# How to integrate Finerworks MCP with Pydantic AI

```json
{
  "title": "How to integrate Finerworks MCP with Pydantic AI",
  "toolkit": "Finerworks",
  "toolkit_slug": "finerworks",
  "framework": "Pydantic AI",
  "framework_slug": "pydantic-ai",
  "url": "https://composio.dev/toolkits/finerworks/framework/pydantic-ai",
  "markdown_url": "https://composio.dev/toolkits/finerworks/framework/pydantic-ai.md",
  "updated_at": "2026-05-12T10:11:30.884Z"
}
```

## 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 SDK](https://composio.dev/toolkits/finerworks/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/finerworks/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/finerworks/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/finerworks/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/finerworks/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/finerworks/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/finerworks/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/finerworks/framework/cli)
- [Google ADK](https://composio.dev/toolkits/finerworks/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/finerworks/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/finerworks/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/finerworks/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/finerworks/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/finerworks/framework/crew-ai)

## 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.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `FINERWORKS_ADD_IMAGES` | Add Images | Tool to add images to a finerworks library. Use after preparing up to 5 images with metadata and URIs. |
| `FINERWORKS_ADD_UPDATE_GALLERY_COLLECTION` | Add or Update Gallery Collection | Tool to add or update personal gallery collections in GeoGalleries.com. Use when creating new collections or modifying existing ones. Omit id or set to 0 for new collections; provide existing id to update. |
| `FINERWORKS_DELETE_IMAGES` | Delete Images | Tool to delete a list of image files from FinerWorks based on their unique GUIDs. Note: If an image is assigned to the inventory library, this will also remove any virtual inventory products assigned to those images. Use when you need to permanently remove images from a library. |
| `FINERWORKS_DELETE_PENDING_ORDERS` | Delete Pending Orders | Tool to remove orders from temporary storage that were saved as pending. Use when you need to delete pending orders by their identifiers. |
| `FINERWORKS_DELETE_VIRTUAL_INVENTORY` | Delete Virtual Inventory | Tool to delete virtual inventory products by SKU. Use when removing products from virtual inventory. Note that deleted items will lose any sync connection with 3rd party platforms. |
| `FINERWORKS_DISCONNECT_VIRTUAL_INVENTORY` | Disconnect Virtual Inventory | Tool to disconnect ALL virtual inventory items from a 3rd party platform. Use when you need to remove platform data (e.g., Shopify, WooCommerce, Etsy) from all virtual inventory items. |
| `FINERWORKS_FETCH_ORDER_STATUS` | Fetch Order Status | Tool to retrieve order production status and tracking details from FinerWorks. Use when you need to check the current status of orders including shipment tracking information. |
| `FINERWORKS_GET_COMPANY_INFO` | Get Company Info | Tool to get essential information about FinerWorks including site identifier, company address, and operating hours. Use when you need to retrieve FinerWorks' contact information or business location details. |
| `FINERWORKS_GET_FRAME_DETAILS` | Get Frame Details | Tool to retrieve detailed specifications for a specific frame by ID. Returns dimensions, pricing, material info, size constraints, and URLs for visual references. Use when you need complete frame specifications for order processing or product catalog display. |
| `FINERWORKS_GET_PRICES` | Get Prices | Tool to retrieve pricing information for FinerWorks products. Use when you need to get price quotes for specific product SKUs and quantities. |
| `FINERWORKS_GET_SHIPPING_OPTIONS_IDS` | Get Shipping Options IDs | Tool to list all available shipping option IDs from FinerWorks. Use this to retrieve IDs for various shipping methods that can be used for cross-reference purposes when configuring orders. Sites should periodically check and update this data in case new shipping methods are added or deleted. |
| `FINERWORKS_GET_USER` | Get User | Retrieves the authenticated user's FinerWorks account profile including billing/business addresses, account credits, shipping preferences, connected platforms, and gallery settings. Use this to get user details like account_key, email, credits balance, or to verify authentication. |
| `FINERWORKS_LIST_FILE_SELECTION` | List File Selection | Tool to retrieve the list of currently selected files by their master guid. Use when you need to see which file GUIDs are grouped under a specific selection key. |
| `FINERWORKS_LIST_FRAME_COLLECTIONS` | List Frame Collections | Retrieve available frame collections and categories from FinerWorks. Use this to discover frame options for print orders. Pass a collection ID to get detailed frame specifications within that collection, or filter by product code to see only compatible frames. Returns all collections if no filters specified. |
| `FINERWORKS_LIST_GALLERIES` | List Galleries | Tool to list galleries setup in GeoGalleries.com for the user's account. Use when you need to retrieve available galleries, filter by personal galleries, or get specific galleries by their IDs. |
| `FINERWORKS_LIST_GALLERY_THEMES` | List Gallery Themes | Tool to retrieve available themes for GeoGalleries. Use when you need to discover valid theme options for gallery customization or when filtering galleries by theme. |
| `FINERWORKS_LIST_GLAZING` | List Glazing | Retrieve available glazing and glass options from FinerWorks. Use this to discover glazing choices (UV protection glass, acrylic, etc.) for framed prints. Call without parameters to list all glazing options, or pass a specific ID to filter results. |
| `FINERWORKS_LIST_IMAGES` | List Images | Tool to retrieve a paginated list of image files uploaded to your FinerWorks account. Use this to browse your image inventory, search by filters, or get specific images by GUID. Supports pagination, sorting, date filtering, and gallery filtering. |
| `FINERWORKS_LIST_MATS` | List Mats | Retrieve available matting options from FinerWorks for framing products. Mats include specifications like dimensions, colors, thickness, and pricing. Use this to discover valid mat IDs and specifications before configuring framed prints. |
| `FINERWORKS_LIST_MEDIA_TYPES` | List Media Types | Retrieve available print media types from FinerWorks. Media types represent printing substrates (e.g., canvas, paper, vinyl) and include associated product type and style information. Call without parameters to list all media types, or pass specific IDs to filter results. |
| `FINERWORKS_LIST_ORDER_STATUS_DEFINITIONS` | List Order Status Definitions | Tool to list all available production status definitions an order can have once it has completed. Use the order_status_id for reference purposes since the descriptive label can be redundant or change wording in some cases. |
| `FINERWORKS_LIST_PRODUCT_TYPES` | List Product Types | Retrieve FinerWorks product types (print categories like Canvas Prints, Metal Prints, Posters, etc.). Use this to discover available printing options and their media IDs before placing orders. Returns all product types if no IDs specified, or filtered results for specific IDs. |
| `FINERWORKS_LIST_SHIPPING_OPTIONS_MULTIPLE` | List Shipping Options Multiple | Retrieve shipping options and rates for multiple orders in a batch request. Use this tool to get available shipping methods, rates, and estimated delivery times before submitting orders. Returns all available shipping options for each order with pricing breakdown including shipping rate, taxes, and total cost. The returned shipping_code values (e.g., 'FL', 'GD', '2A') should be used when submitting the actual order via submit_orders. Supports both US domestic and international shipping destinations. |
| `FINERWORKS_LIST_STYLE_TYPES` | List Style Types | Retrieves available print style types from FinerWorks. Style types define how prints are formatted (e.g., border sizes, canvas wraps, panel depths). Use this to discover valid style_type_id values needed when creating print orders or configuring products. Each style type includes sizing constraints, framing options, and border/bleed specifications. |
| `FINERWORKS_LIST_VIRTUAL_INVENTORY` | List Virtual Inventory | Tool to retrieve a user's virtual inventory products from their FinerWorks account. Use when you need to list products with valid product codes, search by SKU or product code, or filter by creation date. Returns paginated results with product details including pricing, images, and stock information. |
| `FINERWORKS_SAVE_PENDING_ORDERS` | Save Pending Orders | Tool to save orders to temporary pending storage. Use when orders need review or modification before final submission. |
| `FINERWORKS_SUBMIT_ORDERS` | Submit Orders | Tool to submit up to five new orders. Use after all customer and line-item details are finalized. |
| `FINERWORKS_UPDATE_APP_DETAILS` | Update App Details | Tool to update the details assigned to the app_key being used. Use when you need to modify app name, description, miscellaneous data, or live mode status. |
| `FINERWORKS_UPDATE_FILE_SELECTION` | Update File Selection | Tool to update a user's currently selected image files using the selection key. Use when you need to replace the current set of files associated with a selection GUID after authentication. |
| `FINERWORKS_UPDATE_IMAGES` | Update Images | Tool to update image metadata in FinerWorks based on unique GUIDs. Use when you need to modify image properties like title, description, visibility, or gallery assignments. Note: if the image is assigned to the inventory library, this will also remove any virtual inventory products assigned to those images. |
| `FINERWORKS_UPDATE_USER` | Update User | Tool to update various features of a user's account profile. Use when you need to modify billing/business info, logos, or payment profile after retrieving current account. |
| `FINERWORKS_UPDATE_VIRTUAL_INVENTORY` | Update Virtual Inventory | Tool to update virtual inventory items within a user's account. Use when you need to modify product details like pricing, stock quantities, descriptions, or third-party integrations for existing inventory items. |
| `FINERWORKS_VALIDATE_RECIPIENT_ADDRESS` | Validate Recipient Address | Tool to validate and test a recipient address before submitting an order to ensure delivery accuracy. Use this to verify address correctness and get standardized formatting from the shipping carrier's validation service. |

## Supported Triggers

None listed.

## Creating MCP Server - Stand-alone vs Composio SDK

The Finerworks MCP server is an implementation of the Model Context Protocol that connects your AI agent to Finerworks. It provides structured and secure access so your agent can perform Finerworks operations on your behalf through a secure, permission-based interface.
With Composio's managed implementation, you don't have to create your own developer app. For production, if you're building an end product, we recommend using your own credentials. The managed server helps you prototype fast and go from 0-1 faster.

## Step-by-step Guide

### 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

### 1. Getting API Keys for OpenAI and Composio

OpenAI API Key
- Go to the [OpenAI dashboard](https://platform.openai.com/settings/organization/api-keys) 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](https://dashboard.composio.dev?utm_source=toolkits&utm_medium=framework_docs).
- Navigate to your API settings and generate a new API key.
- Store this key securely as you'll need it for authentication.

### 2. Install dependencies

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
```bash
pip install composio pydantic-ai python-dotenv
```

### 3. Set up environment variables

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
```bash
COMPOSIO_API_KEY=your_composio_api_key_here
USER_ID=your_user_id_here
OPENAI_API_KEY=your_openai_api_key
```

### 4. Import dependencies

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
```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()
```

### 5. Create a Tool Router Session

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
```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")
```

### 6. Initialize the Pydantic AI Agent

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
```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."
    ),
)
```

### 7. Build the chat interface

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
```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()
```

### 8. Run the application

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

## Complete Code

```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.

## How to build Finerworks MCP Agent with another framework

- [OpenAI Agents SDK](https://composio.dev/toolkits/finerworks/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/finerworks/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/finerworks/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/finerworks/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/finerworks/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/finerworks/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/finerworks/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/finerworks/framework/cli)
- [Google ADK](https://composio.dev/toolkits/finerworks/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/finerworks/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/finerworks/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/finerworks/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/finerworks/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/finerworks/framework/crew-ai)

## Related Toolkits

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- [Baselinker](https://composio.dev/toolkits/baselinker) - BaseLinker is an all-in-one e-commerce management platform connecting stores, marketplaces, carriers, and more. It streamlines order processing, inventory control, and automates your sales operations.
- [Bestbuy](https://composio.dev/toolkits/bestbuy) - Best Buy is a leading retailer offering APIs for product, store, and recommendation data. Instantly access up-to-date retail insights for smarter shopping and decision-making.
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- [Dpd2](https://composio.dev/toolkits/dpd2) - Dpd2 is a robust email management platform for handling, sorting, and automating email workflows. Streamline your communications and boost productivity with advanced sorting, labeling, and response tools.
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- [Gift up](https://composio.dev/toolkits/gift_up) - Gift Up! is a digital platform for selling, managing, and redeeming gift cards online. It streamlines promotions and gift card transactions for businesses and their customers.
- [Goody](https://composio.dev/toolkits/goody) - Goody is a gifting platform that lets users send gifts and physical products without handling logistics. It streamlines gifting by managing delivery, fulfillment, and recipient experience.
- [Gumroad](https://composio.dev/toolkits/gumroad) - Gumroad is a platform for selling digital products, physical goods, and memberships with a simple checkout and marketing tools. It streamlines creator payouts and helps you grow your audience effortlessly.
- [Instacart](https://composio.dev/toolkits/instacart) - Instacart is an online grocery delivery and pickup service platform. It lets you discover local retailers and create shoppable lists and recipes with ease.
- [Junglescout](https://composio.dev/toolkits/junglescout) - Junglescout is an Amazon product research and analytics platform for sellers. It delivers sales estimates, competitive insights, and optimization tools to boost your Amazon business.
- [Ko fi](https://composio.dev/toolkits/ko_fi) - Ko-fi is a platform that lets creators receive donations, memberships, and sales from fans. It helps creators monetize their work and grow their audience with minimal friction.
- [Lemon squeezy](https://composio.dev/toolkits/lemon_squeezy) - Lemon Squeezy is a payments and subscription platform built for software companies. It makes managing payments, taxes, and customer subscriptions effortless.
- [Loyverse](https://composio.dev/toolkits/loyverse) - Loyverse is a point-of-sale (POS) platform for small businesses, offering tools for sales, inventory, and customer loyalty. It helps streamline retail operations and boost customer engagement.
- [Memberstack](https://composio.dev/toolkits/memberstack) - Memberstack lets you add user authentication, payments, and member management to your website—no backend code required. Easily manage your site's members and subscriptions from a single platform.

## Frequently Asked Questions

### What are the differences in Tool Router MCP and Finerworks MCP?

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.

### Can I use Tool Router MCP with Pydantic AI?

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.

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

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.

### 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 Finerworks data and credentials are handled as safely as possible.

---
[See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)
