How to integrate Finerworks MCP with Pydantic AI

This guide walks you through connecting Finerworks to Pydantic AI using the Composio tool router. By the end, you'll have a working Finerworks agent that can add five new artwork images to your library, list all available fine art paper types, submit a print order for three photos through natural language commands. This guide will help you understand how to give your Pydantic AI agent real control over a Finerworks account through Composio's Finerworks MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

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FinerWorks is an online platform for fine art and photo printing services. Artists and photographers use it to order custom prints and manage print inventory efficiently.

33 Tools

Introduction

This guide walks you through connecting Finerworks to Pydantic AI using the Composio tool router. By the end, you'll have a working Finerworks agent that can add five new artwork images to your library, list all available fine art paper types, submit a print order for three photos through natural language commands.

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

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

Also integrate Finerworks 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 Finerworks
  • 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 Finerworks 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 Finerworks MCP server, and what's possible with it?

The Finerworks MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your FinerWorks account. It provides structured and secure access to your fine art and photo printing services, so your agent can perform actions like uploading artwork, managing orders, updating account info, and exploring product options on your behalf.

  • Artwork upload and management: Easily add new images to your FinerWorks library, complete with metadata and image URIs, so your inventory is always up to date.
  • Order submission and tracking: Ask your agent to submit batches of print orders or retrieve shipping options, streamlining your print fulfillment process.
  • Product and media exploration: Instantly list available product types, media types, and style options to help you select the perfect materials for your artwork.
  • Account and profile updates: Let your agent fetch or update your user profile, including business information, billing details, and payment profiles, as your needs change.
  • Credential verification and file selection: Test your credentials for peace of mind, or update which image files are selected for current projects—all without manual steps.

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 Finerworks
  • 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 Finerworks
  • MCPServerStreamableHTTP connects to the Finerworks 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 Finerworks
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["finerworks"],
    )
    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 Finerworks 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
finerworks_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
agent = Agent(
    "openai:gpt-5",
    toolsets=[finerworks_mcp],
    instructions=(
        "You are a Finerworks assistant. Use Finerworks tools to help users "
        "with their requests. Ask clarifying questions when needed."
    ),
)
What's happening:
  • The MCP client connects to the Finerworks endpoint
  • The agent uses GPT-5 to interpret user commands and perform Finerworks 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 Finerworks.\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
  • Finerworks 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 Finerworks 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 Finerworks
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["finerworks"],
    )
    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
    finerworks_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
    agent = Agent(
        "openai:gpt-5",
        toolsets=[finerworks_mcp],
        instructions=(
            "You are a Finerworks assistant. Use Finerworks 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 Finerworks.\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 Finerworks through Composio's Tool Router. With this setup, your agent can perform real Finerworks 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 + Finerworks 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 Finerworks action and event your agent gets out of the box.

Add Images

Tool to add images to a finerworks library.

Add or Update Gallery Collection

Tool to add or update personal gallery collections in GeoGalleries.

Delete Images

Tool to delete a list of image files from FinerWorks based on their unique GUIDs.

Delete Pending Orders

Tool to remove orders from temporary storage that were saved as pending.

Delete Virtual Inventory

Tool to delete virtual inventory products by SKU.

Disconnect Virtual Inventory

Tool to disconnect ALL virtual inventory items from a 3rd party platform.

Fetch Order Status

Tool to retrieve order production status and tracking details from FinerWorks.

Get Company Info

Tool to get essential information about FinerWorks including site identifier, company address, and operating hours.

Get Frame Details

Tool to retrieve detailed specifications for a specific frame by ID.

Get Prices

Tool to retrieve pricing information for FinerWorks products.

Get Shipping Options IDs

Tool to list all available shipping option IDs from FinerWorks.

Get User

Retrieves the authenticated user's FinerWorks account profile including billing/business addresses, account credits, shipping preferences, connected platforms, and gallery settings.

List File Selection

Tool to retrieve the list of currently selected files by their master guid.

List Frame Collections

Retrieve available frame collections and categories from FinerWorks.

List Galleries

Tool to list galleries setup in GeoGalleries.

List Gallery Themes

Tool to retrieve available themes for GeoGalleries.

List Glazing

Retrieve available glazing and glass options from FinerWorks.

List Images

Tool to retrieve a paginated list of image files uploaded to your FinerWorks account.

List Mats

Retrieve available matting options from FinerWorks for framing products.

List Media Types

Retrieve available print media types from FinerWorks.

List Order Status Definitions

Tool to list all available production status definitions an order can have once it has completed.

List Product Types

Retrieve FinerWorks product types (print categories like Canvas Prints, Metal Prints, Posters, etc.

List Shipping Options Multiple

Retrieve shipping options and rates for multiple orders in a batch request.

List Style Types

Retrieves available print style types from FinerWorks.

List Virtual Inventory

Tool to retrieve a user's virtual inventory products from their FinerWorks account.

Save Pending Orders

Tool to save orders to temporary pending storage.

Submit Orders

Tool to submit up to five new orders.

Update App Details

Tool to update the details assigned to the app_key being used.

Update File Selection

Tool to update a user's currently selected image files using the selection key.

Update Images

Tool to update image metadata in FinerWorks based on unique GUIDs.

Update User

Tool to update various features of a user's account profile.

Update Virtual Inventory

Tool to update virtual inventory items within a user's account.

Validate Recipient Address

Tool to validate and test a recipient address before submitting an order to ensure delivery accuracy.

FRAMEWORKS

How to build Finerworks MCP Agent with another framework

OpenAI Agents SDK logo

OpenAI Agents SDK

Use Finerworks MCP with OpenAI Agents SDK

Claude Agent SDK logo

Claude Agent SDK

Use Finerworks MCP with Claude Agent SDK

Claude Code logo

Claude Code

Use Finerworks MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use Finerworks MCP with Claude Cowork

Codex logo

Codex

Use Finerworks MCP with Codex

OpenClaw logo

OpenClaw

Use Finerworks MCP with OpenClaw

Hermes logo

Hermes

Use Finerworks MCP with Hermes

CLI logo

CLI

Use Finerworks MCP with CLI

Google ADK logo

Google ADK

Use Finerworks MCP with Google ADK

LangChain logo

LangChain

Use Finerworks MCP with LangChain

Vercel AI SDK logo

Vercel AI SDK

Use Finerworks MCP with Vercel AI SDK

Mastra AI logo

Mastra AI

Use Finerworks MCP with Mastra AI

LlamaIndex logo

LlamaIndex

Use Finerworks MCP with LlamaIndex

CrewAI logo

CrewAI

Use Finerworks MCP with CrewAI

FAQ

Frequently asked questions

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

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

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