# How to integrate Gumroad MCP with Autogen ```json { "title": "How to integrate Gumroad MCP with Autogen", "toolkit": "Gumroad", "toolkit_slug": "gumroad", "framework": "AutoGen", "framework_slug": "autogen", "url": "https://composio.dev/toolkits/gumroad/framework/autogen", "markdown_url": "https://composio.dev/toolkits/gumroad/framework/autogen.md", "updated_at": "2026-05-12T10:14:28.066Z" } ``` ## Introduction This guide walks you through connecting Gumroad to AutoGen using the Composio tool router. By the end, you'll have a working Gumroad agent that can show all sales from the past week, list active subscriptions for your e-book, get your gumroad profile details through natural language commands. This guide will help you understand how to give your AutoGen agent real control over a Gumroad account through Composio's Gumroad MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved. ## Also integrate Gumroad with - [ChatGPT](https://composio.dev/toolkits/gumroad/framework/chatgpt) - [Antigravity](https://composio.dev/toolkits/gumroad/framework/antigravity) - [OpenAI Agents SDK](https://composio.dev/toolkits/gumroad/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/gumroad/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/gumroad/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/gumroad/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/gumroad/framework/codex) - [Cursor](https://composio.dev/toolkits/gumroad/framework/cursor) - [VS Code](https://composio.dev/toolkits/gumroad/framework/vscode) - [OpenCode](https://composio.dev/toolkits/gumroad/framework/opencode) - [OpenClaw](https://composio.dev/toolkits/gumroad/framework/openclaw) - [Hermes](https://composio.dev/toolkits/gumroad/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/gumroad/framework/cli) - [Google ADK](https://composio.dev/toolkits/gumroad/framework/google-adk) - [LangChain](https://composio.dev/toolkits/gumroad/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/gumroad/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/gumroad/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/gumroad/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/gumroad/framework/crew-ai) ## TL;DR Here's what you'll learn: - Get and set up your OpenAI and Composio API keys - Install the required dependencies for Autogen and Composio - Initialize Composio and create a Tool Router session for Gumroad - Wire that MCP URL into Autogen using McpWorkbench and StreamableHttpServerParams - Configure an Autogen AssistantAgent that can call Gumroad tools - Run a live chat loop where you ask the agent to perform Gumroad operations ## What is AutoGen? Autogen is a framework for building multi-agent conversational AI systems from Microsoft. It enables you to create agents that can collaborate, use tools, and maintain complex workflows. Key features include: - Multi-Agent Systems: Build collaborative agent workflows - MCP Workbench: Native support for Model Context Protocol tools - Streaming HTTP: Connect to external services through streamable HTTP - AssistantAgent: Pre-built agent class for tool-using assistants ## What is the Gumroad MCP server, and what's possible with it? The Gumroad MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Gumroad account. It provides structured and secure access to your Gumroad business data, so your agent can review sales, manage subscriptions, handle webhook resources, and retrieve user profile details on your behalf. - Sales data insights: Instantly pull reports on all successful sales, with options to filter by date, product, or customer email for real-time business tracking. - Subscription management: Let your agent list, review, and manage all active resource subscriptions, making it easy to keep tabs on recurring customers and memberships. - User profile retrieval: Fetch up-to-date profile details for your Gumroad account, giving your agent context for personalized actions or reporting. - Webhook automation: Subscribe or unsubscribe from Gumroad resources to receive real-time event notifications, enabling seamless integration with your automation workflows. ## Supported Tools | Tool slug | Name | Description | |---|---|---| | `GUMROAD_GET_RESOURCE_SUBSCRIPTIONS` | Get Resource Subscriptions | Tool to show all active subscriptions of the user for the input resource. Use when you need to review existing webhooks before adding a new one. | | `GUMROAD_GET_SALES` | Get Sales | Tool to retrieve all successful sales by the authenticated user; excludes failed charges, abandoned carts, and page views — conversion rates cannot be derived from this data. Use when you need to list your Gumroad sales, optionally filtering by email, date range, product, or pagination. For high sales volumes, combine product_id and/or after/before filters with page to avoid large unfiltered result sets. | | `GUMROAD_GET_USER` | Get User | Tool to retrieve the authenticated user's data. Use when you need the current user's profile details after authentication. | | `GUMROAD_LIST_PRODUCTS` | List Products | Tool to retrieve all products for the authenticated Gumroad account. Use when you need product IDs for downstream operations like license verification, subscriber retrieval, or offer-code management. | | `GUMROAD_SUBSCRIBE_TO_RESOURCE` | Subscribe to Resource | Tool to subscribe to a resource. Use when you need to receive real-time event webhooks after creating your webhook endpoint. | | `GUMROAD_UNSUBSCRIBE_FROM_RESOURCE` | Unsubscribe From Resource | Tool to unsubscribe from a resource. Use after verifying the subscription ID exists to remove webhook. | | `GUMROAD_VERIFY_LICENSE` | Verify License | Tool to verify a Gumroad license key against a specific product. Use when you need to check if a license key is valid, check usage count, or verify membership entitlement for software licensing or gated content. | ## Supported Triggers None listed. ## Creating MCP Server - Stand-alone vs Composio SDK The Gumroad MCP server is an implementation of the Model Context Protocol that connects your AI agents and assistants directly to Gumroad. Instead of manually wiring Gumroad APIs, OAuth, and scopes yourself, you get a structured, tool-based interface that an LLM can call safely. 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 You will need: - A Composio API key - An OpenAI API key (used by Autogen's OpenAIChatCompletionClient) - A Gumroad account you can connect to Composio - Some basic familiarity with Autogen and Python async ### 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 Composio, Autogen extensions, and dotenv. What's happening: - composio connects your agent to Gumroad via MCP - autogen-agentchat provides the AssistantAgent class - autogen-ext-openai provides the OpenAI model client - autogen-ext-tools provides MCP workbench support ```bash pip install composio python-dotenv pip install autogen-agentchat autogen-ext-openai autogen-ext-tools ``` ### 3. Set up environment variables Create a .env file in your project folder. What's happening: - COMPOSIO_API_KEY is required to talk to Composio - OPENAI_API_KEY is used by Autogen's OpenAI client - USER_ID is how Composio identifies which user's Gumroad connections to use ```bash COMPOSIO_API_KEY=your-composio-api-key OPENAI_API_KEY=your-openai-api-key USER_ID=your-user-identifier@example.com ``` ### 4. Import dependencies and create Tool Router session What's happening: - load_dotenv() reads your .env file - Composio(api_key=...) initializes the SDK - create(...) creates a Tool Router session that exposes Gumroad tools - session.mcp.url is the MCP endpoint that Autogen will connect to ```python import asyncio import os from dotenv import load_dotenv from composio import Composio from autogen_agentchat.agents import AssistantAgent from autogen_ext.models.openai import OpenAIChatCompletionClient from autogen_ext.tools.mcp import McpWorkbench, StreamableHttpServerParams load_dotenv() async def main(): # Initialize Composio and create a Gumroad session composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY")) session = composio.create( user_id=os.getenv("USER_ID"), toolkits=["gumroad"] ) url = session.mcp.url ``` ### 5. Configure MCP parameters for Autogen Autogen expects parameters describing how to talk to the MCP server. That is what StreamableHttpServerParams is for. What's happening: - url points to the Tool Router MCP endpoint from Composio - timeout is the HTTP timeout for requests - sse_read_timeout controls how long to wait when streaming responses - terminate_on_close=True cleans up the MCP server process when the workbench is closed ```python # Configure MCP server parameters for Streamable HTTP server_params = StreamableHttpServerParams( url=url, timeout=30.0, sse_read_timeout=300.0, terminate_on_close=True, headers={"x-api-key": os.getenv("COMPOSIO_API_KEY")} ) ``` ### 6. Create the model client and agent What's happening: - OpenAIChatCompletionClient wraps the OpenAI model for Autogen - McpWorkbench connects the agent to the MCP tools - AssistantAgent is configured with the Gumroad tools from the workbench ```python # Create model client model_client = OpenAIChatCompletionClient( model="gpt-5", api_key=os.getenv("OPENAI_API_KEY") ) # Use McpWorkbench as context manager async with McpWorkbench(server_params) as workbench: # Create Gumroad assistant agent with MCP tools agent = AssistantAgent( name="gumroad_assistant", description="An AI assistant that helps with Gumroad operations.", model_client=model_client, workbench=workbench, model_client_stream=True, max_tool_iterations=10 ) ``` ### 7. Run the interactive chat loop What's happening: - The script prompts you in a loop with You: - Autogen passes your input to the model, which decides which Gumroad tools to call via MCP - agent.run_stream(...) yields streaming messages as the agent thinks and calls tools - Typing exit, quit, or bye ends the loop ```python print("Chat started! Type 'exit' or 'quit' to end the conversation.\n") print("Ask any Gumroad related question or task to the agent.\n") # Conversation loop 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") # Run the agent with streaming try: response_text = "" async for message in agent.run_stream(task=user_input): if hasattr(message, "content") and message.content: response_text = message.content # Print the final response if response_text: print(f"Agent: {response_text}\n") else: print("Agent: I encountered an issue processing your request.\n") except Exception as e: print(f"Agent: Sorry, I encountered an error: {str(e)}\n") ``` ## Complete Code ```python import asyncio import os from dotenv import load_dotenv from composio import Composio from autogen_agentchat.agents import AssistantAgent from autogen_ext.models.openai import OpenAIChatCompletionClient from autogen_ext.tools.mcp import McpWorkbench, StreamableHttpServerParams load_dotenv() async def main(): # Initialize Composio and create a Gumroad session composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY")) session = composio.create( user_id=os.getenv("USER_ID"), toolkits=["gumroad"] ) url = session.mcp.url # Configure MCP server parameters for Streamable HTTP server_params = StreamableHttpServerParams( url=url, timeout=30.0, sse_read_timeout=300.0, terminate_on_close=True, headers={"x-api-key": os.getenv("COMPOSIO_API_KEY")} ) # Create model client model_client = OpenAIChatCompletionClient( model="gpt-5", api_key=os.getenv("OPENAI_API_KEY") ) # Use McpWorkbench as context manager async with McpWorkbench(server_params) as workbench: # Create Gumroad assistant agent with MCP tools agent = AssistantAgent( name="gumroad_assistant", description="An AI assistant that helps with Gumroad operations.", model_client=model_client, workbench=workbench, model_client_stream=True, max_tool_iterations=10 ) print("Chat started! Type 'exit' or 'quit' to end the conversation.\n") print("Ask any Gumroad related question or task to the agent.\n") # Conversation loop 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") # Run the agent with streaming try: response_text = "" async for message in agent.run_stream(task=user_input): if hasattr(message, 'content') and message.content: response_text = message.content # Print the final response if response_text: print(f"Agent: {response_text}\n") else: print("Agent: I encountered an issue processing your request.\n") except Exception as e: print(f"Agent: Sorry, I encountered an error: {str(e)}\n") if __name__ == "__main__": asyncio.run(main()) ``` ## Conclusion You now have an Autogen assistant wired into Gumroad through Composio's Tool Router and MCP. From here you can: - Add more toolkits to the toolkits list, for example notion or hubspot - Refine the agent description to point it at specific workflows - Wrap this script behind a UI, Slack bot, or internal tool Once the pattern is clear for Gumroad, you can reuse the same structure for other MCP-enabled apps with minimal code changes. ## How to build Gumroad MCP Agent with another framework - [ChatGPT](https://composio.dev/toolkits/gumroad/framework/chatgpt) - [Antigravity](https://composio.dev/toolkits/gumroad/framework/antigravity) - [OpenAI Agents SDK](https://composio.dev/toolkits/gumroad/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/gumroad/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/gumroad/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/gumroad/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/gumroad/framework/codex) - [Cursor](https://composio.dev/toolkits/gumroad/framework/cursor) - [VS Code](https://composio.dev/toolkits/gumroad/framework/vscode) - [OpenCode](https://composio.dev/toolkits/gumroad/framework/opencode) - [OpenClaw](https://composio.dev/toolkits/gumroad/framework/openclaw) - [Hermes](https://composio.dev/toolkits/gumroad/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/gumroad/framework/cli) - [Google ADK](https://composio.dev/toolkits/gumroad/framework/google-adk) - [LangChain](https://composio.dev/toolkits/gumroad/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/gumroad/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/gumroad/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/gumroad/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/gumroad/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 lets merchants accept Bitcoin payments directly, cutting out middlemen and boosting privacy. - [Cdr platform](https://composio.dev/toolkits/cdr_platform) - Cdr platform is an API for purchasing carbon dioxide removal services. It enables businesses to offset emissions by accessing verified carbon removal projects. - [Cloudcart](https://composio.dev/toolkits/cloudcart) - CloudCart is an e-commerce platform for building and managing online stores. It helps businesses streamline product listings, orders, and customer engagement. - [Countdown api](https://composio.dev/toolkits/countdown_api) - Countdown API gives you real-time, structured eBay product data, reviews, and seller feedback. Perfect for powering price monitoring, product research, or marketplace analytics workflows. - [Dpd2](https://composio.dev/toolkits/dpd2) - Dpd2 is a robust email management platform for handling, sorting, and automating email workflows. 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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. - [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. 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With a standalone Gumroad MCP server, the agents and LLMs can only access a fixed set of Gumroad tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Gumroad and many other apps based on the task at hand, all through a single MCP endpoint. ### Can I use Tool Router MCP with Autogen? Yes, you can. Autogen 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 Gumroad tools. ### Can I manage the permissions and scopes for Gumroad while using Tool Router? Yes, absolutely. You can configure which Gumroad 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 Gumroad data and credentials are handled as safely as possible. --- [See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)