Install the Composio SDK and the OpenAI Agents SDK.

Set up environment variables

bash
OPENAI_API_KEY=sk-...your-api-key
COMPOSIO_API_KEY=your-api-key
USER_ID=composio_user@gmail.com

Create a .env file and add your OpenAI and Composio API keys.

Import dependencies

import asyncio
import os
from dotenv import load_dotenv

from composio import Composio
from composio_openai_agents import OpenAIAgentsProvider
from agents import Agent, Runner, HostedMCPTool, SQLiteSession
What's happening:
  • You're importing all necessary libraries.
  • The Composio and OpenAIAgentsProvider classes are imported to connect your OpenAI agent to Composio tools like Faraday.

Set up the Composio instance

load_dotenv()

api_key = os.getenv("COMPOSIO_API_KEY")
user_id = os.getenv("USER_ID")

if not api_key:
    raise RuntimeError("COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key")

# Initialize Composio
composio = Composio(api_key=api_key, provider=OpenAIAgentsProvider())
What's happening:
  • load_dotenv() loads your .env file so OPENAI_API_KEY and COMPOSIO_API_KEY are available as environment variables.
  • Creating a Composio instance using the API Key and OpenAIAgentsProvider class.

Create a Tool Router session

# Create a Faraday Tool Router session
session = composio.create(
    user_id=user_id,
    toolkits=["faraday"]
)

mcp_url = session.mcp.url

What is happening:

  • You give the Tool Router the user id and the toolkits you want available. Here, it is only faraday.
  • The router checks the user's Faraday connection and prepares the MCP endpoint.
  • The returned session.mcp.url is the MCP URL that your agent will use to access Faraday.
  • This approach keeps things lightweight and lets the agent request Faraday tools only when needed during the conversation.

Configure the agent

# Configure agent with MCP tool
agent = Agent(
    name="Assistant",
    model="gpt-5",
    instructions=(
        "You are a helpful assistant that can access Faraday. "
        "Help users perform Faraday operations through natural language."
    ),
    tools=[
        HostedMCPTool(
            tool_config={
                "type": "mcp",
                "server_label": "tool_router",
                "server_url": mcp_url,
                "headers": {"x-api-key": api_key},
                "require_approval": "never",
            }
        )
    ],
)
What's happening:
  • We're creating an Agent instance with a name, model (gpt-5), and clear instructions about its purpose.
  • The agent's instructions tell it that it can access Faraday and help with queries, inserts, updates, authentication, and fetching database information.
  • The tools array includes a HostedMCPTool that connects to the MCP server URL we created earlier.
  • The headers dict includes the Composio API key for secure authentication with the MCP server.
  • require_approval: 'never' means the agent can execute Faraday operations without asking for permission each time, making interactions smoother.

Start chat loop and handle conversation

print("\nComposio Tool Router session created.")

chat_session = SQLiteSession("conversation_openai_toolrouter")

print("\nChat started. Type your requests below.")
print("Commands: 'exit', 'quit', or 'q' to end\n")

async def main():
    try:
        result = await Runner.run(
            agent,
            "What can you help me with?",
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")
    except Exception as e:
        print(f"Error: {e}\n")

    while True:
        user_input = input("You: ").strip()
        if user_input.lower() in {"exit", "quit", "q"}:
            print("Goodbye!")
            break

        result = await Runner.run(
            agent,
            user_input,
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")

asyncio.run(main())
What's happening:
  • The program prints a session URL that you visit to authorize Faraday.
  • After authorization, the chat begins.
  • Each message you type is processed by the agent using Runner.run().
  • The responses are printed to the console, and conversations are saved locally using SQLite.
  • Typing exit, quit, or q cleanly ends the chat.

Complete Code

Here's the complete code to get you started with Faraday and open-ai-agents-sdk:

import asyncio
import os
from dotenv import load_dotenv

from composio import Composio
from composio_openai_agents import OpenAIAgentsProvider
from agents import Agent, Runner, HostedMCPTool, SQLiteSession

load_dotenv()

api_key = os.getenv("COMPOSIO_API_KEY")
user_id = os.getenv("USER_ID")

if not api_key:
    raise RuntimeError("COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key")

# Initialize Composio
composio = Composio(api_key=api_key, provider=OpenAIAgentsProvider())

# Create Tool Router session
session = composio.create(
    user_id=user_id,
    toolkits=["faraday"]
)
mcp_url = session.mcp.url

# Configure agent with MCP tool
agent = Agent(
    name="Assistant",
    model="gpt-5",
    instructions=(
        "You are a helpful assistant that can access Faraday. "
        "Help users perform Faraday operations through natural language."
    ),
    tools=[
        HostedMCPTool(
            tool_config={
                "type": "mcp",
                "server_label": "tool_router",
                "server_url": mcp_url,
                "headers": {"x-api-key": api_key},
                "require_approval": "never",
            }
        )
    ],
)

print("\nComposio Tool Router session created.")

chat_session = SQLiteSession("conversation_openai_toolrouter")

print("\nChat started. Type your requests below.")
print("Commands: 'exit', 'quit', or 'q' to end\n")

async def main():
    try:
        result = await Runner.run(
            agent,
            "What can you help me with?",
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")
    except Exception as e:
        print(f"Error: {e}\n")

    while True:
        user_input = input("You: ").strip()
        if user_input.lower() in {"exit", "quit", "q"}:
            print("Goodbye!")
            break

        result = await Runner.run(
            agent,
            user_input,
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")

asyncio.run(main())

Conclusion

This was a starter code for integrating Faraday MCP with OpenAI Agents SDK to build a functional AI agent that can interact with Faraday.

Key features:

  • Hosted MCP tool integration through Composio's Tool Router
  • SQLite session persistence for conversation history
  • Simple async chat loop for interactive testing
You can extend this by adding more toolkits, implementing custom business logic, or building a web interface around the agent.

How to build Faraday MCP Agent with another framework

Claude Agent SDK

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Mastra AI

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LlamaIndex

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Use Faraday MCP with LlamaIndex

CrewAI

CrewAI

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Claude Code

Claude Code

Use Faraday MCP with Claude Code

Codex

Codex

Use Faraday MCP with Codex

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 OpenAI Agents SDK?

Yes, you can. OpenAI Agents SDK 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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