# How to integrate Klazify MCP with Mastra AI ```json { "title": "How to integrate Klazify MCP with Mastra AI", "toolkit": "Klazify", "toolkit_slug": "klazify", "framework": "Mastra AI", "framework_slug": "mastra-ai", "url": "https://composio.dev/toolkits/klazify/framework/mastra-ai", "markdown_url": "https://composio.dev/toolkits/klazify/framework/mastra-ai.md", "updated_at": "2026-03-29T06:39:37.234Z" } ``` ## Introduction This guide walks you through connecting Klazify to Mastra AI 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 Mastra AI 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) - [LlamaIndex](https://composio.dev/toolkits/klazify/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/klazify/framework/crew-ai) ## TL;DR Here's what you'll learn: - Set up your environment so Mastra, OpenAI, and Composio work together - Create a Tool Router session in Composio that exposes Klazify tools - Connect Mastra's MCP client to the Composio generated MCP URL - Fetch Klazify tool definitions and attach them as a toolset - Build a Mastra agent that can reason, call tools, and return structured results - Run an interactive CLI where you can chat with your Klazify agent ## What is Mastra AI? Mastra AI is a TypeScript framework for building AI agents with tool support. It provides a clean API for creating agents that can use external services through MCP. Key features include: - MCP Client: Built-in support for Model Context Protocol servers - Toolsets: Organize tools into logical groups - Step Callbacks: Monitor and debug agent execution - OpenAI Integration: Works with OpenAI models via @ai-sdk/openai ## 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: - Node.js 18 or higher - A Composio account with an active API key - An OpenAI API key - Basic familiarity with TypeScript ### 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 need credits or a connected billing setup to use the models. - Store the key somewhere safe. Composio API Key - Log in to the [Composio dashboard](https://dashboard.composio.dev?utm_source=toolkits&utm_medium=framework_docs). - Go to Settings and copy your API key. - This key lets your Mastra agent talk to Composio and reach Klazify through MCP. ### 2. Install dependencies Install the required packages. What's happening: - @composio/core is the Composio SDK for creating MCP sessions - @mastra/core provides the Agent class - @mastra/mcp is Mastra's MCP client - @ai-sdk/openai is the model wrapper for OpenAI - dotenv loads environment variables from .env ```bash npm install @composio/core @mastra/core @mastra/mcp @ai-sdk/openai dotenv ``` ### 3. Set up environment variables Create a .env file in your project root. What's happening: - COMPOSIO_API_KEY authenticates your requests to Composio - COMPOSIO_USER_ID tells Composio which user this session belongs to - OPENAI_API_KEY lets the Mastra agent call OpenAI models ```bash COMPOSIO_API_KEY=your_composio_api_key_here COMPOSIO_USER_ID=your_user_id_here OPENAI_API_KEY=your_openai_api_key_here ``` ### 4. Import libraries and validate environment What's happening: - dotenv/config auto loads your .env so process.env.* is available - openai gives you a Mastra compatible model wrapper - Agent is the Mastra agent that will call tools and produce answers - MCPClient connects Mastra to your Composio MCP server - Composio is used to create a Tool Router session ```typescript import "dotenv/config"; import { openai } from "@ai-sdk/openai"; import { Agent } from "@mastra/core/agent"; import { MCPClient } from "@mastra/mcp"; import { Composio } from "@composio/core"; import * as readline from "readline"; import type { AiMessageType } from "@mastra/core/agent"; const openaiAPIKey = process.env.OPENAI_API_KEY; const composioAPIKey = process.env.COMPOSIO_API_KEY; const composioUserID = process.env.COMPOSIO_USER_ID; if (!openaiAPIKey) throw new Error("OPENAI_API_KEY is not set"); if (!composioAPIKey) throw new Error("COMPOSIO_API_KEY is not set"); if (!composioUserID) throw new Error("COMPOSIO_USER_ID is not set"); const composio = new Composio({ apiKey: composioAPIKey as string, }); ``` ### 5. Create a Tool Router session for Klazify What's happening: - create spins up a short-lived MCP HTTP endpoint for this user - The toolkits array contains "klazify" for Klazify access - session.mcp.url is the MCP URL that Mastra's MCPClient will connect to ```typescript async function main() { const session = await composio.create( composioUserID as string, { toolkits: ["klazify"], }, ); const composioMCPUrl = session.mcp.url; console.log("Klazify MCP URL:", composioMCPUrl); ``` ### 6. Configure Mastra MCP client and fetch tools What's happening: - MCPClient takes an id for this client and a list of MCP servers - The headers property includes the x-api-key for authentication - getTools fetches the tool definitions exposed by the Klazify toolkit ```typescript const mcpClient = new MCPClient({ id: composioUserID as string, servers: { nasdaq: { url: new URL(composioMCPUrl), requestInit: { headers: session.mcp.headers, }, }, }, timeout: 30_000, }); console.log("Fetching MCP tools from Composio..."); const composioTools = await mcpClient.getTools(); console.log("Number of tools:", Object.keys(composioTools).length); ``` ### 7. Create the Mastra agent What's happening: - Agent is the core Mastra agent - name is just an identifier for logging and debugging - instructions guide the agent to use tools instead of only answering in natural language - model uses openai("gpt-5") to configure the underlying LLM ```typescript const agent = new Agent({ name: "klazify-mastra-agent", instructions: "You are an AI agent with Klazify tools via Composio.", model: "openai/gpt-5", }); ``` ### 8. Set up interactive chat interface What's happening: - messages keeps the full conversation history in Mastra's expected format - agent.generate runs the agent with conversation history and Klazify toolsets - maxSteps limits how many tool calls the agent can take in a single run - onStepFinish is a hook that prints intermediate steps for debugging ```typescript let messages: AiMessageType[] = []; console.log("Chat started! Type 'exit' or 'quit' to end.\n"); const rl = readline.createInterface({ input: process.stdin, output: process.stdout, prompt: "> ", }); rl.prompt(); rl.on("line", async (userInput: string) => { const trimmedInput = userInput.trim(); if (["exit", "quit", "bye"].includes(trimmedInput.toLowerCase())) { console.log("\nGoodbye!"); rl.close(); process.exit(0); } if (!trimmedInput) { rl.prompt(); return; } messages.push({ id: crypto.randomUUID(), role: "user", content: trimmedInput, }); console.log("\nAgent is thinking...\n"); try { const response = await agent.generate(messages, { toolsets: { klazify: composioTools, }, maxSteps: 8, }); const { text } = response; if (text && text.trim().length > 0) { console.log(`Agent: ${text}\n`); messages.push({ id: crypto.randomUUID(), role: "assistant", content: text, }); } } catch (error) { console.error("\nError:", error); } rl.prompt(); }); rl.on("close", async () => { console.log("\nSession ended."); await mcpClient.disconnect(); process.exit(0); }); } main().catch((err) => { console.error("Fatal error:", err); process.exit(1); }); ``` ## Complete Code ```typescript import "dotenv/config"; import { openai } from "@ai-sdk/openai"; import { Agent } from "@mastra/core/agent"; import { MCPClient } from "@mastra/mcp"; import { Composio } from "@composio/core"; import * as readline from "readline"; import type { AiMessageType } from "@mastra/core/agent"; const openaiAPIKey = process.env.OPENAI_API_KEY; const composioAPIKey = process.env.COMPOSIO_API_KEY; const composioUserID = process.env.COMPOSIO_USER_ID; if (!openaiAPIKey) throw new Error("OPENAI_API_KEY is not set"); if (!composioAPIKey) throw new Error("COMPOSIO_API_KEY is not set"); if (!composioUserID) throw new Error("COMPOSIO_USER_ID is not set"); const composio = new Composio({ apiKey: composioAPIKey as string }); async function main() { const session = await composio.create(composioUserID as string, { toolkits: ["klazify"], }); const composioMCPUrl = session.mcp.url; const mcpClient = new MCPClient({ id: composioUserID as string, servers: { klazify: { url: new URL(composioMCPUrl), requestInit: { headers: session.mcp.headers, }, }, }, timeout: 30_000, }); const composioTools = await mcpClient.getTools(); const agent = new Agent({ name: "klazify-mastra-agent", instructions: "You are an AI agent with Klazify tools via Composio.", model: "openai/gpt-5", }); let messages: AiMessageType[] = []; const rl = readline.createInterface({ input: process.stdin, output: process.stdout, prompt: "> ", }); rl.prompt(); rl.on("line", async (input: string) => { const trimmed = input.trim(); if (["exit", "quit"].includes(trimmed.toLowerCase())) { rl.close(); return; } messages.push({ id: crypto.randomUUID(), role: "user", content: trimmed }); const { text } = await agent.generate(messages, { toolsets: { klazify: composioTools }, maxSteps: 8, }); if (text) { console.log(`Agent: ${text}\n`); messages.push({ id: crypto.randomUUID(), role: "assistant", content: text }); } rl.prompt(); }); rl.on("close", async () => { await mcpClient.disconnect(); process.exit(0); }); } main(); ``` ## Conclusion You've built a Mastra AI agent that can interact with Klazify through Composio's Tool Router. You can extend this further by: - Adding other toolkits like Gmail, Slack, or GitHub - Building a web-based chat interface around this agent - Using multiple MCP endpoints to enable cross-app workflows ## 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) - [LlamaIndex](https://composio.dev/toolkits/klazify/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/klazify/framework/crew-ai) ## 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 Mastra AI? Yes, you can. Mastra AI 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)