# How to integrate More trees MCP with Autogen ```json { "title": "How to integrate More trees MCP with Autogen", "toolkit": "More trees", "toolkit_slug": "more_trees", "framework": "AutoGen", "framework_slug": "autogen", "url": "https://composio.dev/toolkits/more_trees/framework/autogen", "markdown_url": "https://composio.dev/toolkits/more_trees/framework/autogen.md", "updated_at": "2026-05-12T10:19:31.452Z" } ``` ## Introduction This guide walks you through connecting More trees to AutoGen using the Composio tool router. By the end, you'll have a working More trees agent that can show your total carbon offset to date, how many trees have i planted so far?, list number of trees i’ve gifted through natural language commands. This guide will help you understand how to give your AutoGen agent real control over a More trees account through Composio's More trees MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved. ## Also integrate More trees with - [OpenAI Agents SDK](https://composio.dev/toolkits/more_trees/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/more_trees/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/more_trees/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/more_trees/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/more_trees/framework/codex) - [OpenClaw](https://composio.dev/toolkits/more_trees/framework/openclaw) - [Hermes](https://composio.dev/toolkits/more_trees/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/more_trees/framework/cli) - [Google ADK](https://composio.dev/toolkits/more_trees/framework/google-adk) - [LangChain](https://composio.dev/toolkits/more_trees/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/more_trees/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/more_trees/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/more_trees/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/more_trees/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 More trees - Wire that MCP URL into Autogen using McpWorkbench and StreamableHttpServerParams - Configure an Autogen AssistantAgent that can call More trees tools - Run a live chat loop where you ask the agent to perform More trees 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 More trees MCP server, and what's possible with it? The More trees MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your More trees account. It provides structured and secure access to your reforestation and carbon offset data, so your agent can retrieve carbon offset metrics, track trees planted, and summarize your environmental impact on your behalf. - Real-time carbon offset tracking: Instantly retrieve up-to-date information about your total CO₂ offset through tree planting. - Comprehensive forest summary: Let your agent pull detailed stats on the number of trees you've planted, gifted, and received. - Environmental impact analysis: Get an overview of how your contributions are supporting reforestation and carbon reduction goals. - Automated reporting: Have your agent generate summaries and reports of your sustainability efforts for sharing or record-keeping. ## Supported Tools | Tool slug | Name | Description | |---|---|---| | `MORE_TREES_CREATE_USER` | Create User | Creates a new user that can be assigned to a plantation account. Use this when you need to onboard a new user to the More Trees platform. The user must agree to terms and conditions (is_agreed=true). Returns the created user details including a unique user ID. | | `MORE_TREES_GET_MARKETING_PREFERENCES` | Get Marketing Preferences | Tool to retrieve available marketing preferences. Use when you need to get the list of marketing preference options that users can select. | | `MORE_TREES_GET_TOTAL_CARBON_OFFSET` | Get Total Carbon Offset | Retrieves the total carbon offset and forest statistics for a specified forest. Returns comprehensive data about a forest including: - Forest branding (name, logo, color) - Total CO2 captured - Number of trees planted, gifted, and received - Number of tree planting projects supported The forest_slug_or_account_code parameter is required and can be found in the More Trees platform at Settings > Account Settings. | | `MORE_TREES_LIST_PROJECTS` | List Projects | Retrieves all active tree planting projects with comprehensive details. Returns project information including name, ID, description, country, project type, supplier name, and available tree species for each project. Use this action to discover available projects and their tree planting options. | ## Supported Triggers None listed. ## Creating MCP Server - Stand-alone vs Composio SDK The More trees MCP server is an implementation of the Model Context Protocol that connects your AI agents and assistants directly to More trees. Instead of manually wiring More trees 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 More trees 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 More trees 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 More trees 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 More trees 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 More trees session composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY")) session = composio.create( user_id=os.getenv("USER_ID"), toolkits=["more_trees"] ) 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 More trees 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 More trees assistant agent with MCP tools agent = AssistantAgent( name="more_trees_assistant", description="An AI assistant that helps with More trees 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 More trees 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 More trees 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 More trees session composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY")) session = composio.create( user_id=os.getenv("USER_ID"), toolkits=["more_trees"] ) 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 More trees assistant agent with MCP tools agent = AssistantAgent( name="more_trees_assistant", description="An AI assistant that helps with More trees 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 More trees 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 More trees 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 More trees, you can reuse the same structure for other MCP-enabled apps with minimal code changes. ## How to build More trees MCP Agent with another framework - [OpenAI Agents SDK](https://composio.dev/toolkits/more_trees/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/more_trees/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/more_trees/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/more_trees/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/more_trees/framework/codex) - [OpenClaw](https://composio.dev/toolkits/more_trees/framework/openclaw) - [Hermes](https://composio.dev/toolkits/more_trees/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/more_trees/framework/cli) - [Google ADK](https://composio.dev/toolkits/more_trees/framework/google-adk) - [LangChain](https://composio.dev/toolkits/more_trees/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/more_trees/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/more_trees/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/more_trees/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/more_trees/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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It helps streamline how you gather, organize, and analyze responses. ## Frequently Asked Questions ### What are the differences in Tool Router MCP and More trees MCP? With a standalone More trees MCP server, the agents and LLMs can only access a fixed set of More trees tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from More trees 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 More trees tools. ### Can I manage the permissions and scopes for More trees while using Tool Router? Yes, absolutely. You can configure which More trees 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 More trees data and credentials are handled as safely as possible. --- [See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)