# How to integrate Klazify MCP with CrewAI ```json { "title": "How to integrate Klazify MCP with CrewAI", "toolkit": "Klazify", "toolkit_slug": "klazify", "framework": "CrewAI", "framework_slug": "crew-ai", "url": "https://composio.dev/toolkits/klazify/framework/crew-ai", "markdown_url": "https://composio.dev/toolkits/klazify/framework/crew-ai.md", "updated_at": "2026-03-29T06:39:37.234Z" } ``` ## Introduction This guide walks you through connecting Klazify to CrewAI using the Composio tool router. By the end, you'll have a working Klazify agent that can categorize https://example.com and get its logo, extract social media links for a company website, identify technology stack of a given domain through natural language commands. This guide will help you understand how to give your CrewAI agent real control over a Klazify account through Composio's Klazify MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved. ## Also integrate Klazify with - [OpenAI Agents SDK](https://composio.dev/toolkits/klazify/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/klazify/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/klazify/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/klazify/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/klazify/framework/codex) - [OpenClaw](https://composio.dev/toolkits/klazify/framework/openclaw) - [Hermes](https://composio.dev/toolkits/klazify/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/klazify/framework/cli) - [Google ADK](https://composio.dev/toolkits/klazify/framework/google-adk) - [LangChain](https://composio.dev/toolkits/klazify/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/klazify/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/klazify/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/klazify/framework/llama-index) ## TL;DR Here's what you'll learn: - Get a Composio API key and configure your Klazify connection - Set up CrewAI with an MCP enabled agent - Create a Tool Router session or standalone MCP server for Klazify - Build a conversational loop where your agent can execute Klazify 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 Klazify MCP server, and what's possible with it? The Klazify MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Klazify account. It provides structured and secure access so your agent can perform Klazify operations on your behalf. ## Supported Tools | Tool slug | Name | Description | |---|---|---| | `KLAZIFY_CATEGORIZE_URL` | Categorize URL | Tool to retrieve IAB and Klazify category classifications for a specified domain or URL with confidence scores. Use when you need to categorize websites into 620+ IAB V3 categories using machine learning, or obtain detailed domain information including company data and social media links. | | `KLAZIFY_GET_COMPANY_DATA` | Get Company Data | Tool to retrieve comprehensive company information for a specified domain including business data, location, employee count, revenue, funding, and industry classifications. Use when you need detailed company profile information from a domain URL. | | `KLAZIFY_GET_DOMAIN_EXPIRATION` | Get Domain Expiration | Tool to retrieve domain registration and expiration information for a specified domain. Use when you need to check domain age, registration date, expiration date, or days until expiration. | | `KLAZIFY_GET_DOMAIN_LOGO` | Get Domain Logo | Tool to obtain the logo URL associated with a given domain. Use when you need to retrieve a company's logo from their website URL. | | `KLAZIFY_GET_SIMILAR_COMPANIES` | Get Similar Companies | Tool to identify companies similar to the specified domain by analyzing category and target market. Use when you need to find competitors or similar businesses to a given domain. | | `KLAZIFY_GET_SOCIAL_MEDIA_LINKS` | Get Social Media Links | Tool to retrieve the list of social media links for a given domain. Use when you need to extract social media profile URLs across multiple platforms (Facebook, Twitter, Instagram, LinkedIn, YouTube, Medium, GitHub, Pinterest). | | `KLAZIFY_GET_TECH_STACK` | Get Tech Stack | Tool to retrieve the technological stack utilized by a website including frameworks, platforms, and services. Use when you need to identify what technologies a domain uses for competitive analysis, lead generation, or market research. | | `KLAZIFY_REAL_TIME_CATEGORIZATION` | Real Time Categorization | Tool to perform real-time website categorization with immediate AI-powered analysis and classification. Use when you need instant domain categorization into 621+ IAB V3 categories with confidence scores, along with company data, social media profiles, and technology stack information. | ## Supported Triggers None listed. ## Creating MCP Server - Stand-alone vs Composio SDK The Klazify MCP server is an implementation of the Model Context Protocol that connects your AI agent to Klazify. It provides structured and secure access so your agent can perform Klazify 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 Klazify 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 Klazify 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 Klazify 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 Klazify **What's happening:** - You create a Klazify only session through Composio - Composio returns an MCP HTTP URL that exposes Klazify tools ```python composio_client = Composio(api_key=COMPOSIO_API_KEY) session = composio_client.create(user_id=COMPOSIO_USER_ID, toolkits=["klazify"]) 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=["klazify"], ) 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 Klazify through Composio's Tool Router. The agent can perform Klazify 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 Klazify MCP Agent with another framework - [OpenAI Agents SDK](https://composio.dev/toolkits/klazify/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/klazify/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/klazify/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/klazify/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/klazify/framework/codex) - [OpenClaw](https://composio.dev/toolkits/klazify/framework/openclaw) - [Hermes](https://composio.dev/toolkits/klazify/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/klazify/framework/cli) - [Google ADK](https://composio.dev/toolkits/klazify/framework/google-adk) - [LangChain](https://composio.dev/toolkits/klazify/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/klazify/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/klazify/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/klazify/framework/llama-index) ## Related Toolkits - [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. - [Firecrawl](https://composio.dev/toolkits/firecrawl) - Firecrawl automates large-scale web crawling and data extraction. It helps organizations efficiently gather, index, and analyze content from online sources. - [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. - [Tavily](https://composio.dev/toolkits/tavily) - Tavily offers powerful search and data retrieval from documents, databases, and the web. It helps teams locate and filter information instantly, saving hours on research. - [Exa](https://composio.dev/toolkits/exa) - Exa is a data extraction and search platform for gathering and analyzing information from websites, APIs, or databases. It helps teams quickly surface insights and automate data-driven workflows. - [Serpapi](https://composio.dev/toolkits/serpapi) - SerpApi is a real-time API for structured search engine results. It lets you automate SERP data collection, parsing, and analysis for SEO and research. - [Reddit](https://composio.dev/toolkits/reddit) - Reddit is a social news platform with thriving user-driven communities (subreddits). It's the go-to place for discussion, content sharing, and viral marketing. - [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. - [Peopledatalabs](https://composio.dev/toolkits/peopledatalabs) - Peopledatalabs delivers B2B data enrichment and identity resolution APIs. Supercharge your apps with accurate, up-to-date business and contact data. - [Snowflake](https://composio.dev/toolkits/snowflake) - Snowflake is a cloud data warehouse built for elastic scaling, secure data sharing, and fast SQL analytics across major clouds. - [Facebook](https://composio.dev/toolkits/facebook) - Facebook is a social media and advertising platform for businesses and creators. It helps you connect, share, and manage content across your public Facebook Pages. - [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. - [Posthog](https://composio.dev/toolkits/posthog) - PostHog is an open-source analytics platform for tracking user interactions and product metrics. It helps teams refine features, analyze funnels, and reduce churn with actionable insights. - [Linkedin](https://composio.dev/toolkits/linkedin) - LinkedIn is a professional networking platform for connecting, sharing content, and engaging with business opportunities. It's the go-to place for building your professional brand and unlocking new career connections. - [Active campaign](https://composio.dev/toolkits/active_campaign) - ActiveCampaign is a marketing automation and CRM platform for managing email campaigns, sales pipelines, and customer segmentation. It helps businesses engage customers and drive growth through smart automation and targeted outreach. - [ActiveTrail](https://composio.dev/toolkits/active_trail) - ActiveTrail is a user-friendly email marketing and automation platform. It helps you reach subscribers and automate campaigns with ease. - [Ahrefs](https://composio.dev/toolkits/ahrefs) - Ahrefs is an SEO and marketing platform for site audits, keyword research, and competitor insights. It helps you improve search rankings and drive organic traffic. - [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. ## Frequently Asked Questions ### What are the differences in Tool Router MCP and Klazify MCP? With a standalone Klazify MCP server, the agents and LLMs can only access a fixed set of Klazify tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Klazify 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 Klazify tools. ### Can I manage the permissions and scopes for Klazify while using Tool Router? Yes, absolutely. You can configure which Klazify 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 Klazify data and credentials are handled as safely as possible. --- [See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)