# How to integrate Stannp MCP with Autogen ```json { "title": "How to integrate Stannp MCP with Autogen", "toolkit": "Stannp", "toolkit_slug": "stannp", "framework": "AutoGen", "framework_slug": "autogen", "url": "https://composio.dev/toolkits/stannp/framework/autogen", "markdown_url": "https://composio.dev/toolkits/stannp/framework/autogen.md", "updated_at": "2026-05-06T08:29:47.592Z" } ``` ## Introduction This guide walks you through connecting Stannp to AutoGen using the Composio tool router. By the end, you'll have a working Stannp agent that can add new customer to holiday postcard group, import client mailing list from spreadsheet, list all available postcard templates through natural language commands. This guide will help you understand how to give your AutoGen agent real control over a Stannp account through Composio's Stannp MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved. ## Also integrate Stannp with - [OpenAI Agents SDK](https://composio.dev/toolkits/stannp/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/stannp/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/stannp/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/stannp/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/stannp/framework/codex) - [OpenClaw](https://composio.dev/toolkits/stannp/framework/openclaw) - [Hermes](https://composio.dev/toolkits/stannp/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/stannp/framework/cli) - [Google ADK](https://composio.dev/toolkits/stannp/framework/google-adk) - [LangChain](https://composio.dev/toolkits/stannp/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/stannp/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/stannp/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/stannp/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/stannp/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 Stannp - Wire that MCP URL into Autogen using McpWorkbench and StreamableHttpServerParams - Configure an Autogen AssistantAgent that can call Stannp tools - Run a live chat loop where you ask the agent to perform Stannp 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 Stannp MCP server, and what's possible with it? The Stannp MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Stannp account. It provides structured and secure access to your direct mail contacts, groups, and templates, so your agent can perform actions like managing recipient lists, importing contacts, and retrieving mailing templates on your behalf. - Organize and manage recipient groups: Easily create new recipient groups and add contacts, helping you segment your mailing lists for targeted direct mail campaigns. - Import bulk recipients efficiently: Let your agent upload and import contacts from CSV or XLS files directly into Stannp, streamlining the process of building large mailing lists. - Retrieve and view contact details: Instantly fetch information on specific contacts or list all your contacts, making it simple to keep track of who’s in your database. - Access and manage templates: Quickly list and review all available Stannp templates, so your agent can select the right one when setting up new campaigns or mailings. ## Supported Tools | Tool slug | Name | Description | |---|---|---| | `STANNP_ADD_RECIPIENT_TO_GROUP` | Add Recipient to Group | Tool to add a recipient to a recipient group. use when you need to add new mailing list subscribers. | | `STANNP_CREATE_GROUP` | Create recipient group | Tool to create a new recipient group in stannp. use when you need to organize contacts into a distinct group before sending campaigns. | | `STANNP_GET_CONTACT` | Get Contact | Tool to retrieve details of a specific contact. use when you need all stored fields of a contact by its id. | | `STANNP_IMPORT_RECIPIENTS` | Import Recipients | Tool to import recipients from a csv or xls file into a stannp recipient group. use when you have a mailing list file ready to upload. | | `STANNP_LIST_CONTACTS` | List Contacts | Tool to list all contacts. use when you need to retrieve contacts with optional pagination filters. | | `STANNP_LIST_TEMPLATES` | List Templates | Tool to list all templates associated with the account. use when you need to retrieve available templates after authentication. | ## Supported Triggers None listed. ## Creating MCP Server - Stand-alone vs Composio SDK The Stannp MCP server is an implementation of the Model Context Protocol that connects your AI agents and assistants directly to Stannp. Instead of manually wiring Stannp 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 Stannp 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 Stannp 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 Stannp 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 Stannp 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 Stannp session composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY")) session = composio.create( user_id=os.getenv("USER_ID"), toolkits=["stannp"] ) 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 Stannp 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 Stannp assistant agent with MCP tools agent = AssistantAgent( name="stannp_assistant", description="An AI assistant that helps with Stannp 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 Stannp 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 Stannp 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 Stannp session composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY")) session = composio.create( user_id=os.getenv("USER_ID"), toolkits=["stannp"] ) 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 Stannp assistant agent with MCP tools agent = AssistantAgent( name="stannp_assistant", description="An AI assistant that helps with Stannp 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 Stannp 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 Stannp 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 Stannp, you can reuse the same structure for other MCP-enabled apps with minimal code changes. ## How to build Stannp MCP Agent with another framework - [OpenAI Agents SDK](https://composio.dev/toolkits/stannp/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/stannp/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/stannp/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/stannp/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/stannp/framework/codex) - [OpenClaw](https://composio.dev/toolkits/stannp/framework/openclaw) - [Hermes](https://composio.dev/toolkits/stannp/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/stannp/framework/cli) - [Google ADK](https://composio.dev/toolkits/stannp/framework/google-adk) - [LangChain](https://composio.dev/toolkits/stannp/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/stannp/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/stannp/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/stannp/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/stannp/framework/crew-ai) ## Related Toolkits - [Metaads](https://composio.dev/toolkits/metaads) - Metaads is Meta's official Ads API that lets you manage, analyze, and optimize your Facebook and Instagram ad campaigns. Streamline ad operations and gain deeper insights with robust automation. - [Adrapid](https://composio.dev/toolkits/adrapid) - Adrapid is a platform for rapid creation of digital marketing visuals using templates. It streamlines design workflows for banners, images, and HTML5 content with automation. - [Adyntel](https://composio.dev/toolkits/adyntel) - Adyntel is an API that retrieves LinkedIn ads for any company using a domain or LinkedIn Page ID. Easily access competitive ad intelligence to power your marketing workflows. - [Beaconstac](https://composio.dev/toolkits/beaconstac) - Beaconstac is a platform for creating and managing QR codes and proximity beacons. It helps businesses engage customers and track marketing performance with powerful analytics. - [Campaign cleaner](https://composio.dev/toolkits/campaign_cleaner) - Campaign cleaner is an email campaign optimization tool that boosts compatibility and deliverability across email clients. It helps marketers get better results by cleaning, enhancing, and ensuring high performance for every campaign. - [Deadline funnel](https://composio.dev/toolkits/deadline_funnel) - Deadline Funnel lets you create personalized deadlines and timers for your marketing campaigns. It helps marketers boost conversions by adding authentic urgency to offers. - [Google Ads](https://composio.dev/toolkits/googleads) - Google Ads is Google's online advertising platform for creating, managing, and optimizing digital campaigns. It helps businesses reach targeted customers and maximize return on ad spend. - [Instantly](https://composio.dev/toolkits/instantly) - Instantly is a platform for automating cold email outreach, managing leads, and optimizing deliverability. Get better results from email campaigns with minimal manual effort. - [Proofly](https://composio.dev/toolkits/proofly) - Proofly is a social proof platform that displays real-time notifications of customer activity on your site. It helps you increase website conversions by building trust and urgency for visitors. - [Segmetrics](https://composio.dev/toolkits/segmetrics) - Segmetrics is a marketing analytics platform that reveals detailed insights into your customer journeys. It helps businesses optimize marketing strategies with accurate, actionable reporting. - [Semrush](https://composio.dev/toolkits/semrush) - Semrush is a leading SEO tool suite for keyword research, competitor analysis, and campaign tracking. It empowers marketers to improve search rankings and optimize online visibility. - [Sendloop](https://composio.dev/toolkits/sendloop) - Sendloop is an all-in-one email marketing platform built for SaaS, e-commerce, and small businesses. It makes it easy to send campaigns, manage lists, and track results—all in one place. - [Sidetracker](https://composio.dev/toolkits/sidetracker) - Sidetracker is a marketing analytics platform that tracks expenses, sales funnels, and customer journeys. It helps optimize marketing spend and visualize campaign performance from start to finish. - [Tapfiliate](https://composio.dev/toolkits/tapfiliate) - Tapfiliate is an affiliate and referral tracking platform for businesses. It helps companies efficiently manage, track, and grow their affiliate programs. - [Tpscheck](https://composio.dev/toolkits/tpscheck) - Tpscheck is a real-time service for verifying UK phone numbers against TPS and CTPS registers. It helps prevent unwanted marketing calls and ensures compliance with UK telemarketing laws. - [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 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. - [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. - [Outlook](https://composio.dev/toolkits/outlook) - Outlook is Microsoft's email and calendaring platform for unified communications and scheduling. It helps users stay organized with powerful email, contacts, and calendar management. - [Twitter](https://composio.dev/toolkits/twitter) - Twitter is a social media platform for sharing real-time updates, conversations, and news. Stay connected, informed, and engaged with communities worldwide. ## Frequently Asked Questions ### What are the differences in Tool Router MCP and Stannp MCP? With a standalone Stannp MCP server, the agents and LLMs can only access a fixed set of Stannp tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Stannp 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 Stannp tools. ### Can I manage the permissions and scopes for Stannp while using Tool Router? Yes, absolutely. You can configure which Stannp 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 Stannp data and credentials are handled as safely as possible. --- [See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)