# How to integrate Serply MCP with Autogen ```json { "title": "How to integrate Serply MCP with Autogen", "toolkit": "Serply", "toolkit_slug": "serply", "framework": "AutoGen", "framework_slug": "autogen", "url": "https://composio.dev/toolkits/serply/framework/autogen", "markdown_url": "https://composio.dev/toolkits/serply/framework/autogen.md", "updated_at": "2026-05-12T10:25:38.612Z" } ``` ## Introduction This guide walks you through connecting Serply to AutoGen using the Composio tool router. By the end, you'll have a working Serply agent that can find top news articles on ai today, get latest product prices for smartwatches, search for job listings in san francisco through natural language commands. This guide will help you understand how to give your AutoGen agent real control over a Serply account through Composio's Serply MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved. ## Also integrate Serply with - [OpenAI Agents SDK](https://composio.dev/toolkits/serply/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/serply/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/serply/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/serply/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/serply/framework/codex) - [OpenClaw](https://composio.dev/toolkits/serply/framework/openclaw) - [Hermes](https://composio.dev/toolkits/serply/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/serply/framework/cli) - [Google ADK](https://composio.dev/toolkits/serply/framework/google-adk) - [LangChain](https://composio.dev/toolkits/serply/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/serply/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/serply/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/serply/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/serply/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 Serply - Wire that MCP URL into Autogen using McpWorkbench and StreamableHttpServerParams - Configure an Autogen AssistantAgent that can call Serply tools - Run a live chat loop where you ask the agent to perform Serply 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 Serply MCP server, and what's possible with it? The Serply MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Serply account. It provides structured and secure access to search engine results—including web, news, video, and product searches—so your agent can perform actions like querying search engines, retrieving news headlines, finding videos, and exploring product listings on your behalf. - Web search automation: Let your agent run web queries and return structured search results for any keyword or topic. - Real-time news discovery: Fetch the latest news articles and headlines from major sources, filtered by topic or region. - Video content search: Find relevant videos across platforms using keyword-based queries and filter by date or relevance. - Product and job listing retrieval: Search for products or job postings to quickly gather marketplace or employment data. - Image and map search capabilities: Enable your agent to pull images or map results, perfect for visual or location-based queries. ## Supported Tools | Tool slug | Name | Description | |---|---|---| | `SERPLY_PERFORM_IMAGE_SEARCH` | Perform Image Search | Performs an image search using the Serply API to find images matching a text query. This tool searches for images on the web and returns results with image URLs, thumbnails, dimensions, titles, and source information. Ideal for finding visual content, gathering image references, or discovering images related to specific topics or keywords. Use this when you need to: - Find images matching specific descriptions or keywords - Gather visual references for a topic - Retrieve image URLs for display or download - Search for images with specific characteristics Supports pagination, localization (language/country), and safe search filtering. | | `SERPLY_PERFORM_MAPS_SEARCH` | Perform Maps Search | Tool to perform a maps search. Use when you need to find geographic locations for a given query. | | `SERPLY_PERFORM_SCHOLAR_SEARCH` | Perform Scholar Search | Tool to perform an academic scholar search via Serply. Use when you need scholarly literature search results for a specific query. | ## Supported Triggers None listed. ## Creating MCP Server - Stand-alone vs Composio SDK The Serply MCP server is an implementation of the Model Context Protocol that connects your AI agents and assistants directly to Serply. Instead of manually wiring Serply 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 Serply 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 Serply 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 Serply 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 Serply 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 Serply session composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY")) session = composio.create( user_id=os.getenv("USER_ID"), toolkits=["serply"] ) 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 Serply 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 Serply assistant agent with MCP tools agent = AssistantAgent( name="serply_assistant", description="An AI assistant that helps with Serply 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 Serply 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 Serply 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 Serply session composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY")) session = composio.create( user_id=os.getenv("USER_ID"), toolkits=["serply"] ) 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 Serply assistant agent with MCP tools agent = AssistantAgent( name="serply_assistant", description="An AI assistant that helps with Serply 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 Serply 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 Serply 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 Serply, you can reuse the same structure for other MCP-enabled apps with minimal code changes. ## How to build Serply MCP Agent with another framework - [OpenAI Agents SDK](https://composio.dev/toolkits/serply/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/serply/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/serply/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/serply/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/serply/framework/codex) - [OpenClaw](https://composio.dev/toolkits/serply/framework/openclaw) - [Hermes](https://composio.dev/toolkits/serply/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/serply/framework/cli) - [Google ADK](https://composio.dev/toolkits/serply/framework/google-adk) - [LangChain](https://composio.dev/toolkits/serply/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/serply/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/serply/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/serply/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/serply/framework/crew-ai) ## Related Toolkits - [Excel](https://composio.dev/toolkits/excel) - Microsoft Excel is a robust spreadsheet application for organizing, analyzing, and visualizing data. 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Get unified, reliable access to complex on-chain data for analytics, trading, and research. - [Brightdata](https://composio.dev/toolkits/brightdata) - Brightdata is a leading web data platform offering advanced scraping, SERP APIs, and anti-bot tools. It lets you collect public web data at scale, bypassing blocks and friction. - [Builtwith](https://composio.dev/toolkits/builtwith) - BuiltWith is a web technology profiler that uncovers the technologies powering any website. Gain actionable insights into analytics, hosting, and content management stacks for smarter research and lead generation. - [Byteforms](https://composio.dev/toolkits/byteforms) - Byteforms is an all-in-one platform for creating forms, managing submissions, and integrating data. It streamlines workflows by centralizing form data collection and automation. - [Cabinpanda](https://composio.dev/toolkits/cabinpanda) - Cabinpanda is a data collection platform for building and managing online forms. It helps streamline how you gather, organize, and analyze responses. ## Frequently Asked Questions ### What are the differences in Tool Router MCP and Serply MCP? With a standalone Serply MCP server, the agents and LLMs can only access a fixed set of Serply tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Serply 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 Serply tools. ### Can I manage the permissions and scopes for Serply while using Tool Router? Yes, absolutely. You can configure which Serply 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 Serply data and credentials are handled as safely as possible. --- [See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)