How to integrate Faraday MCP with Pydantic AI

This guide walks you through connecting Faraday to Pydantic AI 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 Pydantic AI 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.

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Introduction

This guide walks you through connecting Faraday to Pydantic AI 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 Pydantic AI 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.

Also integrate Faraday with

OpenAI Agents SDKClaude Agent SDKClaude CodeClaude CoworkCodexOpenClawHermesCLIGoogle ADKLangChainVercel AI SDKMastra AILlamaIndexCrewAI

TL;DR

Here's what you'll learn:
  • How to set up your Composio API key and User ID
  • How to create a Composio Tool Router session for Faraday
  • How to attach an MCP Server to a Pydantic AI agent
  • How to stream responses and maintain chat history
  • How to build a simple REPL-style chat interface to test your Faraday workflows

What is Pydantic AI?

Pydantic AI is a Python framework for building AI agents with strong typing and validation. It leverages Pydantic's data validation capabilities to create robust, type-safe AI applications.

Key features include:

  • Type Safety: Built on Pydantic for automatic data validation
  • MCP Support: Native support for Model Context Protocol servers
  • Streaming: Built-in support for streaming responses
  • Async First: Designed for async/await patterns

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.

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 step09 STEPS
1

Prerequisites

Before starting, make sure you have:
  • Python 3.9 or higher
  • A Composio account with an active API key
  • Basic familiarity with Python and async programming
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 pydantic-ai python-dotenv

Install the required libraries.

What's happening:

  • composio connects your agent to external SaaS tools like Faraday
  • pydantic-ai lets you create structured AI agents with tool support
  • python-dotenv loads your environment variables securely from a .env file
4

Set up environment variables

bash
COMPOSIO_API_KEY=your_composio_api_key_here
USER_ID=your_user_id_here
OPENAI_API_KEY=your_openai_api_key

Create a .env file in your project root.

What's happening:

  • COMPOSIO_API_KEY authenticates your agent to Composio's API
  • USER_ID associates your session with your account for secure tool access
  • OPENAI_API_KEY to access OpenAI LLMs
5

Import dependencies

python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerStreamableHTTP

load_dotenv()
What's happening:
  • We load environment variables and import required modules
  • Composio manages connections to Faraday
  • MCPServerStreamableHTTP connects to the Faraday MCP server endpoint
  • Agent from Pydantic AI lets you define and run the AI assistant
6

Create a Tool Router Session

python
async def main():
    api_key = os.getenv("COMPOSIO_API_KEY")
    user_id = os.getenv("USER_ID")
    if not api_key or not user_id:
        raise RuntimeError("Set COMPOSIO_API_KEY and USER_ID in your environment")

    # Create a Composio Tool Router session for Faraday
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["faraday"],
    )
    url = session.mcp.url
    if not url:
        raise ValueError("Composio session did not return an MCP URL")
What's happening:
  • We're creating a Tool Router session that gives your agent access to Faraday tools
  • The create method takes the user ID and specifies which toolkits should be available
  • The returned session.mcp.url is the MCP server URL that your agent will use
7

Initialize the Pydantic AI Agent

python
# Attach the MCP server to a Pydantic AI Agent
faraday_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
agent = Agent(
    "openai:gpt-5",
    toolsets=[faraday_mcp],
    instructions=(
        "You are a Faraday assistant. Use Faraday tools to help users "
        "with their requests. Ask clarifying questions when needed."
    ),
)
What's happening:
  • The MCP client connects to the Faraday endpoint
  • The agent uses GPT-5 to interpret user commands and perform Faraday operations
  • The instructions field defines the agent's role and behavior
8

Build the chat interface

python
# Simple REPL with message history
history = []
print("Chat started! Type 'exit' or 'quit' to end.\n")
print("Try asking the agent to help you with Faraday.\n")

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", flush=True)

    async with agent.run_stream(user_input, message_history=history) as stream_result:
        collected_text = ""
        async for chunk in stream_result.stream_output():
            text_piece = None
            if isinstance(chunk, str):
                text_piece = chunk
            elif hasattr(chunk, "delta") and isinstance(chunk.delta, str):
                text_piece = chunk.delta
            elif hasattr(chunk, "text"):
                text_piece = chunk.text
            if text_piece:
                collected_text += text_piece
        result = stream_result

    print(f"Agent: {collected_text}\n")
    history = result.all_messages()
What's happening:
  • The agent reads input from the terminal and streams its response
  • Faraday API calls happen automatically under the hood
  • The model keeps conversation history to maintain context across turns
9

Run the application

python
if __name__ == "__main__":
    asyncio.run(main())
What's happening:
  • The asyncio loop launches the agent and keeps it running until you exit

Complete Code

Here's the complete code to get you started with Faraday and Pydantic AI:

python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerStreamableHTTP

load_dotenv()

async def main():
    api_key = os.getenv("COMPOSIO_API_KEY")
    user_id = os.getenv("USER_ID")
    if not api_key or not user_id:
        raise RuntimeError("Set COMPOSIO_API_KEY and USER_ID in your environment")

    # Create a Composio Tool Router session for Faraday
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["faraday"],
    )
    url = session.mcp.url
    if not url:
        raise ValueError("Composio session did not return an MCP URL")

    # Attach the MCP server to a Pydantic AI Agent
    faraday_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
    agent = Agent(
        "openai:gpt-5",
        toolsets=[faraday_mcp],
        instructions=(
            "You are a Faraday assistant. Use Faraday tools to help users "
            "with their requests. Ask clarifying questions when needed."
        ),
    )

    # Simple REPL with message history
    history = []
    print("Chat started! Type 'exit' or 'quit' to end.\n")
    print("Try asking the agent to help you with Faraday.\n")

    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", flush=True)

        async with agent.run_stream(user_input, message_history=history) as stream_result:
            collected_text = ""
            async for chunk in stream_result.stream_output():
                text_piece = None
                if isinstance(chunk, str):
                    text_piece = chunk
                elif hasattr(chunk, "delta") and isinstance(chunk.delta, str):
                    text_piece = chunk.delta
                elif hasattr(chunk, "text"):
                    text_piece = chunk.text
                if text_piece:
                    collected_text += text_piece
            result = stream_result

        print(f"Agent: {collected_text}\n")
        history = result.all_messages()

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

Conclusion

You've built a Pydantic AI agent that can interact with Faraday through Composio's Tool Router. With this setup, your agent can perform real Faraday actions through natural language. You can extend this further by:
  • Adding other toolkits like Gmail, HubSpot, or Salesforce
  • Building a web-based chat interface around this agent
  • Using multiple MCP endpoints to enable cross-app workflows (for example, Gmail + Faraday for workflow automation)
This architecture makes your AI agent "agent-native", able to securely use APIs in a unified, composable way without custom integrations.
TOOLS

Supported Tools

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

Archive Cohort

Tool to archive a cohort in Faraday.

Archive Connection

Tool to archive a connection in Faraday.

Archive Dataset

Tool to archive a dataset in Faraday.

Archive Outcome

Tool to archive an outcome in Faraday.

Archive Persona Set

Tool to archive a persona set in Faraday.

Archive Place

Tool to archive a place in Faraday.

Archive Scope

Tool to archive a scope in Faraday.

Archive Stream

Tool to archive a stream in Faraday.

Archive Target

Tool to archive a target in Faraday.

Archive Trait

Tool to archive a trait in Faraday.

Create Account

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

Create Cohorts

Tool to create a new cohort in Faraday.

Create Dataset

Tool to create a new dataset in Faraday.

Create Outcome

Tool to create a new outcome.

Create Persona Set

Tool to create a new persona set.

Create Place

Tool to create a new place in Faraday.

Create Scope

Tool to create a new scope in Faraday.

Create Stream

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

Create Target Preview

Tool to start a preview delivery for a target.

Create Target

Tool to create a target in Faraday.

Create Trait

Tool to create a new trait in Faraday.

Create Webhook Endpoint

Tool to create a new webhook endpoint.

Delete Account

Tool to delete an account by its UUID.

Delete All Orphaned Traits

Tool to delete all orphaned traits from Faraday.

Delete Cohort

Tool to permanently delete a cohort from Faraday.

Delete Connection

Tool to delete a Faraday connection by its UUID.

Delete Dataset

Tool to delete a dataset from Faraday.

Delete Outcome

Tool to delete an outcome by its UUID.

Delete Persona Set

Tool to delete a persona set.

Delete Place

Tool to delete a place by its UUID.

Delete Scope

Tool to delete a scope by its UUID.

Delete Stream

Tool to delete a stream by its UUID or name.

Delete Target

Tool to delete a target by its UUID.

Delete Upload

Permanently deletes a file from a Faraday dataset directory.

Delete Webhook Endpoint

Tool to delete a webhook endpoint by its UUID.

Force Update Cohort

Tool to trigger a rerun for a cohort.

Force Update Connection

Tool to trigger a rerun for a Faraday connection.

Force Update Dataset

Tool to trigger a rerun for a dataset.

Force Update Outcome

Tool to trigger a rerun for an outcome resource.

Force Update Persona Set

Tool to trigger a rerun for a persona set resource.

Force Update Place

Tool to trigger a rerun for a place.

Force Update Scope

Tool to trigger a rerun for a scope resource.

Force Update Stream

Tool to trigger a rerun for a stream.

Force Update Target

Tool to trigger a rerun for a target.

Force Update Trait

Tool to trigger a rerun for a trait.

Get Account

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

List Accounts

Tool to list all Faraday accounts accessible by the current user.

Get Accounts Billing

Tool to get billing information about your account.

Get Cohort

Tool to retrieve a specific cohort by ID.

Get Cohort Membership Analysis

Tool to get cohort membership counts over time for a specific cohort.

List Cohorts

Tool to list all cohorts in your Faraday account.

Get Connection Datasets

Tool to retrieve all datasets that use a specific connection.

Get Connection Targets

Tool to retrieve all targets that use a specific connection.

Get Current Account

Tool to retrieve the current account information.

Get Current Account Billing

Tool to retrieve billing information about the current account.

Get Dataset

Tool to retrieve a dataset by its UUID.

Get Dataset Ingress Logs

Tool to retrieve dataset ingress metrics over time.

List Feature Stores

Tool to list all feature stores.

Get Dependency Graph

Tool to retrieve the complete dependency graph for all resources on an account.

Get Market Opportunity Analyses

Tool to retrieve all market opportunity analyses from Faraday.

Get Outcome

Tool to retrieve an outcome by its ID.

List Outcomes

Tool to list all outcomes for the account.

Get Persona Set

Tool to retrieve a persona set by its UUID.

Get Persona Set Analysis Flow

Tool to retrieve the flow of persona sets over time, showing how individuals move between different personas.

List Persona Sets

Tool to list all persona sets.

Get Persona Set Analysis Dimensions

Tool to get various trait breakdown information about a persona set.

Get Place

Tool to retrieve a specific place by its UUID.

List Places

Tool to list all places in Faraday.

List Recommenders

Tool to list all recommenders.

Get Scope

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

Get Scope Analysis

Tool to get analysis for a scope including outcomes and recommenders with probability distributions.

Get Scope Datasets

Tool to retrieve all datasets associated with a Faraday scope.

Get Scope Efficacy

Tool to retrieve efficacy metrics for a scope.

Get Scope Payload Cohorts

Tool to get payload cohorts for a specific scope.

Get Scope Payload Outcomes

Tool to retrieve payload outcomes for a specific scope.

Get Scope Payload Persona Sets

Tool to get payload persona sets for a specific scope.

Get Scope Payload Recommenders

Tool to retrieve payload recommenders for a specific scope.

Get Scope Population Exclusion Cohorts

Tool to get population exclusion cohorts for a scope.

Get Scope Population Cohorts

Tool to get population cohorts for a specific scope.

Get Scope Targets

Tool to get all targets for a specific scope.

Get Stream

Tool to retrieve a stream by its UUID or name.

List Streams

Tool to list all streams in your Faraday account.

Get Streams Analysis

Tool to get the count of stream events emitted over a time period.

Get Target

Tool to retrieve a specific target by its UUID from Faraday.

Get Target Analysis

Tool to retrieve a target's analysis including geographic distributions and trait breakdowns.

Get Trait

Tool to retrieve a specific trait by ID.

Get Trait Analysis Dimensions

Tool to retrieve the percentage of the US population that falls into each category of a trait.

Get Traits CSV

Tool to retrieve all user-defined and Faraday-provided traits in CSV format.

Get Upload

Tool to download a previously uploaded file from a Faraday dataset directory.

List Uploaded Files

Tool to retrieve the list of previously uploaded files in Faraday.

Get Usages

Tool to retrieve usage statistics for your Faraday account.

Get Webhook Endpoint

Tool to retrieve a webhook endpoint by its UUID.

List Webhook Endpoints

Tool to list all webhook endpoints configured for the account.

List Attributes

Tool to list all attributes in the feature store.

List Connections

Tool to list all connections configured in Faraday.

List Scopes

Tool to list all scopes.

List Targets

Tool to list all targets in your Faraday account.

Unarchive Cohort

Tool to unarchive a previously archived cohort.

Unarchive Dataset

Tool to unarchive a dataset in Faraday.

Unarchive Outcome

Tool to unarchive an outcome in Faraday.

Unarchive Persona Set

Tool to unarchive a previously archived persona set.

Unarchive Place

Tool to unarchive a previously archived place.

Unarchive Scope

Tool to unarchive a previously archived scope.

Unarchive Stream

Tool to unarchive a stream in Faraday.

Unarchive Trait

Tool to unarchive a trait.

Update Account

Tool to update an account's name or branding settings.

Update Cohort

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

Update Connection

Tool to update a Faraday connection's name or options.

Update Dataset

Tool to update a dataset configuration using JSON Merge Patch semantics.

Update Outcome

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

Update Persona Set

Tool to edit a persona set's configuration using JSON Merge Patch.

Update Place

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

Update Scope

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

Update Stream

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

Update Target

Tool to update a target's configuration in Faraday.

Update Trait

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

Update Webhook Endpoint

Tool to update a webhook endpoint's configuration.

FRAMEWORKS

How to build Faraday MCP Agent with another framework

OpenAI Agents SDK logo

OpenAI Agents SDK

Use Faraday MCP with OpenAI Agents SDK

Claude Agent SDK logo

Claude Agent SDK

Use Faraday MCP with Claude Agent SDK

Claude Code logo

Claude Code

Use Faraday MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use Faraday MCP with Claude Cowork

Codex logo

Codex

Use Faraday MCP with Codex

OpenClaw logo

OpenClaw

Use Faraday MCP with OpenClaw

Hermes logo

Hermes

Use Faraday MCP with Hermes

CLI logo

CLI

Use Faraday MCP with CLI

Google ADK logo

Google ADK

Use Faraday MCP with Google ADK

LangChain logo

LangChain

Use Faraday MCP with LangChain

Vercel AI SDK logo

Vercel AI SDK

Use Faraday MCP with Vercel AI SDK

Mastra AI logo

Mastra AI

Use Faraday MCP with Mastra AI

LlamaIndex logo

LlamaIndex

Use Faraday MCP with LlamaIndex

CrewAI logo

CrewAI

Use Faraday MCP with CrewAI

FAQ

Frequently asked questions

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.

Yes, you can. Pydantic AI 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.

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.

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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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