# How to integrate Gatherup MCP with Autogen ```json { "title": "How to integrate Gatherup MCP with Autogen", "toolkit": "Gatherup", "toolkit_slug": "gatherup", "framework": "AutoGen", "framework_slug": "autogen", "url": "https://composio.dev/toolkits/gatherup/framework/autogen", "markdown_url": "https://composio.dev/toolkits/gatherup/framework/autogen.md", "updated_at": "2026-05-12T10:12:35.596Z" } ``` ## Introduction This guide walks you through connecting Gatherup to AutoGen using the Composio tool router. By the end, you'll have a working Gatherup agent that can send feedback request to recent customer, retrieve details for a specific business, search for business using custom field through natural language commands. This guide will help you understand how to give your AutoGen agent real control over a Gatherup account through Composio's Gatherup MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved. ## Also integrate Gatherup with - [OpenAI Agents SDK](https://composio.dev/toolkits/gatherup/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/gatherup/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/gatherup/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/gatherup/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/gatherup/framework/codex) - [OpenClaw](https://composio.dev/toolkits/gatherup/framework/openclaw) - [Hermes](https://composio.dev/toolkits/gatherup/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/gatherup/framework/cli) - [Google ADK](https://composio.dev/toolkits/gatherup/framework/google-adk) - [LangChain](https://composio.dev/toolkits/gatherup/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/gatherup/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/gatherup/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/gatherup/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/gatherup/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 Gatherup - Wire that MCP URL into Autogen using McpWorkbench and StreamableHttpServerParams - Configure an Autogen AssistantAgent that can call Gatherup tools - Run a live chat loop where you ask the agent to perform Gatherup 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 Gatherup MCP server, and what's possible with it? The Gatherup MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Gatherup account. It provides structured and secure access to your customer feedback and business review data, so your agent can perform actions like fetching customer and business details, sending feedback requests, searching businesses, and managing business profiles on your behalf. - Send automated feedback requests: Have your agent send personalized feedback invitations to customers right after an interaction, streamlining your review gathering process. - Retrieve business and customer details: Instantly pull up specific business locations or customer profiles using IDs for quick reference and reporting. - Search business locations efficiently: Let your agent find businesses by custom fields or extra attributes, making it easy to manage multiple locations or franchises. - Manage business records securely: Direct your agent to delete business locations or update details after validating credentials and signatures. - Access and filter business types: Enable your agent to fetch available business type identifiers for accurate categorization and reporting. ## Supported Tools | Tool slug | Name | Description | |---|---|---| | `GATHERUP_DELETE_BUSINESS` | Delete GatherUp Business | Permanently deletes a business location from GatherUp. This is a destructive operation that cannot be undone. **When to use**: Remove business locations that are no longer needed or were created in error. **Important**: Verify the businessId before deletion. Check errorCode in response: 0=success, non-zero=error. | | `GATHERUP_FIND_AGENCY_CLIENT_ID` | Find GatherUp Agency Client ID | Find the client ID for a specific business in GatherUp agency accounts. This tool retrieves the numeric client identifier associated with a business location. Use this when you need to look up the client ID for agency-level operations or business management. | | `GATHERUP_GET_BUSINESS` | Get GatherUp Business | Retrieve detailed information about a specific GatherUp business location. Returns comprehensive business data including: name, contact details (phone, address), timezone, business type, subscription package, communication settings, engagement metrics (NPS score, feedback counts), and marketing assets (logos, banners, feedback URLs). Prerequisites: - Use GATHERUP_SEARCH_BUSINESS if you need to find a businessId by customField/extraField | | `GATHERUP_GET_BUSINESS_TYPES` | Get GatherUp Business Types | Retrieves the list of available business categories from GatherUp (e.g., Restaurant, Hotel, Dental Office). Use this to: - Get valid business type IDs for creating new businesses - Discover available business categories in GatherUp - Filter business types by search term (optional) | | `GATHERUP_GET_CUSTOMER` | Get GatherUp Customer | Retrieves detailed information about a specific customer from GatherUp by their customer ID. Use this action to get customer details including name, email, phone, rating, feedback status, and other customer-related information. Common use cases: - Retrieve customer contact information before sending feedback requests - Check customer's current rating and feedback status - Verify customer subscription status (unsubscribed flag) - Get customer creation date and associated business details Error codes: 0=success, 2=invalid clientId, 3=server error, 44=customer not found Endpoint: POST https://app.gatherup.com/api/customer/get | | `GATHERUP_GET_WIDGET_HTML` | Get Widget HTML | Retrieve pre-formatted widget or badge HTML code with schema.org structure and SEO-friendly content. Returns ready-to-embed HTML code that displays customer reviews or badges on your website. The HTML includes structured data markup for better search engine visibility. Prerequisites: - Use GATHERUP_SEARCH_BUSINESS if you need to find a businessId | | `GATHERUP_SEARCH_BUSINESS` | Search GatherUp Business by Custom Identifier | Search for a GatherUp business location by custom identifier and retrieve its business ID. This tool locates business locations using user-defined identifiers (customField or extraField) that you've assigned in GatherUp. Returns the businessId on success (errorCode=0), or an error code with message on failure. Common error codes: 2=Invalid clientId, 25=Business not found, 26=Invalid search type Endpoint: POST /api/business/search | | `GATHERUP_SEND_CUSTOMER_FEEDBACK` | Send GatherUp Customer Feedback | Send a feedback request to a customer to collect their rating and review. Use this when you want to automatically request feedback after a customer interaction or transaction. Ensure the customer exists in your GatherUp account and hasn't unsubscribed from feedback requests. | | `GATHERUP_SET_USER_PASSWORD` | Set GatherUp User Password | Sets a new password for an existing user in GatherUp. Use this action to update user credentials securely. **Prerequisites**: - Valid userId (user must exist in your GatherUp account) - Password must meet security requirements: minimum 12 characters, at least one uppercase letter and one number **When to use**: Update user passwords for security purposes or user account management. Check errorCode in response: 0=success, non-zero=error. See errorMessage for details. | ## Supported Triggers None listed. ## Creating MCP Server - Stand-alone vs Composio SDK The Gatherup MCP server is an implementation of the Model Context Protocol that connects your AI agents and assistants directly to Gatherup. Instead of manually wiring Gatherup 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 Gatherup 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 Gatherup 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 Gatherup 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 Gatherup 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 Gatherup session composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY")) session = composio.create( user_id=os.getenv("USER_ID"), toolkits=["gatherup"] ) 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 Gatherup 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 Gatherup assistant agent with MCP tools agent = AssistantAgent( name="gatherup_assistant", description="An AI assistant that helps with Gatherup 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 Gatherup 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 Gatherup 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 Gatherup session composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY")) session = composio.create( user_id=os.getenv("USER_ID"), toolkits=["gatherup"] ) 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 Gatherup assistant agent with MCP tools agent = AssistantAgent( name="gatherup_assistant", description="An AI assistant that helps with Gatherup 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 Gatherup 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 Gatherup 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 Gatherup, you can reuse the same structure for other MCP-enabled apps with minimal code changes. ## How to build Gatherup MCP Agent with another framework - [OpenAI Agents SDK](https://composio.dev/toolkits/gatherup/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/gatherup/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/gatherup/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/gatherup/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/gatherup/framework/codex) - [OpenClaw](https://composio.dev/toolkits/gatherup/framework/openclaw) - [Hermes](https://composio.dev/toolkits/gatherup/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/gatherup/framework/cli) - [Google ADK](https://composio.dev/toolkits/gatherup/framework/google-adk) - [LangChain](https://composio.dev/toolkits/gatherup/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/gatherup/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/gatherup/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/gatherup/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/gatherup/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. - [Docsbot ai](https://composio.dev/toolkits/docsbot_ai) - Docsbot ai is a platform that lets you build custom AI chatbots trained on your documentation. It automates customer support and content generation, saving time and improving response quality. - [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. - [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 Gatherup MCP? With a standalone Gatherup MCP server, the agents and LLMs can only access a fixed set of Gatherup tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Gatherup 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 Gatherup tools. ### Can I manage the permissions and scopes for Gatherup while using Tool Router? Yes, absolutely. You can configure which Gatherup 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 Gatherup data and credentials are handled as safely as possible. --- [See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)