# How to integrate Finerworks MCP with LangChain ```json { "title": "How to integrate Finerworks MCP with LangChain", "toolkit": "Finerworks", "toolkit_slug": "finerworks", "framework": "LangChain", "framework_slug": "langchain", "url": "https://composio.dev/toolkits/finerworks/framework/langchain", "markdown_url": "https://composio.dev/toolkits/finerworks/framework/langchain.md", "updated_at": "2026-05-12T10:11:30.884Z" } ``` ## Introduction This guide walks you through connecting Finerworks to LangChain 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 LangChain 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) - [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: - Get and set up your OpenAI and Composio API keys - Connect your Finerworks project to Composio - Create a Tool Router MCP session for Finerworks - Initialize an MCP client and retrieve Finerworks tools - Build a LangChain agent that can interact with Finerworks - Set up an interactive chat interface for testing ## What is LangChain? LangChain is a framework for developing applications powered by language models. It provides tools and abstractions for building agents that can reason, use tools, and maintain conversation context. Key features include: - Agent Framework: Build agents that can use tools and make decisions - MCP Integration: Connect to external services through Model Context Protocol adapters - Memory Management: Maintain conversation history across interactions - Multi-Provider Support: Works with OpenAI, Anthropic, and other LLM providers ## 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 No description provided. ### 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 No description provided. ```python pip install composio-langchain langchain-mcp-adapters langchain python-dotenv ``` ```typescript npm install @composio/langchain @langchain/core @langchain/openai @langchain/mcp-adapters dotenv ``` ### 3. Set up environment variables Create a .env file in your project root. What's happening: - COMPOSIO_API_KEY authenticates your requests to Composio's API - COMPOSIO_USER_ID identifies the user for session management - OPENAI_API_KEY enables access to OpenAI's language models ```bash COMPOSIO_API_KEY=your_composio_api_key_here COMPOSIO_USER_ID=your_composio_user_id_here OPENAI_API_KEY=your_openai_api_key_here ``` ### 4. Import dependencies No description provided. ```python from langchain_mcp_adapters.client import MultiServerMCPClient from langchain.agents import create_agent from dotenv import load_dotenv from composio import Composio import asyncio import os load_dotenv() ``` ```typescript import { Composio } from '@composio/core'; import { LangchainProvider } from '@composio/langchain'; import { MultiServerMCPClient } from "@langchain/mcp-adapters"; import { createAgent } from "langchain"; import * as readline from 'readline'; import 'dotenv/config'; dotenv.config(); ``` ### 5. Initialize Composio client What's happening: - We're loading the COMPOSIO_API_KEY from environment variables and validating it exists - Creating a Composio instance that will manage our connection to Finerworks tools - Validating that COMPOSIO_USER_ID is also set before proceeding ```python async def main(): composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY")) if not os.getenv("COMPOSIO_API_KEY"): raise ValueError("COMPOSIO_API_KEY is not set") if not os.getenv("COMPOSIO_USER_ID"): raise ValueError("COMPOSIO_USER_ID is not set") ``` ```typescript const composioApiKey = process.env.COMPOSIO_API_KEY; const userId = process.env.COMPOSIO_USER_ID; if (!composioApiKey) throw new Error('COMPOSIO_API_KEY is not set'); if (!userId) throw new Error('COMPOSIO_USER_ID is not set'); async function main() { const composio = new Composio({ apiKey: composioApiKey as string, provider: new LangchainProvider() }); ``` ### 6. 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 - This approach allows the agent to dynamically load and use Finerworks tools as needed ```python # Create Tool Router session for Finerworks session = composio.create( user_id=os.getenv("COMPOSIO_USER_ID"), toolkits=['finerworks'] ) url = session.mcp.url ``` ```typescript const session = await composio.create( userId as string, { toolkits: ['finerworks'] } ); const url = session.mcp.url; ``` ### 7. Configure the agent with the MCP URL No description provided. ```python client = MultiServerMCPClient({ "finerworks-agent": { "transport": "streamable_http", "url": session.mcp.url, "headers": { "x-api-key": os.getenv("COMPOSIO_API_KEY") } } }) tools = await client.get_tools() agent = create_agent("gpt-5", tools) ``` ```typescript const client = new MultiServerMCPClient({ "finerworks-agent": { transport: "http", url: url, headers: { "x-api-key": process.env.COMPOSIO_API_KEY } } }); const tools = await client.getTools(); const agent = createAgent({ model: "gpt-5", tools }); ``` ### 8. Set up interactive chat interface No description provided. ```python conversation_history = [] print("Chat started! Type 'exit' or 'quit' to end the conversation.\n") print("Ask any Finerworks related question or task to the agent.\n") while True: user_input = input("You: ").strip() if user_input.lower() in ['exit', 'quit', 'bye']: print("\nGoodbye!") break if not user_input: continue conversation_history.append({"role": "user", "content": user_input}) print("\nAgent is thinking...\n") response = await agent.ainvoke({"messages": conversation_history}) conversation_history = response['messages'] final_response = response['messages'][-1].content print(f"Agent: {final_response}\n") ``` ```typescript let conversationHistory: any[] = []; console.log("Chat started! Type 'exit' or 'quit' to end the conversation.\n"); console.log("Ask any Finerworks related question or task to the agent.\n"); const rl = readline.createInterface({ input: process.stdin, output: process.stdout, prompt: 'You: ' }); rl.prompt(); rl.on('line', async (userInput: string) => { const trimmedInput = userInput.trim(); if (['exit', 'quit', 'bye'].includes(trimmedInput.toLowerCase())) { console.log("\nGoodbye!"); rl.close(); process.exit(0); } if (!trimmedInput) { rl.prompt(); return; } conversationHistory.push({ role: "user", content: trimmedInput }); console.log("\nAgent is thinking...\n"); const response = await agent.invoke({ messages: conversationHistory }); conversationHistory = response.messages; const finalResponse = response.messages[response.messages.length - 1]?.content; console.log(`Agent: ${finalResponse}\n`); rl.prompt(); }); rl.on('close', () => { console.log('\n👋 Session ended.'); process.exit(0); }); ``` ### 9. Run the application No description provided. ```python if __name__ == "__main__": asyncio.run(main()) ``` ```typescript main().catch((err) => { console.error('Fatal error:', err); process.exit(1); }); ``` ## Complete Code ```python from langchain_mcp_adapters.client import MultiServerMCPClient from langchain.agents import create_agent from dotenv import load_dotenv from composio import Composio import asyncio import os load_dotenv() async def main(): composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY")) if not os.getenv("COMPOSIO_API_KEY"): raise ValueError("COMPOSIO_API_KEY is not set") if not os.getenv("COMPOSIO_USER_ID"): raise ValueError("COMPOSIO_USER_ID is not set") session = composio.create( user_id=os.getenv("COMPOSIO_USER_ID"), toolkits=['finerworks'] ) url = session.mcp.url client = MultiServerMCPClient({ "finerworks-agent": { "transport": "streamable_http", "url": url, "headers": { "x-api-key": os.getenv("COMPOSIO_API_KEY") } } }) tools = await client.get_tools() agent = create_agent("gpt-5", tools) conversation_history = [] print("Chat started! Type 'exit' or 'quit' to end the conversation.\n") print("Ask any Finerworks related question or task to the agent.\n") while True: user_input = input("You: ").strip() if user_input.lower() in ['exit', 'quit', 'bye']: print("\nGoodbye!") break if not user_input: continue conversation_history.append({"role": "user", "content": user_input}) print("\nAgent is thinking...\n") response = await agent.ainvoke({"messages": conversation_history}) conversation_history = response['messages'] final_response = response['messages'][-1].content print(f"Agent: {final_response}\n") if __name__ == "__main__": asyncio.run(main()) ``` ```typescript import { Composio } from '@composio/core'; import { LangchainProvider } from '@composio/langchain'; import { MultiServerMCPClient } from "@langchain/mcp-adapters"; import { createAgent } from "langchain"; import * as readline from 'readline'; import 'dotenv/config'; const composioApiKey = process.env.COMPOSIO_API_KEY; const userId = process.env.COMPOSIO_USER_ID; if (!composioApiKey) throw new Error('COMPOSIO_API_KEY is not set'); if (!userId) throw new Error('COMPOSIO_USER_ID is not set'); async function main() { const composio = new Composio({ apiKey: composioApiKey as string, provider: new LangchainProvider() }); const session = await composio.create( userId as string, { toolkits: ['finerworks'] } ); const url = session.mcp.url; const client = new MultiServerMCPClient({ "finerworks-agent": { transport: "http", url: url, headers: { "x-api-key": process.env.COMPOSIO_API_KEY } } }); const tools = await client.getTools(); const agent = createAgent({ model: "gpt-5", tools }); let conversationHistory: any[] = []; console.log("Chat started! Type 'exit' or 'quit' to end the conversation.\n"); console.log("Ask any Finerworks related question or task to the agent.\n"); const rl = readline.createInterface({ input: process.stdin, output: process.stdout, prompt: 'You: ' }); rl.prompt(); rl.on('line', async (userInput: string) => { const trimmedInput = userInput.trim(); if (['exit', 'quit', 'bye'].includes(trimmedInput.toLowerCase())) { console.log("\nGoodbye!"); rl.close(); process.exit(0); } if (!trimmedInput) { rl.prompt(); return; } conversationHistory.push({ role: "user", content: trimmedInput }); console.log("\nAgent is thinking...\n"); const response = await agent.invoke({ messages: conversationHistory }); conversationHistory = response.messages; const finalResponse = response.messages[response.messages.length - 1]?.content; console.log(`Agent: ${finalResponse}\n`); rl.prompt(); }); rl.on('close', () => { console.log('\nSession ended.'); process.exit(0); }); } main().catch((err) => { console.error('Fatal error:', err); process.exit(1); }); ``` ## Conclusion You've successfully built a LangChain agent that can interact with Finerworks through Composio's Tool Router. Key features of this implementation: - Dynamic tool loading through Composio's Tool Router - Conversation history maintenance for context-aware responses - Async Python provides clean, efficient execution of agent workflows You can extend this further by adding error handling, implementing specific business logic, or integrating additional Composio toolkits to create multi-app workflows. ## 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) - [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 - [Addresszen](https://composio.dev/toolkits/addresszen) - Addresszen is a real-time address autocomplete and verification service. 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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 LangChain? Yes, you can. LangChain 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)