# How to integrate Cdr platform MCP with CrewAI ```json { "title": "How to integrate Cdr platform MCP with CrewAI", "toolkit": "Cdr platform", "toolkit_slug": "cdr_platform", "framework": "CrewAI", "framework_slug": "crew-ai", "url": "https://composio.dev/toolkits/cdr_platform/framework/crew-ai", "markdown_url": "https://composio.dev/toolkits/cdr_platform/framework/crew-ai.md", "updated_at": "2026-05-12T10:05:51.705Z" } ``` ## Introduction This guide walks you through connecting Cdr platform to CrewAI using the Composio tool router. By the end, you'll have a working Cdr platform agent that can estimate cost for removing 10 tons co2, check cdr platform service status now, show current billing thresholds and fees through natural language commands. This guide will help you understand how to give your CrewAI agent real control over a Cdr platform account through Composio's Cdr platform MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved. ## Also integrate Cdr platform with - [OpenAI Agents SDK](https://composio.dev/toolkits/cdr_platform/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/cdr_platform/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/cdr_platform/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/cdr_platform/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/cdr_platform/framework/codex) - [OpenClaw](https://composio.dev/toolkits/cdr_platform/framework/openclaw) - [Hermes](https://composio.dev/toolkits/cdr_platform/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/cdr_platform/framework/cli) - [Google ADK](https://composio.dev/toolkits/cdr_platform/framework/google-adk) - [LangChain](https://composio.dev/toolkits/cdr_platform/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/cdr_platform/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/cdr_platform/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/cdr_platform/framework/llama-index) ## TL;DR Here's what you'll learn: - Get a Composio API key and configure your Cdr platform connection - Set up CrewAI with an MCP enabled agent - Create a Tool Router session or standalone MCP server for Cdr platform - Build a conversational loop where your agent can execute Cdr platform operations ## What is CrewAI? CrewAI is a powerful framework for building multi-agent AI systems. It provides primitives for defining agents with specific roles, creating tasks, and orchestrating workflows through crews. Key features include: - Agent Roles: Define specialized agents with specific goals and backstories - Task Management: Create tasks with clear descriptions and expected outputs - Crew Orchestration: Combine agents and tasks into collaborative workflows - MCP Integration: Connect to external tools through Model Context Protocol ## What is the Cdr platform MCP server, and what's possible with it? The Cdr platform MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Cdr platform account. It provides structured and secure access to your carbon removal services, so your agent can estimate CDR costs, check platform health, retrieve billing info, and even purchase carbon credits on your behalf. - Instant CDR price estimation: Ask your agent to calculate the cost of carbon dioxide removal based on selected methods and quantities before making a purchase. - Service health monitoring: Let your agent verify the operational status of the Cdr platform, including API and database connectivity, to ensure everything is running smoothly. - Up-to-date billing and pricing info: Retrieve current pricing, fees, and billing thresholds for carbon removal services to inform purchasing decisions and budget planning. - Automated carbon removal purchases: Empower your agent to initiate and complete purchases of carbon dioxide removal credits after confirming costs and selected methods. ## Supported Tools | Tool slug | Name | Description | |---|---|---| | `CDR_PLATFORM_GET_CDR_PRICE` | Get CDR Price | Calculate the cost for carbon dioxide removal (CDR) services. Specify one or more removal methods (e.g., 'bio-oil', 'kelp-sinking') with their respective amounts in kilograms to get detailed pricing including removal costs and fees. Returns costs in cents (USD). Use this to estimate pricing before making purchases. | | `CDR_PLATFORM_GET_HEALTH_CHECK` | Get Health Check | Tool to perform a health check of the CDR Platform service. Use when you need to verify API and database connectivity and core service status. | | `CDR_PLATFORM_POST_CDR_PURCHASE` | Post CDR Purchase | Tool to initiate the purchase of carbon dioxide removal credits. Use after confirming cost and methods to finalize the order. | ## Supported Triggers None listed. ## Creating MCP Server - Stand-alone vs Composio SDK The Cdr platform MCP server is an implementation of the Model Context Protocol that connects your AI agent to Cdr platform. It provides structured and secure access so your agent can perform Cdr platform operations on your behalf through a secure, permission-based interface. 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 Before starting, make sure you have: - Python 3.9 or higher - A Composio account and API key - A Cdr platform connection authorized in Composio - An OpenAI API key for the CrewAI LLM - Basic familiarity with Python ### 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 **What's happening:** - composio connects your agent to Cdr platform via MCP - crewai provides Agent, Task, Crew, and LLM primitives - crewai-tools[mcp] includes MCP helpers - python-dotenv loads environment variables from .env ```bash pip install composio crewai crewai-tools[mcp] python-dotenv ``` ### 3. Set up environment variables Create a .env file in your project root. What's happening: - COMPOSIO_API_KEY authenticates with Composio - USER_ID scopes the session to your account - OPENAI_API_KEY lets CrewAI use your chosen OpenAI model ```bash COMPOSIO_API_KEY=your_composio_api_key_here USER_ID=your_user_id_here OPENAI_API_KEY=your_openai_api_key_here ``` ### 4. Import dependencies **What's happening:** - CrewAI classes define agents and tasks, and run the workflow - MCPServerHTTP connects the agent to an MCP endpoint - Composio will give you a short lived Cdr platform MCP URL ```python import os from composio import Composio from crewai import Agent, Task, Crew from crewai_tools import MCPServerAdapter import dotenv dotenv.load_dotenv() COMPOSIO_API_KEY = os.getenv("COMPOSIO_API_KEY") COMPOSIO_USER_ID = os.getenv("COMPOSIO_USER_ID") if not COMPOSIO_API_KEY: raise ValueError("COMPOSIO_API_KEY is not set") if not COMPOSIO_USER_ID: raise ValueError("COMPOSIO_USER_ID is not set") ``` ### 5. Create a Composio Tool Router session for Cdr platform **What's happening:** - You create a Cdr platform only session through Composio - Composio returns an MCP HTTP URL that exposes Cdr platform tools ```python composio_client = Composio(api_key=COMPOSIO_API_KEY) session = composio_client.create(user_id=COMPOSIO_USER_ID, toolkits=["cdr_platform"]) url = session.mcp.url ``` ### 6. Initialize the MCP Server **What's Happening:** - Server Configuration: The code sets up connection parameters including the MCP server URL, streamable HTTP transport, and Composio API key authentication. - MCP Adapter Bridge: MCPServerAdapter acts as a context manager that converts Composio MCP tools into a CrewAI-compatible format. - Agent Setup: Creates a CrewAI Agent with a defined role (Search Assistant), goal (help with internet searches), and access to the MCP tools. - Configuration Options: The agent includes settings like verbose=False for clean output and max_iter=10 to prevent infinite loops. - Dynamic Tool Usage: Once created, the agent automatically accesses all Composio Search tools and decides when to use them based on user queries. ```python server_params = { "url": url, "transport": "streamable-http", "headers": {"x-api-key": COMPOSIO_API_KEY}, } with MCPServerAdapter(server_params) as tools: agent = Agent( role="Search Assistant", goal="Help users search the internet effectively", backstory="You are a helpful assistant with access to search tools.", tools=tools, verbose=False, max_iter=10, ) ``` ### 7. Create a CLI Chatloop and define the Crew **What's Happening:** - Interactive CLI Setup: The code creates an infinite loop that continuously prompts for user input and maintains the entire conversation history in a string variable. - Input Validation: Empty inputs are ignored to prevent processing blank messages and keep the conversation clean. - Context Building: Each user message is appended to the conversation context, which preserves the full dialogue history for better agent responses. - Dynamic Task Creation: For every user input, a new Task is created that includes both the full conversation history and the current request as context. - Crew Execution: A Crew is instantiated with the agent and task, then kicked off to process the request and generate a response. - Response Management: The agent's response is converted to a string, added to the conversation context, and displayed to the user, maintaining conversational continuity. ```python print("Chat started! Type 'exit' or 'quit' to end.\n") conversation_context = "" while True: user_input = input("You: ").strip() if user_input.lower() in ["exit", "quit", "bye"]: print("\nGoodbye!") break if not user_input: continue conversation_context += f"\nUser: {user_input}\n" print("\nAgent is thinking...\n") task = Task( description=( f"Conversation history:\n{conversation_context}\n\n" f"Current request: {user_input}" ), expected_output="A helpful response addressing the user's request", agent=agent, ) crew = Crew(agents=[agent], tasks=[task], verbose=False) result = crew.kickoff() response = str(result) conversation_context += f"Agent: {response}\n" print(f"Agent: {response}\n") ``` ## Complete Code ```python from crewai import Agent, Task, Crew, LLM from crewai_tools import MCPServerAdapter from composio import Composio from dotenv import load_dotenv import os load_dotenv() GOOGLE_API_KEY = os.getenv("GOOGLE_API_KEY") COMPOSIO_API_KEY = os.getenv("COMPOSIO_API_KEY") COMPOSIO_USER_ID = os.getenv("COMPOSIO_USER_ID") if not GOOGLE_API_KEY: raise ValueError("GOOGLE_API_KEY is not set in the environment.") if not COMPOSIO_API_KEY: raise ValueError("COMPOSIO_API_KEY is not set in the environment.") if not COMPOSIO_USER_ID: raise ValueError("COMPOSIO_USER_ID is not set in the environment.") # Initialize Composio and create a session composio = Composio(api_key=COMPOSIO_API_KEY) session = composio.create( user_id=COMPOSIO_USER_ID, toolkits=["cdr_platform"], ) url = session.mcp.url # Configure LLM llm = LLM( model="gpt-5", api_key=os.getenv("OPENAI_API_KEY"), ) server_params = { "url": url, "transport": "streamable-http", "headers": {"x-api-key": COMPOSIO_API_KEY}, } with MCPServerAdapter(server_params) as tools: agent = Agent( role="Search Assistant", goal="Help users with internet searches", backstory="You are an expert assistant with access to Composio Search tools.", tools=tools, llm=llm, verbose=False, max_iter=10, ) print("Chat started! Type 'exit' or 'quit' to end.\n") conversation_context = "" while True: user_input = input("You: ").strip() if user_input.lower() in ["exit", "quit", "bye"]: print("\nGoodbye!") break if not user_input: continue conversation_context += f"\nUser: {user_input}\n" print("\nAgent is thinking...\n") task = Task( description=( f"Conversation history:\n{conversation_context}\n\n" f"Current request: {user_input}" ), expected_output="A helpful response addressing the user's request", agent=agent, ) crew = Crew(agents=[agent], tasks=[task], verbose=False) result = crew.kickoff() response = str(result) conversation_context += f"Agent: {response}\n" print(f"Agent: {response}\n") ``` ## Conclusion You now have a CrewAI agent connected to Cdr platform through Composio's Tool Router. The agent can perform Cdr platform operations through natural language commands. Next steps: - Add role-specific instructions to customize agent behavior - Plug in more toolkits for multi-app workflows - Chain tasks for complex multi-step operations ## How to build Cdr platform MCP Agent with another framework - [OpenAI Agents SDK](https://composio.dev/toolkits/cdr_platform/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/cdr_platform/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/cdr_platform/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/cdr_platform/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/cdr_platform/framework/codex) - [OpenClaw](https://composio.dev/toolkits/cdr_platform/framework/openclaw) - [Hermes](https://composio.dev/toolkits/cdr_platform/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/cdr_platform/framework/cli) - [Google ADK](https://composio.dev/toolkits/cdr_platform/framework/google-adk) - [LangChain](https://composio.dev/toolkits/cdr_platform/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/cdr_platform/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/cdr_platform/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/cdr_platform/framework/llama-index) ## Related Toolkits - [Addresszen](https://composio.dev/toolkits/addresszen) - Addresszen is a real-time address autocomplete and verification service. It helps capture accurate, deliverable addresses with instant suggestions and validation. - [Asin data api](https://composio.dev/toolkits/asin_data_api) - Asin data api gives you detailed, real-time product data from Amazon, including price, rank, and reviews. Perfect for e-commerce pros and data-driven marketers who need instant marketplace insights. - [Baselinker](https://composio.dev/toolkits/baselinker) - BaseLinker is an all-in-one e-commerce management platform connecting stores, marketplaces, carriers, and more. It streamlines order processing, inventory control, and automates your sales operations. - [Bestbuy](https://composio.dev/toolkits/bestbuy) - Best Buy is a leading retailer offering APIs for product, store, and recommendation data. Instantly access up-to-date retail insights for smarter shopping and decision-making. - [Btcpay server](https://composio.dev/toolkits/btcpay_server) - BTCPay Server is a free, open-source, self-hosted Bitcoin payment processor. It lets merchants accept Bitcoin payments directly, cutting out middlemen and boosting privacy. - [Cloudcart](https://composio.dev/toolkits/cloudcart) - CloudCart is an e-commerce platform for building and managing online stores. It helps businesses streamline product listings, orders, and customer engagement. - [Countdown api](https://composio.dev/toolkits/countdown_api) - Countdown API gives you real-time, structured eBay product data, reviews, and seller feedback. Perfect for powering price monitoring, product research, or marketplace analytics workflows. - [Dpd2](https://composio.dev/toolkits/dpd2) - Dpd2 is a robust email management platform for handling, sorting, and automating email workflows. Streamline your communications and boost productivity with advanced sorting, labeling, and response tools. - [Finerworks](https://composio.dev/toolkits/finerworks) - FinerWorks is an online platform for fine art and photo printing services. Artists and photographers use it to order custom prints and manage print inventory efficiently. - [Fingertip](https://composio.dev/toolkits/fingertip) - Fingertip is a business management platform for selling, booking, and customer engagement—all from a single link. It helps businesses streamline operations and connect with customers across social channels. - [Fraudlabs pro](https://composio.dev/toolkits/fraudlabs_pro) - FraudLabs Pro is an online payment fraud detection service for e-commerce and merchants. It helps minimize chargebacks and revenue loss by detecting and preventing fraudulent transactions. - [Gift up](https://composio.dev/toolkits/gift_up) - Gift Up! is a digital platform for selling, managing, and redeeming gift cards online. It streamlines promotions and gift card transactions for businesses and their customers. - [Goody](https://composio.dev/toolkits/goody) - Goody is a gifting platform that lets users send gifts and physical products without handling logistics. It streamlines gifting by managing delivery, fulfillment, and recipient experience. - [Gumroad](https://composio.dev/toolkits/gumroad) - Gumroad is a platform for selling digital products, physical goods, and memberships with a simple checkout and marketing tools. It streamlines creator payouts and helps you grow your audience effortlessly. - [Instacart](https://composio.dev/toolkits/instacart) - Instacart is an online grocery delivery and pickup service platform. It lets you discover local retailers and create shoppable lists and recipes with ease. - [Junglescout](https://composio.dev/toolkits/junglescout) - Junglescout is an Amazon product research and analytics platform for sellers. It delivers sales estimates, competitive insights, and optimization tools to boost your Amazon business. - [Ko fi](https://composio.dev/toolkits/ko_fi) - Ko-fi is a platform that lets creators receive donations, memberships, and sales from fans. It helps creators monetize their work and grow their audience with minimal friction. - [Lemon squeezy](https://composio.dev/toolkits/lemon_squeezy) - Lemon Squeezy is a payments and subscription platform built for software companies. It makes managing payments, taxes, and customer subscriptions effortless. - [Loyverse](https://composio.dev/toolkits/loyverse) - Loyverse is a point-of-sale (POS) platform for small businesses, offering tools for sales, inventory, and customer loyalty. It helps streamline retail operations and boost customer engagement. - [Memberstack](https://composio.dev/toolkits/memberstack) - Memberstack lets you add user authentication, payments, and member management to your website—no backend code required. Easily manage your site's members and subscriptions from a single platform. ## Frequently Asked Questions ### What are the differences in Tool Router MCP and Cdr platform MCP? With a standalone Cdr platform MCP server, the agents and LLMs can only access a fixed set of Cdr platform tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Cdr platform and many other apps based on the task at hand, all through a single MCP endpoint. ### Can I use Tool Router MCP with CrewAI? Yes, you can. CrewAI 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 Cdr platform tools. ### Can I manage the permissions and scopes for Cdr platform while using Tool Router? Yes, absolutely. You can configure which Cdr platform 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 Cdr platform data and credentials are handled as safely as possible. --- [See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)