# How to integrate Postalytics MCP with Autogen ```json { "title": "How to integrate Postalytics MCP with Autogen", "toolkit": "Postalytics", "toolkit_slug": "postalytics", "framework": "AutoGen", "framework_slug": "autogen", "url": "https://composio.dev/toolkits/postalytics/framework/autogen", "markdown_url": "https://composio.dev/toolkits/postalytics/framework/autogen.md", "updated_at": "2026-03-29T06:46:11.008Z" } ``` ## Introduction This guide walks you through connecting Postalytics to AutoGen using the Composio tool router. By the end, you'll have a working Postalytics agent that can create a new direct mail campaign, sync contacts from hubspot to postalytics, track delivery status for recent campaigns through natural language commands. This guide will help you understand how to give your AutoGen agent real control over a Postalytics account through Composio's Postalytics MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved. ## Also integrate Postalytics with - [OpenAI Agents SDK](https://composio.dev/toolkits/postalytics/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/postalytics/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/postalytics/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/postalytics/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/postalytics/framework/codex) - [OpenClaw](https://composio.dev/toolkits/postalytics/framework/openclaw) - [Hermes](https://composio.dev/toolkits/postalytics/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/postalytics/framework/cli) - [Google ADK](https://composio.dev/toolkits/postalytics/framework/google-adk) - [LangChain](https://composio.dev/toolkits/postalytics/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/postalytics/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/postalytics/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/postalytics/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/postalytics/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 Postalytics - Wire that MCP URL into Autogen using McpWorkbench and StreamableHttpServerParams - Configure an Autogen AssistantAgent that can call Postalytics tools - Run a live chat loop where you ask the agent to perform Postalytics 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 Postalytics MCP server, and what's possible with it? The Postalytics MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Postalytics account. It provides structured and secure access so your agent can perform Postalytics operations on your behalf. ## Supported Tools | Tool slug | Name | Description | |---|---|---| | `POSTALYTICS_ADD_ACCOUNT` | Add Account | Tool to create a new sub-account in the Postalytics system. Use when you need to create a new account with a unique ID associated with the requester's user ID as parent. The response includes the API key and user ID for the new account, which should be stored for future API calls. | | `POSTALYTICS_ADD_CONTACT` | Add Contact | Tool to add a contact to a specified contact list with their information. Use when you need to create a new contact or update an existing one on a contact list. | | `POSTALYTICS_CREATE_NEW_CAMPAIGN` | Create New Campaign | Tool to create a new direct mail campaign in Postalytics. Use when you need to start a new campaign with specified sender details and template. Important: A template must be created and proofed before creating the campaign. | | `POSTALYTICS_CREATE_SUPPRESSION_LIST` | Create Suppression List | Tool to create a new suppression list that can be used in campaigns to suppress contacts from being sent mail. Use when you need to create an empty suppression list. Note that contacts must be added separately using the SuppressionListContact API after the list is created. | | `POSTALYTICS_CREATE_SUPPRESSION_LIST_CONTACT` | Create Suppression List Contact | Tool to create a new suppression contact on a specified suppression list. Use when you need to add a contact to a suppression list to prevent them from receiving mailings. | | `POSTALYTICS_CREATE_TEMPLATE` | Create Template | Tool to create a new template with full HTML for postcard or letter. Use when you need to create a template by providing complete HTML markup or image URLs for front/back. The template can be used for various mail types including postcards, letters, and bifolds. | | `POSTALYTICS_CREATE_WEBHOOK` | Create Webhook | Tool to create a new webhook to receive campaign event notifications from Postalytics. Use when you need to set up a webhook endpoint that will be notified about campaign events like sent, delivered, opened, or clicked. | | `POSTALYTICS_DELETE_ACCOUNT` | Delete Account | Tool to delete a Postalytics account and all associated campaigns, templates, and lists. Use when you need to permanently remove a sub account or sub user account. Cannot delete parent accounts. | | `POSTALYTICS_DELETE_CAMPAIGN` | Delete Campaign | Tool to delete a campaign from the system. Use when you need to remove a campaign that is no longer needed. | | `POSTALYTICS_DELETE_SUPPRESSION_LIST` | Delete Suppression List | Tool to delete a specified suppression list. Use when you need to remove a suppression list that is no longer needed. | | `POSTALYTICS_DELETE_SUPPRESSION_LIST_CONTACT` | Delete Suppression List Contact | Tool to delete a specific contact from a suppression list. Use when you need to remove a contact from a suppression list in Postalytics. | | `POSTALYTICS_GET_ALL_CONTACT_LISTS` | Get All Contact Lists | Tool to retrieve all contact lists for an account. Use when you need to get a complete list of contact lists including their IDs, names, item counts, and creation dates. | | `POSTALYTICS_GET_ALL_CONTACTS_ON_A_LIST` | Get All Contacts on a List | Tool to retrieve all contacts from a specified contact list with pagination support. Use when you need to get contacts from a list, with optional pagination using start offset and limit parameters. | | `POSTALYTICS_GET_ALL_DRIP_CAMPAIGNS` | Get All Drip Campaigns | Tool to retrieve all triggered drip campaign names and endpoint IDs in the account. Use when you need to list all available drip campaigns for the authenticated user. | | `POSTALYTICS_GET_ALL_FLOWS` | Get All Flows | Tool to retrieve all flows for the requester's account. Use when you need to list or browse available flows. | | `POSTALYTICS_GET_ALL_WEBHOOKS` | Get All Webhooks | Tool to retrieve all webhooks configured for the authenticated account. Use when you need to view webhook configurations for campaigns. | | `POSTALYTICS_GET_INTEGRATIONS` | Get Integrations | Tool to retrieve all Connect integrations configured for the authenticated user's account. Use when you need to view CRM or data source integrations. | | `POSTALYTICS_GET_MY_ACCOUNT` | Get My Account | Tool to retrieve basic account information for the authenticated user. Use when you need to get account details such as contact information, address, or API key. | | `POSTALYTICS_GET_SUPPRESSION_LIST` | Get Suppression List | Tool to get the details of a suppression list based on the id supplied. Use when you need to retrieve information about a specific suppression list. | | `POSTALYTICS_GET_SUPPRESSION_LIST_CONTACT` | Get Suppression List Contact | Tool to retrieve a specific contact from a suppression list. Use when you need to get details about a contact on a specific suppression list by their list ID and contact ID. | | `POSTALYTICS_GET_SUPPRESSION_LIST_CONTACTS` | Get Suppression List Contacts | Tool to get all contacts on a specified suppression list. Use when you need to retrieve contacts that are suppressed for a particular list. | | `POSTALYTICS_GET_SUPPRESSION_LISTS` | Get Suppression Lists | Tool to retrieve all suppression lists for the authenticated user. Use when you need to view or manage suppression lists. Returns all lists or a specific list when ID is provided. | | `POSTALYTICS_UPDATE_ACCOUNT` | Update Account | Tool to update an existing account in the Postalytics system. Use when you need to modify account information such as contact details, address, or credentials for an existing account. | | `POSTALYTICS_UPDATE_SUPPRESSION_LIST_CONTACT` | Update Suppression List Contact | Tool to update a suppression contact on the specified suppression list. Use when you need to modify contact information for a specific contact on a suppression list. | ## Supported Triggers None listed. ## Creating MCP Server - Stand-alone vs Composio SDK The Postalytics MCP server is an implementation of the Model Context Protocol that connects your AI agents and assistants directly to Postalytics. Instead of manually wiring Postalytics 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 Postalytics 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 Postalytics 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 Postalytics 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 Postalytics 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 Postalytics session composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY")) session = composio.create( user_id=os.getenv("USER_ID"), toolkits=["postalytics"] ) 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 Postalytics 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 Postalytics assistant agent with MCP tools agent = AssistantAgent( name="postalytics_assistant", description="An AI assistant that helps with Postalytics 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 Postalytics 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 Postalytics 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 Postalytics session composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY")) session = composio.create( user_id=os.getenv("USER_ID"), toolkits=["postalytics"] ) 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 Postalytics assistant agent with MCP tools agent = AssistantAgent( name="postalytics_assistant", description="An AI assistant that helps with Postalytics 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 Postalytics 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 Postalytics 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 Postalytics, you can reuse the same structure for other MCP-enabled apps with minimal code changes. ## How to build Postalytics MCP Agent with another framework - [OpenAI Agents SDK](https://composio.dev/toolkits/postalytics/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/postalytics/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/postalytics/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/postalytics/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/postalytics/framework/codex) - [OpenClaw](https://composio.dev/toolkits/postalytics/framework/openclaw) - [Hermes](https://composio.dev/toolkits/postalytics/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/postalytics/framework/cli) - [Google ADK](https://composio.dev/toolkits/postalytics/framework/google-adk) - [LangChain](https://composio.dev/toolkits/postalytics/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/postalytics/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/postalytics/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/postalytics/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/postalytics/framework/crew-ai) ## Related Toolkits - [Reddit](https://composio.dev/toolkits/reddit) - Reddit is a social news platform with thriving user-driven communities (subreddits). It's the go-to place for discussion, content sharing, and viral marketing. - [Facebook](https://composio.dev/toolkits/facebook) - Facebook is a social media and advertising platform for businesses and creators. It helps you connect, share, and manage content across your public Facebook Pages. - [Linkedin](https://composio.dev/toolkits/linkedin) - LinkedIn is a professional networking platform for connecting, sharing content, and engaging with business opportunities. It's the go-to place for building your professional brand and unlocking new career connections. - [Active campaign](https://composio.dev/toolkits/active_campaign) - ActiveCampaign is a marketing automation and CRM platform for managing email campaigns, sales pipelines, and customer segmentation. It helps businesses engage customers and drive growth through smart automation and targeted outreach. - [ActiveTrail](https://composio.dev/toolkits/active_trail) - ActiveTrail is a user-friendly email marketing and automation platform. It helps you reach subscribers and automate campaigns with ease. - [Ahrefs](https://composio.dev/toolkits/ahrefs) - Ahrefs is an SEO and marketing platform for site audits, keyword research, and competitor insights. It helps you improve search rankings and drive organic traffic. - [Amcards](https://composio.dev/toolkits/amcards) - AMCards lets you create and mail personalized greeting cards online. Build stronger customer relationships with easy, automated card campaigns. - [Beamer](https://composio.dev/toolkits/beamer) - Beamer is a news and changelog platform for in-app announcements and feature updates. It helps companies boost user engagement by sharing news where users are most active. - [Benchmark email](https://composio.dev/toolkits/benchmark_email) - Benchmark Email is a platform for creating, sending, and tracking email campaigns. It's built to help you engage audiences and analyze results—all in one place. - [Bigmailer](https://composio.dev/toolkits/bigmailer) - BigMailer is an email marketing platform for managing multiple brands with white-labeling and automation. It helps teams streamline campaigns and simplify integration with Amazon SES. - [Brandfetch](https://composio.dev/toolkits/brandfetch) - Brandfetch is an API that delivers company logos, colors, and visual branding assets. It helps marketers and developers keep brand visuals consistent everywhere. - [Brevo](https://composio.dev/toolkits/brevo) - Brevo is an all-in-one email and SMS marketing platform for transactional messaging, automation, and CRM. It helps businesses engage customers and streamline communications through powerful campaign tools. - [Campayn](https://composio.dev/toolkits/campayn) - Campayn is an email marketing platform for creating, sending, and managing campaigns. It helps businesses engage contacts and grow audiences with easy-to-use tools. - [Cardly](https://composio.dev/toolkits/cardly) - Cardly is a platform for creating and sending personalized direct mail to customers. It helps businesses break through the digital clutter by getting real engagement via physical mailboxes. - [ClickSend](https://composio.dev/toolkits/clicksend) - ClickSend is a cloud-based SMS and email marketing platform for businesses. It streamlines communication by enabling quick message delivery and contact management. - [Crustdata](https://composio.dev/toolkits/crustdata) - CrustData is an AI-powered data intelligence platform for real-time company and people data. It helps B2B sales teams, AI SDRs, and investors react to live business signals. - [Curated](https://composio.dev/toolkits/curated) - Curated is a platform for collecting, curating, and publishing newsletters. It streamlines content aggregation and distribution for creators and teams. - [Customerio](https://composio.dev/toolkits/customerio) - Customer.io is a customer engagement platform for targeted messaging across email, SMS, and push. Easily automate, segment, and track communications with your audience. - [Cutt ly](https://composio.dev/toolkits/cutt_ly) - Cutt.ly is a URL shortening service for managing and analyzing links. Streamline your workflows with quick, trackable, and branded short URLs. - [Demio](https://composio.dev/toolkits/demio) - Demio is webinar software built for marketers, offering both live and automated sessions with interactive features. It helps teams engage audiences and optimize lead generation through detailed analytics. ## Frequently Asked Questions ### What are the differences in Tool Router MCP and Postalytics MCP? With a standalone Postalytics MCP server, the agents and LLMs can only access a fixed set of Postalytics tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Postalytics 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 Postalytics tools. ### Can I manage the permissions and scopes for Postalytics while using Tool Router? Yes, absolutely. You can configure which Postalytics 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 Postalytics data and credentials are handled as safely as possible. --- [See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)