# How to integrate Humanitix MCP with Autogen ```json { "title": "How to integrate Humanitix MCP with Autogen", "toolkit": "Humanitix", "toolkit_slug": "humanitix", "framework": "AutoGen", "framework_slug": "autogen", "url": "https://composio.dev/toolkits/humanitix/framework/autogen", "markdown_url": "https://composio.dev/toolkits/humanitix/framework/autogen.md", "updated_at": "2026-05-12T10:15:20.429Z" } ``` ## Introduction This guide walks you through connecting Humanitix to AutoGen using the Composio tool router. By the end, you'll have a working Humanitix agent that can list all upcoming events this month, get details for event by id, show all event tags in your account through natural language commands. This guide will help you understand how to give your AutoGen agent real control over a Humanitix account through Composio's Humanitix MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved. ## Also integrate Humanitix with - [OpenAI Agents SDK](https://composio.dev/toolkits/humanitix/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/humanitix/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/humanitix/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/humanitix/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/humanitix/framework/codex) - [OpenClaw](https://composio.dev/toolkits/humanitix/framework/openclaw) - [Hermes](https://composio.dev/toolkits/humanitix/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/humanitix/framework/cli) - [Google ADK](https://composio.dev/toolkits/humanitix/framework/google-adk) - [LangChain](https://composio.dev/toolkits/humanitix/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/humanitix/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/humanitix/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/humanitix/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/humanitix/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 Humanitix - Wire that MCP URL into Autogen using McpWorkbench and StreamableHttpServerParams - Configure an Autogen AssistantAgent that can call Humanitix tools - Run a live chat loop where you ask the agent to perform Humanitix 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 Humanitix MCP server, and what's possible with it? The Humanitix MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Humanitix account. It provides structured and secure access to your event data, so your agent can retrieve event details, list your events, and manage tags—all without manual lookups or jumping between dashboards. - Event detail retrieval: Instantly fetch comprehensive information about any event using its unique event ID, including metadata and ticketing details. - Event list management: Ask your agent to page through and list all events in your Humanitix account, making it easy to get a snapshot of your current and past events. - Tag discovery and organization: Effortlessly retrieve and review all tags associated with your events, helping you organize and categorize your event data for streamlined reporting. - Quick event insights: Let your agent surface essential event stats and summaries, so you can make fast decisions or prepare reports without digging through the Humanitix dashboard. ## Supported Tools | Tool slug | Name | Description | |---|---|---| | `HUMANITIX_GET_EVENT` | Get Event | Tool to retrieve detailed information about a specific event. Use when you have the eventId and need full metadata. | | `HUMANITIX_GET_EVENTS` | Get Events | Tool to retrieve a paginated list of events from your Humanitix account. Use when you need to page through your events after confirming API key validity. | | `HUMANITIX_GET_TAGS` | Get Tags | Tool to get all tags associated with your Humanitix account. Use when you need to list or paginate through tags after setting up your API key. | ## Supported Triggers None listed. ## Creating MCP Server - Stand-alone vs Composio SDK The Humanitix MCP server is an implementation of the Model Context Protocol that connects your AI agents and assistants directly to Humanitix. Instead of manually wiring Humanitix 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 Humanitix 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 Humanitix 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 Humanitix 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 Humanitix 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 Humanitix session composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY")) session = composio.create( user_id=os.getenv("USER_ID"), toolkits=["humanitix"] ) 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 Humanitix 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 Humanitix assistant agent with MCP tools agent = AssistantAgent( name="humanitix_assistant", description="An AI assistant that helps with Humanitix 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 Humanitix 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 Humanitix 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 Humanitix session composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY")) session = composio.create( user_id=os.getenv("USER_ID"), toolkits=["humanitix"] ) 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 Humanitix assistant agent with MCP tools agent = AssistantAgent( name="humanitix_assistant", description="An AI assistant that helps with Humanitix 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 Humanitix 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 Humanitix 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 Humanitix, you can reuse the same structure for other MCP-enabled apps with minimal code changes. ## How to build Humanitix MCP Agent with another framework - [OpenAI Agents SDK](https://composio.dev/toolkits/humanitix/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/humanitix/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/humanitix/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/humanitix/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/humanitix/framework/codex) - [OpenClaw](https://composio.dev/toolkits/humanitix/framework/openclaw) - [Hermes](https://composio.dev/toolkits/humanitix/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/humanitix/framework/cli) - [Google ADK](https://composio.dev/toolkits/humanitix/framework/google-adk) - [LangChain](https://composio.dev/toolkits/humanitix/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/humanitix/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/humanitix/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/humanitix/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/humanitix/framework/crew-ai) ## Related Toolkits - [Google Calendar](https://composio.dev/toolkits/googlecalendar) - Google Calendar is a time management service for scheduling meetings, events, and reminders. It streamlines personal and team organization with integrated notifications and sharing options. - [Apaleo](https://composio.dev/toolkits/apaleo) - Apaleo is a cloud-based property management platform for hospitality businesses. It centralizes reservations, billing, and daily operations for smoother hotel management. - [Appointo](https://composio.dev/toolkits/appointo) - Appointo is an appointment booking platform for Shopify stores. It lets businesses add online scheduling to their websites with zero coding. - [Bart](https://composio.dev/toolkits/bart) - Bart is the Bay Area Rapid Transit system, providing fast public transportation across the San Francisco Bay Area. It helps commuters and travelers get real-time schedule info, plan routes, and stay updated on service changes. - [Bookingmood](https://composio.dev/toolkits/bookingmood) - Bookingmood is commission-free booking software for rental businesses. It lets you manage reservations and sync bookings directly on your website. - [Booqable](https://composio.dev/toolkits/booqable) - Booqable is a rental software platform for managing inventory, bookings, and reservations. It helps businesses streamline rentals and keep track of every item with ease. - [Cal](https://composio.dev/toolkits/cal) - Cal is a meeting scheduling platform that offers shareable booking links and real-time calendar syncing. It streamlines the process of finding mutual availability to make scheduling effortless. - [Calendarhero](https://composio.dev/toolkits/calendarhero) - Calendarhero is a powerful scheduling platform that streamlines your calendar management across multiple services. It helps you efficiently schedule, reschedule, and organize meetings without the back-and-forth. - [Calendly](https://composio.dev/toolkits/calendly) - Calendly is an appointment scheduling tool that automates meeting invitations, availability checks, and reminders. It helps individuals and teams avoid endless email back-and-forth when booking meetings. - [Etermin](https://composio.dev/toolkits/etermin) - eTermin is an online appointment scheduling platform for businesses to manage bookings. It streamlines client appointments, saving time and reducing scheduling conflicts. - [Evenium](https://composio.dev/toolkits/evenium) - Evenium is an all-in-one platform for managing professional events, from planning to analysis. It helps teams simplify event logistics, boost engagement, and track every detail in one place. - [Eventee](https://composio.dev/toolkits/eventee) - Eventee is a user-friendly event management platform for mobile and web. It boosts attendee engagement for in-person, virtual, and hybrid events. - [Eventzilla](https://composio.dev/toolkits/eventzilla) - Eventzilla is an event management platform for creating, promoting, and running events. It streamlines ticketing, registration, and attendee coordination for organizers. - [Lodgify](https://composio.dev/toolkits/lodgify) - Lodgify is an all-in-one vacation rental software for property managers and owners. It centralizes bookings, guest messaging, and channel synchronization in one dashboard. - [Planyo Online Booking](https://composio.dev/toolkits/planyo_online_booking) - Planyo Online Booking is a flexible reservation system for managing bookings by day, hour, or event. It streamlines scheduling for any business needing reservations. - [Scheduleonce](https://composio.dev/toolkits/scheduleonce) - Scheduleonce is a scheduling platform for capturing, qualifying, and engaging with inbound leads. It streamlines appointment booking and follow-ups for faster lead conversion. - [Supersaas](https://composio.dev/toolkits/supersaas) - Supersaas is a flexible appointment scheduling platform for businesses and individuals. It streamlines bookings, reminders, and calendar management in one place. - [Sympla](https://composio.dev/toolkits/sympla) - Sympla is a platform for managing in-person and online events, ticket sales, and registrations. It streamlines event setup, attendee tracking, and digital content delivery. - [Gmail](https://composio.dev/toolkits/gmail) - Gmail is Google's email service with powerful spam protection, search, and G Suite integration. It keeps your inbox organized and makes communication fast and reliable. - [Google Drive](https://composio.dev/toolkits/googledrive) - Google Drive is a cloud storage platform for uploading, sharing, and collaborating on files. It's perfect for keeping your documents accessible and organized across devices. ## Frequently Asked Questions ### What are the differences in Tool Router MCP and Humanitix MCP? With a standalone Humanitix MCP server, the agents and LLMs can only access a fixed set of Humanitix tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Humanitix 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 Humanitix tools. ### Can I manage the permissions and scopes for Humanitix while using Tool Router? Yes, absolutely. You can configure which Humanitix 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 Humanitix data and credentials are handled as safely as possible. --- [See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)