# How to integrate Leexi MCP with Autogen ```json { "title": "How to integrate Leexi MCP with Autogen", "toolkit": "Leexi", "toolkit_slug": "leexi", "framework": "AutoGen", "framework_slug": "autogen", "url": "https://composio.dev/toolkits/leexi/framework/autogen", "markdown_url": "https://composio.dev/toolkits/leexi/framework/autogen.md", "updated_at": "2026-03-29T06:40:13.391Z" } ``` ## Introduction This guide walks you through connecting Leexi to AutoGen using the Composio tool router. By the end, you'll have a working Leexi agent that can transcribe and summarize today's team meeting, list action items from last week's calls, find meetings where deadlines were discussed through natural language commands. This guide will help you understand how to give your AutoGen agent real control over a Leexi account through Composio's Leexi MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved. ## Also integrate Leexi with - [OpenAI Agents SDK](https://composio.dev/toolkits/leexi/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/leexi/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/leexi/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/leexi/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/leexi/framework/codex) - [OpenClaw](https://composio.dev/toolkits/leexi/framework/openclaw) - [Hermes](https://composio.dev/toolkits/leexi/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/leexi/framework/cli) - [Google ADK](https://composio.dev/toolkits/leexi/framework/google-adk) - [LangChain](https://composio.dev/toolkits/leexi/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/leexi/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/leexi/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/leexi/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/leexi/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 Leexi - Wire that MCP URL into Autogen using McpWorkbench and StreamableHttpServerParams - Configure an Autogen AssistantAgent that can call Leexi tools - Run a live chat loop where you ask the agent to perform Leexi 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 Leexi MCP server, and what's possible with it? The Leexi MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Leexi account. It provides structured and secure access so your agent can perform Leexi operations on your behalf. ## Supported Tools | Tool slug | Name | Description | |---|---|---| | `LEEXI_CREATE_MEETING_EVENT` | Create Meeting Event | Tool to create a new meeting event in Leexi with timing, participants, and recording preferences. Use when scheduling a meeting that needs to be tracked and potentially recorded in the Leexi system. | | `LEEXI_DELETE_MEETING_EVENT` | Delete Meeting Event | Tool to delete a specific meeting event by UUID. Use when you need to permanently remove a meeting event record from the Leexi system. This is a destructive operation that cannot be undone. | | `LEEXI_GET_CALL` | Get Call | Tool to get details of a specific call or meeting by UUID from Leexi. Use when you need to retrieve call details including topics and transcripts. The simple_transcript provides paragraph-level timestamps, while the transcript includes word-level timestamps. | | `LEEXI_GET_MEETING_EVENT` | Get Meeting Event | Tool to retrieve a specific meeting event by UUID from Leexi. Use when you need to fetch details of a particular meeting event including timing, participants, and recording preferences. | | `LEEXI_LIST_CALLS` | List Calls | Tool to list all calls and meetings in your Leexi workspace with pagination support. Use when you need to retrieve call records. Note: AI-generated content like summaries and chapters may not be immediately available for newly created calls. | | `LEEXI_LIST_MEETING_EVENTS` | List Meeting Events | Tool to list all meeting events in your Leexi workspace with pagination support. Use when you need to retrieve meeting events from the workspace. | | `LEEXI_LIST_TEAMS` | List Teams | Tool to list all teams in your Leexi workspace with pagination support. Use when you need to retrieve team information or iterate through all teams in the organization. | | `LEEXI_LIST_USERS` | List Users | Tool to list all users in your Leexi workspace. Use when you need to retrieve information about workspace members. Supports pagination with configurable page size (1-100 items per page, default 10). | | `LEEXI_REQUEST_PRESIGNED_URL` | Request Presigned URL | Tool to request a presigned URL for uploading a call recording before creating the call. Use when you need to upload a call recording file. After receiving the presigned URL, send a PUT request to the returned URL with the provided headers to upload the file (single-part upload). The uploaded file automatically expires after 3 days unless used to create a call. | ## Supported Triggers None listed. ## Creating MCP Server - Stand-alone vs Composio SDK The Leexi MCP server is an implementation of the Model Context Protocol that connects your AI agents and assistants directly to Leexi. Instead of manually wiring Leexi 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 Leexi 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 Leexi 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 Leexi 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 Leexi 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 Leexi session composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY")) session = composio.create( user_id=os.getenv("USER_ID"), toolkits=["leexi"] ) 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 Leexi 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 Leexi assistant agent with MCP tools agent = AssistantAgent( name="leexi_assistant", description="An AI assistant that helps with Leexi 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 Leexi 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 Leexi 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 Leexi session composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY")) session = composio.create( user_id=os.getenv("USER_ID"), toolkits=["leexi"] ) 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 Leexi assistant agent with MCP tools agent = AssistantAgent( name="leexi_assistant", description="An AI assistant that helps with Leexi 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 Leexi 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 Leexi 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 Leexi, you can reuse the same structure for other MCP-enabled apps with minimal code changes. ## How to build Leexi MCP Agent with another framework - [OpenAI Agents SDK](https://composio.dev/toolkits/leexi/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/leexi/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/leexi/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/leexi/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/leexi/framework/codex) - [OpenClaw](https://composio.dev/toolkits/leexi/framework/openclaw) - [Hermes](https://composio.dev/toolkits/leexi/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/leexi/framework/cli) - [Google ADK](https://composio.dev/toolkits/leexi/framework/google-adk) - [LangChain](https://composio.dev/toolkits/leexi/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/leexi/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/leexi/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/leexi/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/leexi/framework/crew-ai) ## Related Toolkits - [Gmail](https://composio.dev/toolkits/gmail) - Gmail is Google's email service with powerful spam protection, search, and G Suite integration. It keeps your inbox organized and makes communication fast and reliable. - [Outlook](https://composio.dev/toolkits/outlook) - Outlook is Microsoft's email and calendaring platform for unified communications and scheduling. It helps users stay organized with powerful email, contacts, and calendar management. - [Google Sheets](https://composio.dev/toolkits/googlesheets) - Google Sheets is a cloud-based spreadsheet tool for real-time collaboration and data analysis. It lets teams work together from anywhere, updating information instantly. - [Composio](https://composio.dev/toolkits/composio) - Composio is an integration platform that connects AI agents with hundreds of business tools. It streamlines authentication and lets you trigger actions across services—no custom code needed. - [Notion](https://composio.dev/toolkits/notion) - Notion is a collaborative workspace for notes, docs, wikis, and tasks. It streamlines team knowledge, project tracking, and workflow customization in one place. - [Slack](https://composio.dev/toolkits/slack) - Slack is a channel-based messaging platform for teams and organizations. It helps people collaborate in real time, share files, and connect all their tools in one place. - [Airtable](https://composio.dev/toolkits/airtable) - Airtable combines the flexibility of spreadsheets with the power of a database for easy project and data management. Teams use Airtable to organize, track, and collaborate with custom views and automations. - [Gong](https://composio.dev/toolkits/gong) - Gong is a platform for video meetings, call recording, and team collaboration. It helps teams capture conversations, analyze calls, and turn insights into action. - [Asana](https://composio.dev/toolkits/asana) - Asana is a collaborative work management platform for teams to organize and track projects. It streamlines teamwork, boosts productivity, and keeps everyone aligned on goals. - [Google Tasks](https://composio.dev/toolkits/googletasks) - Google Tasks is a to-do list and task management tool integrated into Gmail and Google Calendar. It helps you organize, track, and complete tasks across your Google ecosystem. - [Linear](https://composio.dev/toolkits/linear) - Linear is a modern issue tracking and project planning tool for fast-moving teams. It helps streamline workflows, organize projects, and boost productivity. - [Microsoft teams](https://composio.dev/toolkits/microsoft_teams) - Microsoft Teams is a collaboration platform that combines chat, meetings, and file sharing within Microsoft 365. It keeps distributed teams connected and productive through seamless virtual communication. - [Composio search](https://composio.dev/toolkits/composio_search) - Composio search is a unified web search toolkit spanning travel, e-commerce, news, financial markets, images, and more. It lets you and your apps tap into up-to-date web data from a single, easy-to-integrate service. - [Jira](https://composio.dev/toolkits/jira) - Jira is Atlassian’s platform for bug tracking, issue tracking, and agile project management. It helps teams organize work, prioritize tasks, and deliver projects efficiently. - [Clickup](https://composio.dev/toolkits/clickup) - ClickUp is an all-in-one productivity platform for managing tasks, docs, goals, and team collaboration. It streamlines project workflows so teams can work smarter and stay organized in one place. - [Slackbot](https://composio.dev/toolkits/slackbot) - Slackbot is a conversational automation tool for Slack that handles reminders, notifications, and automated responses. It boosts team productivity by streamlining onboarding, answering FAQs, and managing timely alerts—all right inside Slack. - [Monday](https://composio.dev/toolkits/monday) - Monday.com is a customizable work management platform for project planning and collaboration. It helps teams organize tasks, automate workflows, and track progress in real time. - [Perplexityai](https://composio.dev/toolkits/perplexityai) - Perplexityai delivers natural, conversational AI models for generating human-like text. Instantly get context-aware, high-quality responses for chat, search, or complex workflows. - [Browser tool](https://composio.dev/toolkits/browser_tool) - Browser tool is a virtual browser integration that lets AI agents interact with the web programmatically. It enables automated browsing, scraping, and action-taking from any AI workflow. - [2chat](https://composio.dev/toolkits/_2chat) - 2chat is an API platform for WhatsApp and multichannel text messaging. It streamlines chat automation, group management, and real-time messaging for developers. ## Frequently Asked Questions ### What are the differences in Tool Router MCP and Leexi MCP? With a standalone Leexi MCP server, the agents and LLMs can only access a fixed set of Leexi tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Leexi 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 Leexi tools. ### Can I manage the permissions and scopes for Leexi while using Tool Router? Yes, absolutely. You can configure which Leexi 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 Leexi data and credentials are handled as safely as possible. --- [See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)