# How to integrate Conveyor MCP with Autogen ```json { "title": "How to integrate Conveyor MCP with Autogen", "toolkit": "Conveyor", "toolkit_slug": "conveyor", "framework": "AutoGen", "framework_slug": "autogen", "url": "https://composio.dev/toolkits/conveyor/framework/autogen", "markdown_url": "https://composio.dev/toolkits/conveyor/framework/autogen.md", "updated_at": "2026-05-06T08:07:22.514Z" } ``` ## Introduction This guide walks you through connecting Conveyor to AutoGen using the Composio tool router. By the end, you'll have a working Conveyor agent that can list all pending authorization requests, fetch all documents in your trust center, delete a folder by its id through natural language commands. This guide will help you understand how to give your AutoGen agent real control over a Conveyor account through Composio's Conveyor MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved. ## Also integrate Conveyor with - [OpenAI Agents SDK](https://composio.dev/toolkits/conveyor/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/conveyor/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/conveyor/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/conveyor/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/conveyor/framework/codex) - [OpenClaw](https://composio.dev/toolkits/conveyor/framework/openclaw) - [Hermes](https://composio.dev/toolkits/conveyor/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/conveyor/framework/cli) - [Google ADK](https://composio.dev/toolkits/conveyor/framework/google-adk) - [LangChain](https://composio.dev/toolkits/conveyor/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/conveyor/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/conveyor/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/conveyor/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/conveyor/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 Conveyor - Wire that MCP URL into Autogen using McpWorkbench and StreamableHttpServerParams - Configure an Autogen AssistantAgent that can call Conveyor tools - Run a live chat loop where you ask the agent to perform Conveyor 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 Conveyor MCP server, and what's possible with it? The Conveyor MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Conveyor account. It provides structured and secure access to your security reviews and compliance workflows, so your agent can perform actions like retrieving documents, managing authorization requests, tracking connections, and automating security questionnaire processes on your behalf. - Authorization request management: Fetch, list, and review details of all authorization requests, making it easy for your agent to help you track and respond to security and compliance requests in real time. - Document and folder automation: Retrieve, organize, or delete specific documents and folders, ensuring your Trust Center stays tidy and up to date without manual effort. - Connection insights and tracking: Access a complete list of your Conveyor connections, letting your agent monitor integrations and stay on top of your security ecosystem. - Interaction history by document: Instantly pull all interactions related to a specific document, so your agent can summarize or audit user activity for compliance needs. - API token validation and guidance: Use AI-driven guidance to validate API tokens and get structured support for access issues, helping keep your Conveyor integration secure and running smoothly. ## Supported Tools | Tool slug | Name | Description | |---|---|---| | `CONVEYOR_DELETE_DOCUMENT` | Delete a Conveyor document | Tool to delete a specific document. Use when you need to remove a document by its ID. | | `CONVEYOR_DELETE_FOLDER` | Delete folder | Tool to delete a folder by its ID. Use when you need to remove a specific folder after confirming its ID. | | `CONVEYOR_GENERATE_API_TOKEN` | Generate/Validate API Token Guidance | Tool to validate API token and provide guidance. Conveyor does not support API-based token creation; tokens must be created in the Conveyor UI. This action performs a real API call (using the provided metadata) to validate the existing API token and returns structured guidance. | | `CONVEYOR_GET_AUTHORIZATION_REQUEST` | Get Authorization Request | Tool to fetch details of a specific authorization request. Use when you need to retrieve metadata by authorization_request_id. | | `CONVEYOR_GET_AUTHORIZATION_REQUESTS` | Get Authorization Requests | Tool to fetch authorization requests. Use when you need to list authorization requests, optionally filtered by status. | | `CONVEYOR_GET_AUTHORIZATIONS` | Get all authorization requests | Tool to retrieve all authorization requests. Use when you need to list all authorizations; optionally filter by status. Use after authenticating with a valid API token. | | `CONVEYOR_GET_CONNECTIONS` | Get all Conveyor connections | Tool to retrieve all connections. Use when you need to fetch the complete list of your Conveyor connections. Use after authenticating with a valid API key. | | `CONVEYOR_GET_DOCUMENTS` | Get all Conveyor documents | Tool to retrieve all documents. Use after authenticating with a valid API key. | | `CONVEYOR_GET_FOLDERS` | Get all Conveyor folders | Tool to retrieve all folders. Use after authenticating with a valid API key to fetch the complete list of your Conveyor folders. | | `CONVEYOR_GET_INTERACTIONS_BY_DOCUMENT_ID` | Get interactions by document ID | Tool to fetch interactions associated with a specific document. Use when you need to list all interactions for a given document after validating its existence. | | `CONVEYOR_GET_KNOWLEDGE_BASE_QUESTIONS` | Get Knowledge Base Questions | Tool to retrieve knowledge base questions. Use when you need to fetch all questions from the Conveyor knowledge base. | | `CONVEYOR_GET_PRODUCT_LINES` | Get product lines | Tool to fetch all product lines. Use when you need to retrieve product lines after confirming API key validity. | | `CONVEYOR_PATCH_AUTHORIZATION` | Patch authorization | Tool to update or revoke an existing authorization. Use when managing authorization access groups or revoking access. | | `CONVEYOR_PATCH_DOCUMENT` | Patch Conveyor document | Tool to update document attributes. Use when you need to modify fields of an existing document by its ID. | | `CONVEYOR_POST_AUTHORIZATION` | Create new authorization | Tool to create a new authorization. Use when you need to grant access by email or from a prior authorization request. | | `CONVEYOR_POST_DOCUMENT` | Upload new document | Tool to upload a new document. Use when you have a local file (<=100MB) to send to Conveyor. | | `CONVEYOR_POST_FOLDER` | Create new folder | Tool to create a new folder in Conveyor Exchange. Use when you need to organize items into folders programmatically after obtaining an API key. | | `CONVEYOR_POST_SINGLE_QUESTION` | Submit single question | Tool to submit a single question. Use when you need an immediate AI-generated answer for a specific product line question. | ## Supported Triggers None listed. ## Creating MCP Server - Stand-alone vs Composio SDK The Conveyor MCP server is an implementation of the Model Context Protocol that connects your AI agents and assistants directly to Conveyor. Instead of manually wiring Conveyor 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 Conveyor 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 Conveyor 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 Conveyor 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 Conveyor 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 Conveyor session composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY")) session = composio.create( user_id=os.getenv("USER_ID"), toolkits=["conveyor"] ) 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 Conveyor 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 Conveyor assistant agent with MCP tools agent = AssistantAgent( name="conveyor_assistant", description="An AI assistant that helps with Conveyor 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 Conveyor 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 Conveyor 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 Conveyor session composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY")) session = composio.create( user_id=os.getenv("USER_ID"), toolkits=["conveyor"] ) 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 Conveyor assistant agent with MCP tools agent = AssistantAgent( name="conveyor_assistant", description="An AI assistant that helps with Conveyor 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 Conveyor 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 Conveyor 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 Conveyor, you can reuse the same structure for other MCP-enabled apps with minimal code changes. ## How to build Conveyor MCP Agent with another framework - [OpenAI Agents SDK](https://composio.dev/toolkits/conveyor/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/conveyor/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/conveyor/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/conveyor/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/conveyor/framework/codex) - [OpenClaw](https://composio.dev/toolkits/conveyor/framework/openclaw) - [Hermes](https://composio.dev/toolkits/conveyor/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/conveyor/framework/cli) - [Google ADK](https://composio.dev/toolkits/conveyor/framework/google-adk) - [LangChain](https://composio.dev/toolkits/conveyor/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/conveyor/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/conveyor/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/conveyor/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/conveyor/framework/crew-ai) ## Related Toolkits - [Apilio](https://composio.dev/toolkits/apilio) - Apilio is a home automation platform that lets you connect and control smart devices from different brands. It helps you build flexible automations with complex conditions, schedules, and integrations. - [Basin](https://composio.dev/toolkits/basin) - Basin is a no-code form backend for quickly setting up reliable contact forms. It lets you collect and manage form submissions without writing any server-side code. - [Bouncer](https://composio.dev/toolkits/bouncer) - Bouncer is an email validation platform that verifies the authenticity of email addresses in real-time and batch. It helps boost deliverability and reduce bounce rates for your communications. - [Crowdin](https://composio.dev/toolkits/crowdin) - Crowdin is a localization management platform that streamlines translation workflows and collaboration. It helps teams centralize multilingual content, boost productivity, and automate translation processes. - [Databox](https://composio.dev/toolkits/databox) - Databox is a business analytics platform that connects your data from any tool and device. It helps you track KPIs, build dashboards, and discover actionable insights. - [Detrack](https://composio.dev/toolkits/detrack) - Detrack is a delivery management platform for real-time tracking and proof of delivery. It helps businesses automate notifications and keep customers updated every step of the way. - [Dnsfilter](https://composio.dev/toolkits/dnsfilter) - Dnsfilter is a cloud-based DNS security and content filtering solution. It helps organizations block online threats and manage safe internet access with ease. - [Faraday](https://composio.dev/toolkits/faraday) - Faraday lets you embed AI in workflows across your stack for smarter automation. It boosts your favorite tools with actionable intelligence and seamless integration. - [Feathery](https://composio.dev/toolkits/feathery) - Feathery is an AI-powered platform for building dynamic data intake forms with advanced logic. It helps teams automate complex workflows and collect structured data with ease. - [Fillout forms](https://composio.dev/toolkits/fillout_forms) - Fillout forms is an online platform for building and managing forms with a flexible API. It lets you create, distribute, and collect responses from forms with ease. - [Formdesk](https://composio.dev/toolkits/formdesk) - Formdesk is an online form builder for creating and managing professional forms. It's perfect for collecting data, automating workflows, and integrating form submissions with your favorite services. - [Formsite](https://composio.dev/toolkits/formsite) - Formsite lets you build online forms and surveys with drag-and-drop simplicity. Capture, manage, and integrate form responses securely for streamlined workflows. - [Graphhopper](https://composio.dev/toolkits/graphhopper) - GraphHopper is an enterprise-grade Directions API for routing, optimization, and geocoding across multiple vehicle types. It enables fast, reliable route planning and logistics automation for businesses. - [Hyperbrowser](https://composio.dev/toolkits/hyperbrowser) - Hyperbrowser is a next-generation platform for scalable browser automation. It empowers AI agents to interact with web apps, automate workflows, and handle browser sessions at scale. - [La Growth Machine](https://composio.dev/toolkits/lagrowthmachine) - La Growth Machine automates multi-channel sales outreach and routine tasks for sales teams. Streamline your workflow and focus on closing more deals. - [Leverly](https://composio.dev/toolkits/leverly) - Leverly is a workflow automation platform that connects and coordinates actions across your apps. It streamlines repetitive processes so your business runs smoother, faster, and with fewer manual steps. - [Maintainx](https://composio.dev/toolkits/maintainx) - Maintainx is a cloud-based CMMS for centralizing maintenance data, communication, and workflows. It helps organizations streamline maintenance operations and improve team coordination. - [Make](https://composio.dev/toolkits/make) - Make is an automation platform that connects your favorite apps and services. Build powerful, custom workflows without writing code. - [Ntfy](https://composio.dev/toolkits/ntfy) - Ntfy is a notification service to send push messages to phones or desktops. Instantly deliver alerts and updates to users, devices, or teams. - [Persona](https://composio.dev/toolkits/persona) - Persona offers identity infrastructure to automate user verification and compliance. It helps organizations securely verify users and reduce fraud risk. ## Frequently Asked Questions ### What are the differences in Tool Router MCP and Conveyor MCP? With a standalone Conveyor MCP server, the agents and LLMs can only access a fixed set of Conveyor tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Conveyor 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 Conveyor tools. ### Can I manage the permissions and scopes for Conveyor while using Tool Router? Yes, absolutely. You can configure which Conveyor 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 Conveyor data and credentials are handled as safely as possible. --- [See all toolkits](https://composio.dev/toolkits) ยท [Composio docs](https://docs.composio.dev/llms.txt)