# How to integrate Cody MCP with CrewAI ```json { "title": "How to integrate Cody MCP with CrewAI", "toolkit": "Cody", "toolkit_slug": "cody", "framework": "CrewAI", "framework_slug": "crew-ai", "url": "https://composio.dev/toolkits/cody/framework/crew-ai", "markdown_url": "https://composio.dev/toolkits/cody/framework/crew-ai.md", "updated_at": "2026-03-29T06:28:13.118Z" } ``` ## Introduction This guide walks you through connecting Cody to CrewAI using the Composio tool router. By the end, you'll have a working Cody agent that can summarize key findings from q2 reports, find policy details on employee benefits, draft onboarding checklist for new hires through natural language commands. This guide will help you understand how to give your CrewAI agent real control over a Cody account through Composio's Cody MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved. ## Also integrate Cody with - [OpenAI Agents SDK](https://composio.dev/toolkits/cody/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/cody/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/cody/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/cody/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/cody/framework/codex) - [OpenClaw](https://composio.dev/toolkits/cody/framework/openclaw) - [Hermes](https://composio.dev/toolkits/cody/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/cody/framework/cli) - [Google ADK](https://composio.dev/toolkits/cody/framework/google-adk) - [LangChain](https://composio.dev/toolkits/cody/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/cody/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/cody/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/cody/framework/llama-index) ## TL;DR Here's what you'll learn: - Get a Composio API key and configure your Cody connection - Set up CrewAI with an MCP enabled agent - Create a Tool Router session or standalone MCP server for Cody - Build a conversational loop where your agent can execute Cody 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 Cody MCP server, and what's possible with it? The Cody MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Cody account. It provides structured and secure access so your agent can perform Cody operations on your behalf. ## Supported Tools | Tool slug | Name | Description | |---|---|---| | `CODY_CREATE_CONVERSATION` | Create Conversation | Tool to create a new conversation with a specified bot. Use when starting a new conversation thread with optional focus mode to limit bot's knowledge base to specific documents. | | `CODY_CREATE_DOCUMENT` | Create Document | Tool to create a new document with text or HTML content in Cody AI. Use when you need to add documents to Cody's knowledge base with up to 768 KB of content. | | `CODY_CREATE_DOCUMENT_FROM_FILE` | Create Document From File | Tool to create a document by uploading a file (up to 100 MB). Supports txt, md, rtf, pdf, ppt, pptx, pptm, doc, docx, docm formats. Use when you need to add file-based documents to Cody's knowledge base. The file is processed asynchronously. | | `CODY_CREATE_DOCUMENT_FROM_WEBPAGE` | Create Document from Webpage | Tool to create a document from a publicly accessible webpage URL. Use when you need to import content from a webpage into Cody AI. The webpage must be accessible without login. If request fails, ensure the URL is publicly accessible and not blocked by a firewall. | | `CODY_CREATE_FOLDER` | Create Folder | Tool to create a new folder in Cody AI for organizing content. Use when you need to create a folder to organize documents or conversations. | | `CODY_DELETE_CONVERSATION` | Delete Conversation | Tool to delete a conversation by its ID. Use when you need to permanently remove a conversation from the system. | | `CODY_DELETE_DOCUMENT` | Delete Document | Tool to delete a document by id. Use when removing a document that is no longer needed. | | `CODY_GET_CONVERSATION` | Get Conversation | Tool to fetch a conversation by its ID from Cody AI. Use when you need to retrieve details about a specific conversation. Supports optional includes parameter to filter response to list document IDs. | | `CODY_GET_DOCUMENT` | Get Document | Tool to retrieve a specific document by its identifier from Cody AI. Use when you need to get details about a particular document including its status, content URL, and metadata. | | `CODY_GET_FOLDER` | Get Folder | Tool to retrieve a specific folder by its identifier. Use when you need to get details about a folder. | | `CODY_GET_MESSAGE` | Get Message | Tool to fetch a specific message by its ID from Cody AI. Use when you need to retrieve details about a particular message, with optional includes for sources or usage metrics. | | `CODY_GET_UPLOAD_SIGNED_URL` | Get Upload Signed URL | Tool to get an AWS S3 signed upload URL for file uploads. Use when you need to obtain a signed URL to upload a file to Cody's storage. | | `CODY_LIST_BOTS` | List Bots | Tool to get all bots with optional keyword filtering. Use when you need to retrieve the list of available bots in a Cody account. | | `CODY_LIST_CONVERSATIONS` | List Conversations | Tool to get all conversations with optional filtering by bot, keyword, or includes. Use when you need to retrieve conversation history, filter by bot, search by name, or get document associations. | | `CODY_LIST_DOCUMENTS` | List Documents | Tool to retrieve all documents from Cody AI account with optional filtering. Use when you need to list documents by folder, conversation, or search by keyword. Returns document details including learning status and content URL. | | `CODY_LIST_FOLDERS` | List Folders | Tool to retrieve all folders with optional keyword filtering. Use when you need to list or search for folders in the account. | | `CODY_LIST_MESSAGES` | List Messages | Tool to retrieve a paginated list of messages from Cody, optionally filtered by conversation. Use when you need to list messages, with optional filtering by conversation_id and extra attributes (sources or usage). | | `CODY_SEND_MESSAGE` | Send Message | Tool to send a message to Cody AI and receive an AI-generated response. Use when you need to send a user message to a conversation and get the AI's reply. | | `CODY_SEND_MESSAGE_FOR_STREAM` | Send Message for Stream | Tool to send a message to Cody AI and receive a Server-Sent Events (SSE) stream URL for the AI response. Use when you need streaming responses instead of waiting for the complete message. The response contains a stream_url that can be used to connect to the SSE stream and receive the AI's response in real-time chunks. | | `CODY_UPDATE_CONVERSATION` | Update Conversation | Tool to update a conversation by its ID including name, bot_id, and document_ids. Use when you need to modify an existing conversation's properties. | | `CODY_UPDATE_FOLDER` | Update Folder | Tool to update a folder by its ID. Use when you need to modify an existing folder's name. | ## Supported Triggers None listed. ## Creating MCP Server - Stand-alone vs Composio SDK The Cody MCP server is an implementation of the Model Context Protocol that connects your AI agent to Cody. It provides structured and secure access so your agent can perform Cody 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 Cody 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 Cody 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 Cody 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 Cody **What's happening:** - You create a Cody only session through Composio - Composio returns an MCP HTTP URL that exposes Cody tools ```python composio_client = Composio(api_key=COMPOSIO_API_KEY) session = composio_client.create(user_id=COMPOSIO_USER_ID, toolkits=["cody"]) 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=["cody"], ) 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 Cody through Composio's Tool Router. The agent can perform Cody 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 Cody MCP Agent with another framework - [OpenAI Agents SDK](https://composio.dev/toolkits/cody/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/cody/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/cody/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/cody/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/cody/framework/codex) - [OpenClaw](https://composio.dev/toolkits/cody/framework/openclaw) - [Hermes](https://composio.dev/toolkits/cody/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/cody/framework/cli) - [Google ADK](https://composio.dev/toolkits/cody/framework/google-adk) - [LangChain](https://composio.dev/toolkits/cody/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/cody/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/cody/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/cody/framework/llama-index) ## Related Toolkits - [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. - [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. - [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. - [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. - [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. - [Addressfinder](https://composio.dev/toolkits/addressfinder) - Addressfinder is a data quality platform for verifying addresses, emails, and phone numbers. It helps you ensure accurate customer and contact data every time. - [Agiled](https://composio.dev/toolkits/agiled) - Agiled is an all-in-one business management platform for CRM, projects, and finance. It helps you streamline workflows, consolidate client data, and manage business processes in one place. - [Ai ml api](https://composio.dev/toolkits/ai_ml_api) - Ai ml api is a suite of AI/ML models for natural language and image tasks. It provides fast, scalable access to advanced AI capabilities for your apps and workflows. - [Aivoov](https://composio.dev/toolkits/aivoov) - Aivoov is an AI-powered text-to-speech platform offering 1,000+ voices in over 150 languages. Instantly turn written content into natural, human-like audio for any application. - [All images ai](https://composio.dev/toolkits/all_images_ai) - All-Images.ai is an AI-powered image generation and management platform. It helps you create, search, and organize images effortlessly with advanced AI capabilities. - [Anthropic administrator](https://composio.dev/toolkits/anthropic_administrator) - Anthropic administrator is an API for managing Anthropic organizational resources like members, workspaces, and API keys. It helps you automate admin tasks and streamline resource management across your Anthropic organization. - [Api labz](https://composio.dev/toolkits/api_labz) - Api labz is a platform offering a suite of AI-driven APIs and workflow tools. It helps developers automate tasks and build smarter, more efficient applications. ## Frequently Asked Questions ### What are the differences in Tool Router MCP and Cody MCP? With a standalone Cody MCP server, the agents and LLMs can only access a fixed set of Cody tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Cody 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 Cody tools. ### Can I manage the permissions and scopes for Cody while using Tool Router? Yes, absolutely. You can configure which Cody 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 Cody data and credentials are handled as safely as possible. --- [See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)