# How to integrate Y gy MCP with Autogen ```json { "title": "How to integrate Y gy MCP with Autogen", "toolkit": "Y gy", "toolkit_slug": "y_gy", "framework": "AutoGen", "framework_slug": "autogen", "url": "https://composio.dev/toolkits/y_gy/framework/autogen", "markdown_url": "https://composio.dev/toolkits/y_gy/framework/autogen.md", "updated_at": "2026-05-06T08:34:15.985Z" } ``` ## Introduction This guide walks you through connecting Y gy to AutoGen using the Composio tool router. By the end, you'll have a working Y gy agent that can shorten this event registration link, list all short links i created, delete this expired promo short link through natural language commands. This guide will help you understand how to give your AutoGen agent real control over a Y gy account through Composio's Y gy MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved. ## Also integrate Y gy with - [OpenAI Agents SDK](https://composio.dev/toolkits/y_gy/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/y_gy/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/y_gy/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/y_gy/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/y_gy/framework/codex) - [OpenClaw](https://composio.dev/toolkits/y_gy/framework/openclaw) - [Hermes](https://composio.dev/toolkits/y_gy/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/y_gy/framework/cli) - [Google ADK](https://composio.dev/toolkits/y_gy/framework/google-adk) - [LangChain](https://composio.dev/toolkits/y_gy/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/y_gy/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/y_gy/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/y_gy/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/y_gy/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 Y gy - Wire that MCP URL into Autogen using McpWorkbench and StreamableHttpServerParams - Configure an Autogen AssistantAgent that can call Y gy tools - Run a live chat loop where you ask the agent to perform Y gy 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 Y gy MCP server, and what's possible with it? The Y gy MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Y gy account. It provides structured and secure access to your link management, so your agent can perform actions like creating short links, organizing tags, retrieving analytics, and managing your URL resources automatically. - Instant short link creation: Quickly generate new short, branded links from long URLs, with support for custom domains or aliases—all via your agent's commands. - Comprehensive link management: List all your existing short links, fetch details for any link by ID, and remove outdated or unwanted short links effortlessly. - Tag organization and automation: Automatically create new tags to categorize links, fetch all available tags, or delete specific tags to keep your link library tidy and organized. - User onboarding and account management: Onboard new users to your Y gy workspace by registering accounts programmatically, streamlining access control and user management. ## Supported Tools | Tool slug | Name | Description | |---|---|---| | `Y_GY_CREATE_SHORT_LINK` | Create Y.gy Short Link | Tool to create a new short link with optional custom domain or alias. use when you need to shorten a long url into a branded link. | | `Y_GY_CREATE_TAG` | Create Tag | Tool to create a new tag. use after determining the tag name to categorize links. | | `Y_GY_DELETE_SHORT_LINK` | Delete Y.GY Short Link | Tool to delete a specific short link by its id. use when you need to remove a short link after confirming its id. | | `Y_GY_DELETE_TAG` | Delete a tag by ID | Tool to delete a tag. use when you need to remove a tag by its id after confirming it exists. | | `Y_GY_GET_ALL_LINKS` | Get all links | Tool to fetch all short links with optional pagination. use when you need to list existing links with filters. | | `Y_GY_GET_ALL_TAGS` | Get all tags | Tool to retrieve all tags associated with the organization. use when you need to list all available tags for categorizing resources. | | `Y_GY_GET_SHORT_LINK` | Get Short Link Details | Tool to retrieve details for a short link. use when you have a link id and need its metadata. | | `Y_GY_REGISTER_USER` | Register User | Tool to register a new user account. use when onboarding a new user to the y.gy system with their chosen username, password, and email. | ## Supported Triggers None listed. ## Creating MCP Server - Stand-alone vs Composio SDK The Y gy MCP server is an implementation of the Model Context Protocol that connects your AI agents and assistants directly to Y gy. Instead of manually wiring Y gy 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 Y gy 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 Y gy 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 Y gy 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 Y gy 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 Y gy session composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY")) session = composio.create( user_id=os.getenv("USER_ID"), toolkits=["y_gy"] ) 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 Y gy 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 Y gy assistant agent with MCP tools agent = AssistantAgent( name="y_gy_assistant", description="An AI assistant that helps with Y gy 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 Y gy 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 Y gy 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 Y gy session composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY")) session = composio.create( user_id=os.getenv("USER_ID"), toolkits=["y_gy"] ) 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 Y gy assistant agent with MCP tools agent = AssistantAgent( name="y_gy_assistant", description="An AI assistant that helps with Y gy 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 Y gy 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 Y gy 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 Y gy, you can reuse the same structure for other MCP-enabled apps with minimal code changes. ## How to build Y gy MCP Agent with another framework - [OpenAI Agents SDK](https://composio.dev/toolkits/y_gy/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/y_gy/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/y_gy/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/y_gy/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/y_gy/framework/codex) - [OpenClaw](https://composio.dev/toolkits/y_gy/framework/openclaw) - [Hermes](https://composio.dev/toolkits/y_gy/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/y_gy/framework/cli) - [Google ADK](https://composio.dev/toolkits/y_gy/framework/google-adk) - [LangChain](https://composio.dev/toolkits/y_gy/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/y_gy/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/y_gy/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/y_gy/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/y_gy/framework/crew-ai) ## Related Toolkits - [Google Sheets](https://composio.dev/toolkits/googlesheets) - Google Sheets is a cloud-based spreadsheet tool for real-time collaboration and data analysis. It lets teams work together from anywhere, updating information instantly. - [Notion](https://composio.dev/toolkits/notion) - Notion is a collaborative workspace for notes, docs, wikis, and tasks. It streamlines team knowledge, project tracking, and workflow customization in one place. - [Airtable](https://composio.dev/toolkits/airtable) - Airtable combines the flexibility of spreadsheets with the power of a database for easy project and data management. Teams use Airtable to organize, track, and collaborate with custom views and automations. - [Asana](https://composio.dev/toolkits/asana) - Asana is a collaborative work management platform for teams to organize and track projects. It streamlines teamwork, boosts productivity, and keeps everyone aligned on goals. - [Google Tasks](https://composio.dev/toolkits/googletasks) - Google Tasks is a to-do list and task management tool integrated into Gmail and Google Calendar. It helps you organize, track, and complete tasks across your Google ecosystem. - [Linear](https://composio.dev/toolkits/linear) - Linear is a modern issue tracking and project planning tool for fast-moving teams. It helps streamline workflows, organize projects, and boost productivity. - [Jira](https://composio.dev/toolkits/jira) - Jira is Atlassian’s platform for bug tracking, issue tracking, and agile project management. It helps teams organize work, prioritize tasks, and deliver projects efficiently. - [Clickup](https://composio.dev/toolkits/clickup) - ClickUp is an all-in-one productivity platform for managing tasks, docs, goals, and team collaboration. It streamlines project workflows so teams can work smarter and stay organized in one place. - [Monday](https://composio.dev/toolkits/monday) - Monday.com is a customizable work management platform for project planning and collaboration. It helps teams organize tasks, automate workflows, and track progress in real time. - [Addressfinder](https://composio.dev/toolkits/addressfinder) - Addressfinder is a data quality platform for verifying addresses, emails, and phone numbers. It helps you ensure accurate customer and contact data every time. - [Agiled](https://composio.dev/toolkits/agiled) - Agiled is an all-in-one business management platform for CRM, projects, and finance. It helps you streamline workflows, consolidate client data, and manage business processes in one place. - [Ascora](https://composio.dev/toolkits/ascora) - Ascora is a cloud-based field service management platform for service businesses. It streamlines scheduling, invoicing, and customer operations in one place. - [Basecamp](https://composio.dev/toolkits/basecamp) - Basecamp is a project management and team collaboration tool by 37signals. It helps teams organize tasks, share files, and communicate efficiently in one place. - [Beeminder](https://composio.dev/toolkits/beeminder) - Beeminder is an online goal-tracking platform that uses monetary pledges to keep you motivated. Stay accountable and hit your targets with real financial incentives. - [Boxhero](https://composio.dev/toolkits/boxhero) - Boxhero is a cloud-based inventory management platform for SMBs, offering real-time updates, barcode scanning, and team collaboration. It helps businesses streamline stock tracking and analytics for smarter inventory decisions. - [Breathe HR](https://composio.dev/toolkits/breathehr) - Breathe HR is cloud-based HR software for SMEs to manage employee data, absences, and performance. It simplifies HR admin, making it easy to keep employee records accurate and up to date. - [Breeze](https://composio.dev/toolkits/breeze) - Breeze is a project management platform designed to help teams plan, track, and collaborate on projects. It streamlines workflows and keeps everyone on the same page. - [Bugherd](https://composio.dev/toolkits/bugherd) - Bugherd is a visual feedback and bug tracking tool for websites. It helps teams and clients report website issues directly on live sites for faster fixes. - [Canny](https://composio.dev/toolkits/canny) - Canny is a platform for managing customer feedback and feature requests. It helps teams prioritize product decisions based on real user insights. - [Chmeetings](https://composio.dev/toolkits/chmeetings) - Chmeetings is a church management platform for events, members, donations, and volunteers. It streamlines church operations and improves community engagement. ## Frequently Asked Questions ### What are the differences in Tool Router MCP and Y gy MCP? With a standalone Y gy MCP server, the agents and LLMs can only access a fixed set of Y gy tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Y gy 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 Y gy tools. ### Can I manage the permissions and scopes for Y gy while using Tool Router? Yes, absolutely. You can configure which Y gy 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 Y gy data and credentials are handled as safely as possible. --- [See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)