# How to integrate Campaign cleaner MCP with CrewAI ```json { "title": "How to integrate Campaign cleaner MCP with CrewAI", "toolkit": "Campaign cleaner", "toolkit_slug": "campaign_cleaner", "framework": "CrewAI", "framework_slug": "crew-ai", "url": "https://composio.dev/toolkits/campaign_cleaner/framework/crew-ai", "markdown_url": "https://composio.dev/toolkits/campaign_cleaner/framework/crew-ai.md", "updated_at": "2026-05-06T08:04:54.675Z" } ``` ## Introduction This guide walks you through connecting Campaign cleaner to CrewAI using the Composio tool router. By the end, you'll have a working Campaign cleaner agent that can list all campaigns created this week, download pdf analysis for latest campaign, check status of your july newsletter campaign through natural language commands. This guide will help you understand how to give your CrewAI agent real control over a Campaign cleaner account through Composio's Campaign cleaner MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved. ## Also integrate Campaign cleaner with - [OpenAI Agents SDK](https://composio.dev/toolkits/campaign_cleaner/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/campaign_cleaner/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/campaign_cleaner/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/campaign_cleaner/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/campaign_cleaner/framework/codex) - [OpenClaw](https://composio.dev/toolkits/campaign_cleaner/framework/openclaw) - [Hermes](https://composio.dev/toolkits/campaign_cleaner/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/campaign_cleaner/framework/cli) - [Google ADK](https://composio.dev/toolkits/campaign_cleaner/framework/google-adk) - [LangChain](https://composio.dev/toolkits/campaign_cleaner/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/campaign_cleaner/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/campaign_cleaner/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/campaign_cleaner/framework/llama-index) ## TL;DR Here's what you'll learn: - Get a Composio API key and configure your Campaign cleaner connection - Set up CrewAI with an MCP enabled agent - Create a Tool Router session or standalone MCP server for Campaign cleaner - Build a conversational loop where your agent can execute Campaign cleaner 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 Campaign cleaner MCP server, and what's possible with it? The Campaign cleaner MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Campaign cleaner account. It provides structured and secure access to your email campaign data, so your agent can perform actions like listing campaigns, checking campaign status, downloading analysis reports, and deleting campaigns on your behalf. - Comprehensive campaign listing and retrieval: Easily ask your agent to fetch a complete list of all your saved email campaigns for review, reporting, or management. - Real-time campaign status monitoring: Let your agent check the processing status of any submitted campaign, so you always know where your campaigns stand. - Automated PDF analysis downloads: Direct your agent to download detailed PDF analysis reports for any processed campaign, streamlining your optimization workflow. - Campaign deletion and cleanup: Have your agent safely remove outdated or unnecessary campaigns by confirming and deleting them by ID. ## Supported Tools | Tool slug | Name | Description | |---|---|---| | `CAMPAIGN_CLEANER_DELETE_CAMPAIGN` | Delete Campaign | Tool to delete a saved campaign by id. use when you need to remove a campaign after confirming its id. | | `CAMPAIGN_CLEANER_GET_CAMPAIGN_LIST` | Get Campaign List | Tool to list all campaigns in the account. use when you need to retrieve campaign listings for reporting or management. | | `CAMPAIGN_CLEANER_GET_CAMPAIGN_PDF_ANALYSIS` | Download Campaign PDF Analysis | Tool to download a pdf analysis report for a processed campaign. use after a campaign has been processed. | | `CAMPAIGN_CLEANER_GET_CAMPAIGN_STATUS` | Get Campaign Status | Tool to check the processing status of a submitted campaign. use after submitting a campaign to monitor its progress. | ## Supported Triggers None listed. ## Creating MCP Server - Stand-alone vs Composio SDK The Campaign cleaner MCP server is an implementation of the Model Context Protocol that connects your AI agent to Campaign cleaner. It provides structured and secure access so your agent can perform Campaign cleaner 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 Campaign cleaner 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 Campaign cleaner 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 Campaign cleaner 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 Campaign cleaner **What's happening:** - You create a Campaign cleaner only session through Composio - Composio returns an MCP HTTP URL that exposes Campaign cleaner tools ```python composio_client = Composio(api_key=COMPOSIO_API_KEY) session = composio_client.create(user_id=COMPOSIO_USER_ID, toolkits=["campaign_cleaner"]) 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=["campaign_cleaner"], ) 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 Campaign cleaner through Composio's Tool Router. The agent can perform Campaign cleaner 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 Campaign cleaner MCP Agent with another framework - [OpenAI Agents SDK](https://composio.dev/toolkits/campaign_cleaner/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/campaign_cleaner/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/campaign_cleaner/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/campaign_cleaner/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/campaign_cleaner/framework/codex) - [OpenClaw](https://composio.dev/toolkits/campaign_cleaner/framework/openclaw) - [Hermes](https://composio.dev/toolkits/campaign_cleaner/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/campaign_cleaner/framework/cli) - [Google ADK](https://composio.dev/toolkits/campaign_cleaner/framework/google-adk) - [LangChain](https://composio.dev/toolkits/campaign_cleaner/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/campaign_cleaner/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/campaign_cleaner/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/campaign_cleaner/framework/llama-index) ## Related Toolkits - [Metaads](https://composio.dev/toolkits/metaads) - Metaads is Meta's official Ads API that lets you manage, analyze, and optimize your Facebook and Instagram ad campaigns. Streamline ad operations and gain deeper insights with robust automation. - [Adrapid](https://composio.dev/toolkits/adrapid) - Adrapid is a platform for rapid creation of digital marketing visuals using templates. It streamlines design workflows for banners, images, and HTML5 content with automation. - [Adyntel](https://composio.dev/toolkits/adyntel) - Adyntel is an API that retrieves LinkedIn ads for any company using a domain or LinkedIn Page ID. Easily access competitive ad intelligence to power your marketing workflows. - [Beaconstac](https://composio.dev/toolkits/beaconstac) - Beaconstac is a platform for creating and managing QR codes and proximity beacons. It helps businesses engage customers and track marketing performance with powerful analytics. - [Deadline funnel](https://composio.dev/toolkits/deadline_funnel) - Deadline Funnel lets you create personalized deadlines and timers for your marketing campaigns. It helps marketers boost conversions by adding authentic urgency to offers. - [Google Ads](https://composio.dev/toolkits/googleads) - Google Ads is Google's online advertising platform for creating, managing, and optimizing digital campaigns. It helps businesses reach targeted customers and maximize return on ad spend. - [Instantly](https://composio.dev/toolkits/instantly) - Instantly is a platform for automating cold email outreach, managing leads, and optimizing deliverability. Get better results from email campaigns with minimal manual effort. - [Proofly](https://composio.dev/toolkits/proofly) - Proofly is a social proof platform that displays real-time notifications of customer activity on your site. It helps you increase website conversions by building trust and urgency for visitors. - [Segmetrics](https://composio.dev/toolkits/segmetrics) - Segmetrics is a marketing analytics platform that reveals detailed insights into your customer journeys. It helps businesses optimize marketing strategies with accurate, actionable reporting. - [Semrush](https://composio.dev/toolkits/semrush) - Semrush is a leading SEO tool suite for keyword research, competitor analysis, and campaign tracking. It empowers marketers to improve search rankings and optimize online visibility. - [Sendloop](https://composio.dev/toolkits/sendloop) - Sendloop is an all-in-one email marketing platform built for SaaS, e-commerce, and small businesses. It makes it easy to send campaigns, manage lists, and track results—all in one place. - [Sidetracker](https://composio.dev/toolkits/sidetracker) - Sidetracker is a marketing analytics platform that tracks expenses, sales funnels, and customer journeys. It helps optimize marketing spend and visualize campaign performance from start to finish. - [Stannp](https://composio.dev/toolkits/stannp) - Stannp is an API-driven direct mail platform for sending postcards and letters programmatically. It lets you automate physical mail delivery—no manual printing or mailing required. - [Tapfiliate](https://composio.dev/toolkits/tapfiliate) - Tapfiliate is an affiliate and referral tracking platform for businesses. It helps companies efficiently manage, track, and grow their affiliate programs. - [Tpscheck](https://composio.dev/toolkits/tpscheck) - Tpscheck is a real-time service for verifying UK phone numbers against TPS and CTPS registers. It helps prevent unwanted marketing calls and ensures compliance with UK telemarketing laws. - [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. - [Google Calendar](https://composio.dev/toolkits/googlecalendar) - Google Calendar is a time management service for scheduling meetings, events, and reminders. It streamlines personal and team organization with integrated notifications and sharing options. - [Google Drive](https://composio.dev/toolkits/googledrive) - Google Drive is a cloud storage platform for uploading, sharing, and collaborating on files. It's perfect for keeping your documents accessible and organized across devices. - [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. - [Twitter](https://composio.dev/toolkits/twitter) - Twitter is a social media platform for sharing real-time updates, conversations, and news. Stay connected, informed, and engaged with communities worldwide. ## Frequently Asked Questions ### What are the differences in Tool Router MCP and Campaign cleaner MCP? With a standalone Campaign cleaner MCP server, the agents and LLMs can only access a fixed set of Campaign cleaner tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Campaign cleaner 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 Campaign cleaner tools. ### Can I manage the permissions and scopes for Campaign cleaner while using Tool Router? Yes, absolutely. You can configure which Campaign cleaner 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 Campaign cleaner data and credentials are handled as safely as possible. --- [See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)