# How to integrate Simplesat MCP with Autogen ```json { "title": "How to integrate Simplesat MCP with Autogen", "toolkit": "Simplesat", "toolkit_slug": "simplesat", "framework": "AutoGen", "framework_slug": "autogen", "url": "https://composio.dev/toolkits/simplesat/framework/autogen", "markdown_url": "https://composio.dev/toolkits/simplesat/framework/autogen.md", "updated_at": "2026-05-12T10:26:22.911Z" } ``` ## Introduction This guide walks you through connecting Simplesat to AutoGen using the Composio tool router. By the end, you'll have a working Simplesat agent that can add new customer from support ticket, update customer details after feedback received, add new team member to simplesat through natural language commands. This guide will help you understand how to give your AutoGen agent real control over a Simplesat account through Composio's Simplesat MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved. ## Also integrate Simplesat with - [OpenAI Agents SDK](https://composio.dev/toolkits/simplesat/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/simplesat/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/simplesat/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/simplesat/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/simplesat/framework/codex) - [OpenClaw](https://composio.dev/toolkits/simplesat/framework/openclaw) - [Hermes](https://composio.dev/toolkits/simplesat/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/simplesat/framework/cli) - [Google ADK](https://composio.dev/toolkits/simplesat/framework/google-adk) - [LangChain](https://composio.dev/toolkits/simplesat/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/simplesat/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/simplesat/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/simplesat/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/simplesat/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 Simplesat - Wire that MCP URL into Autogen using McpWorkbench and StreamableHttpServerParams - Configure an Autogen AssistantAgent that can call Simplesat tools - Run a live chat loop where you ask the agent to perform Simplesat 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 Simplesat MCP server, and what's possible with it? The Simplesat MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Simplesat account. It provides structured and secure access to your customer feedback platform, so your agent can perform actions like managing customer records, updating team members, streamlining survey workflows, and keeping your feedback data consistent. - Automated customer record management: Easily create new customers or update existing customer details in Simplesat using only an email address—no manual entry needed. - Seamless team member administration: Add new team members or update their information, including names, roles, and contact details, without digging through the Simplesat dashboard. - Synchronize CRM data with Simplesat: Keep your customer and team member lists up to date by letting your agent push changes from your CRM or helpdesk directly into Simplesat. - Bulk onboarding and updates: Efficiently onboard new team members or migrate customer data in bulk by automating repetitive record creation or updates. ## Supported Tools | Tool slug | Name | Description | |---|---|---| | `SIMPLESAT_CREATE_OR_UPDATE_CUSTOMER2` | Create or Update Customer V2 | Tool to create a new customer or update an existing customer if one already exists with the same email. Use when you need to add or modify customer information including name, email, company, tags, external_id, and custom attributes. | | `SIMPLESAT_CREATE_OR_UPDATE_TEAM_MEMBER` | Create or Update Team Member | This tool creates a new team member or updates an existing one if a team member with the same email address is found. It is an independent action that requires only basic team member information (email, first_name, last_name, and optionally title and phone) and does not depend on any other resource IDs. | | `SIMPLESAT_GET_CUSTOMER` | Get Customer | Tool to retrieve a single customer by their Simplesat ID. Returns customer details including name, email, company, tags, and custom attributes. | | `SIMPLESAT_LIST_QUESTIONS` | List Questions | Tool to retrieve a paginated list of all questions in Simplesat. Use when you need to fetch question details including order, metric type, text, rating scale, choices, and conditional rules. Supports filtering by metric (csat, nps, ces) and survey_id. | | `SIMPLESAT_LIST_SURVEYS` | List Surveys | Tool to list all surveys in the Simplesat account. Returns survey details including id, name, and metric type (CSAT, NPS, CES). Use when you need to retrieve available surveys or find a specific survey by name or metric type. | | `SIMPLESAT_SEARCH_ANSWERS` | Search Answers | Tool to search and retrieve answers from Simplesat with advanced filtering. Use when you need to find specific answers based on filters like date range, choice value, sentiment, survey, customer, or custom attributes. If no filters are provided, returns all answers from the last 30 days by default. | | `SIMPLESAT_SEARCH_RESPONSES` | Search Responses | Tool to search and retrieve responses from Simplesat by applying specific filters. Returns all responses from the last 30 days by default if no date range is specified. Supports filtering by date range, choice value, collaborator, company, comment, customer, sentiment, metric, survey, tag, team member, ticket_id, and custom attributes. Use this when you need to find specific responses based on criteria like sentiment, customer, or time period. | | `SIMPLESAT_UPDATE_CUSTOMER` | Update Customer | Tool to update an existing customer by their Simplesat ID. Use when you need to modify customer information such as name, email, company, external ID, tags, or custom attributes. | ## Supported Triggers None listed. ## Creating MCP Server - Stand-alone vs Composio SDK The Simplesat MCP server is an implementation of the Model Context Protocol that connects your AI agents and assistants directly to Simplesat. Instead of manually wiring Simplesat 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 Simplesat 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 Simplesat 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 Simplesat 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 Simplesat 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 Simplesat session composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY")) session = composio.create( user_id=os.getenv("USER_ID"), toolkits=["simplesat"] ) 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 Simplesat 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 Simplesat assistant agent with MCP tools agent = AssistantAgent( name="simplesat_assistant", description="An AI assistant that helps with Simplesat 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 Simplesat 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 Simplesat 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 Simplesat session composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY")) session = composio.create( user_id=os.getenv("USER_ID"), toolkits=["simplesat"] ) 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 Simplesat assistant agent with MCP tools agent = AssistantAgent( name="simplesat_assistant", description="An AI assistant that helps with Simplesat 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 Simplesat 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 Simplesat 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 Simplesat, you can reuse the same structure for other MCP-enabled apps with minimal code changes. ## How to build Simplesat MCP Agent with another framework - [OpenAI Agents SDK](https://composio.dev/toolkits/simplesat/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/simplesat/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/simplesat/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/simplesat/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/simplesat/framework/codex) - [OpenClaw](https://composio.dev/toolkits/simplesat/framework/openclaw) - [Hermes](https://composio.dev/toolkits/simplesat/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/simplesat/framework/cli) - [Google ADK](https://composio.dev/toolkits/simplesat/framework/google-adk) - [LangChain](https://composio.dev/toolkits/simplesat/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/simplesat/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/simplesat/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/simplesat/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/simplesat/framework/crew-ai) ## Related Toolkits - [Aeroleads](https://composio.dev/toolkits/aeroleads) - Aeroleads is a B2B lead generation platform for finding business emails and phone numbers. Grow your sales pipeline faster with powerful prospecting tools. - [Autobound](https://composio.dev/toolkits/autobound) - Autobound is an AI-powered sales engagement platform that crafts hyper-personalized outreach and insights. It helps sales teams boost response rates and close more deals through tailored content and recommendations. - [Better proposals](https://composio.dev/toolkits/better_proposals) - Better Proposals is a web-based tool for crafting and sending professional proposals. It helps teams impress clients and close deals faster with slick, easy-to-use templates. - [Bidsketch](https://composio.dev/toolkits/bidsketch) - Bidsketch is a proposal software that helps businesses create professional proposals quickly and efficiently. It streamlines the proposal process, saving time while boosting client win rates. - [Bolna](https://composio.dev/toolkits/bolna) - Bolna is an AI platform for building conversational voice agents. It helps businesses automate support and streamline interactions through natural, voice-powered conversations. - [Botsonic](https://composio.dev/toolkits/botsonic) - Botsonic is a no-code AI chatbot builder for easily creating and deploying chatbots to your website. It empowers businesses to offer conversational experiences without writing code. - [Botstar](https://composio.dev/toolkits/botstar) - BotStar is a comprehensive chatbot platform for designing, developing, and training chatbots visually on Messenger and websites. It helps businesses automate conversations and customer interactions without coding. - [Callerapi](https://composio.dev/toolkits/callerapi) - CallerAPI is a white-label caller identification platform for branded caller ID and fraud prevention. It helps businesses boost customer trust while stopping spam, fraud, and robocalls. - [Callingly](https://composio.dev/toolkits/callingly) - Callingly is a lead response management platform that automates immediate call and text follow-ups with new leads. It helps sales teams boost response speed and close more deals by connecting seamlessly with CRMs and lead sources. - [Callpage](https://composio.dev/toolkits/callpage) - Callpage is a lead capture platform that lets businesses instantly connect with website visitors via callback. It boosts lead generation and increases your sales conversion rates. - [Clearout](https://composio.dev/toolkits/clearout) - Clearout is an AI-powered service for verifying, finding, and enriching email addresses. It boosts deliverability and helps you discover high-quality leads effortlessly. - [Clientary](https://composio.dev/toolkits/clientary) - Clientary is a platform for managing clients, invoices, projects, proposals, and more. It streamlines client work and saves you serious admin time. - [Convolo ai](https://composio.dev/toolkits/convolo_ai) - Convolo ai is an AI-powered communications platform for sales teams. It accelerates lead response and improves conversion rates by automating calls and integrating workflows. - [Delighted](https://composio.dev/toolkits/delighted) - Delighted is a customer feedback platform based on the Net Promoter System®. It helps you quickly gather, track, and act on customer sentiment. - [Emelia](https://composio.dev/toolkits/emelia) - Emelia is an all-in-one B2B prospecting platform for cold-email, LinkedIn outreach, and prospect research. It streamlines outbound campaigns so you can find, engage, and warm up leads faster. - [Findymail](https://composio.dev/toolkits/findymail) - Findymail is a B2B data provider offering verified email and phone contacts for sales prospecting. Enhance outreach with automated exports, email verification, and CRM enrichment. - [Freshdesk](https://composio.dev/toolkits/freshdesk) - Freshdesk is customer support software with ticketing and automation tools. It helps teams streamline helpdesk operations for faster, better customer support. - [Fullenrich](https://composio.dev/toolkits/fullenrich) - FullEnrich is a B2B contact enrichment platform that aggregates emails and phone numbers from 15+ data vendors. Instantly find and verify lead contact data to boost your outreach. - [Gatherup](https://composio.dev/toolkits/gatherup) - GatherUp is a customer feedback and online review management platform. It helps businesses boost their reputation by streamlining how they collect and manage customer feedback. - [Getprospect](https://composio.dev/toolkits/getprospect) - Getprospect is a business email discovery tool with LinkedIn integration. Use it to quickly find and verify professional email addresses. ## Frequently Asked Questions ### What are the differences in Tool Router MCP and Simplesat MCP? With a standalone Simplesat MCP server, the agents and LLMs can only access a fixed set of Simplesat tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Simplesat 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 Simplesat tools. ### Can I manage the permissions and scopes for Simplesat while using Tool Router? Yes, absolutely. You can configure which Simplesat 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 Simplesat data and credentials are handled as safely as possible. --- [See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)