# How to integrate Zoominfo MCP with Mastra AI ```json { "title": "How to integrate Zoominfo MCP with Mastra AI", "toolkit": "Zoominfo", "toolkit_slug": "zoominfo", "framework": "Mastra AI", "framework_slug": "mastra-ai", "url": "https://composio.dev/toolkits/zoominfo/framework/mastra-ai", "markdown_url": "https://composio.dev/toolkits/zoominfo/framework/mastra-ai.md", "updated_at": "2026-05-06T08:35:12.735Z" } ``` ## Introduction This guide walks you through connecting Zoominfo to Mastra AI using the Composio tool router. By the end, you'll have a working Zoominfo agent that can find companies in new york with over 500 employees, enrich this contact with latest job title, list recent news about target accounts through natural language commands. This guide will help you understand how to give your Mastra AI agent real control over a Zoominfo account through Composio's Zoominfo MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved. ## Also integrate Zoominfo with - [OpenAI Agents SDK](https://composio.dev/toolkits/zoominfo/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/zoominfo/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/zoominfo/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/zoominfo/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/zoominfo/framework/codex) - [OpenClaw](https://composio.dev/toolkits/zoominfo/framework/openclaw) - [Hermes](https://composio.dev/toolkits/zoominfo/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/zoominfo/framework/cli) - [Google ADK](https://composio.dev/toolkits/zoominfo/framework/google-adk) - [LangChain](https://composio.dev/toolkits/zoominfo/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/zoominfo/framework/ai-sdk) - [LlamaIndex](https://composio.dev/toolkits/zoominfo/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/zoominfo/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 Zoominfo tools - Connect Mastra's MCP client to the Composio generated MCP URL - Fetch Zoominfo 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 Zoominfo 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 Zoominfo MCP server, and what's possible with it? The Zoominfo MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Zoominfo account. It provides structured and secure access to rich B2B sales intelligence, so your agent can search companies, enrich contact and company data, analyze intent signals, and surface actionable go-to-market insights for you. - Company and contact data enrichment: Instantly have your agent pull detailed profiles, firmographics, and contact information for any business or person of interest. - Smart company and contact search: Let your agent find the right leads by searching Zoominfo's vast database using criteria like location, industry, and role. - Intent signal analysis: Enable your agent to analyze buying intent signals and help prioritize outreach based on real-time market activity. - Technology and news enrichment: Ask your agent to uncover what technologies a company uses or find the latest news and scoops about prospects and clients. - Location-based prospecting: Have your agent filter and enrich location details to support precise territory planning and targeted campaigns. ## Supported Tools | Tool slug | Name | Description | |---|---|---| | `ZOOMINFO_ENRICH_COMPANY` | Company Enrich | Company enrich | | `ZOOMINFO_ENRICH_CONTACT` | Contact Enrich | Contact enrich | | `ZOOMINFO_ENRICH_INTENT` | Intent Enrich | Intent enrich | | `ZOOMINFO_ENRICH_LOCATION` | Location Enrich | Location enrich | | `ZOOMINFO_ENRICH_NEWS` | News Enrich | News enrich | | `ZOOMINFO_ENRICH_SCOOP` | Scoop Enrich | Scoop enrich | | `ZOOMINFO_ENRICH_TECHNOLOGY` | Technology Enrich | Technology enrich | | `ZOOMINFO_SEARCH_COMPANY` | Company Search | Returns a list of companies from zoominfo's data which meet the specified search criteria. | | `ZOOMINFO_SEARCH_COMPANY_INPUT` | Company Search Inputs | Returns a list of fields you can use as input for the company search action. | | `ZOOMINFO_SEARCH_CONTACT` | Contact Search | Returns a list of contacts from zoominfo's data that meet the specified search criteria. | | `ZOOMINFO_SEARCH_CONTACT_INPUT` | Contact Search Inputs | Returns a list of fields you can use as input for the contact search action. | | `ZOOMINFO_SEARCH_INTENT` | Intent Search | Use this endpoint to search for companies and recommended contacts based on intent data. use input values to return the desired output fields in the response. for charging purposes, each intent signal returned is counted as a record. | | `ZOOMINFO_SEARCH_INTENT_INPUT` | Intent Search Inputs | Returns a list of fields you can use as input for the intent action. | | `ZOOMINFO_SEARCH_NEWS` | News Search | Returns a list of news articles from zoominfo's data which meet the specified search criteria. all inputs are optional, but you must use at least one input parameter to generate a successful response. | | `ZOOMINFO_SEARCH_NEWS_INPUT` | News Search Inputs | Returns a list of fields you can use as input for the news search endpoint. | | `ZOOMINFO_SEARCH_SCOOP` | Scoop Search | Returns a list of scoops from zoominfo's data which meet the specified search criteria. | | `ZOOMINFO_SEARCH_SCOOP_INPUT` | Scoop Search Inputs | Returns a list of fields you can use as input for the scoop search action. | ## Supported Triggers None listed. ## Creating MCP Server - Stand-alone vs Composio SDK The Zoominfo MCP server is an implementation of the Model Context Protocol that connects your AI agent to Zoominfo. It provides structured and secure access so your agent can perform Zoominfo 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 Zoominfo 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 Zoominfo What's happening: - create spins up a short-lived MCP HTTP endpoint for this user - The toolkits array contains "zoominfo" for Zoominfo 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: ["zoominfo"], }, ); const composioMCPUrl = session.mcp.url; console.log("Zoominfo 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 Zoominfo 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: "zoominfo-mastra-agent", instructions: "You are an AI agent with Zoominfo 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 Zoominfo 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: { zoominfo: 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: ["zoominfo"], }); const composioMCPUrl = session.mcp.url; const mcpClient = new MCPClient({ id: composioUserID as string, servers: { zoominfo: { url: new URL(composioMCPUrl), requestInit: { headers: session.mcp.headers, }, }, }, timeout: 30_000, }); const composioTools = await mcpClient.getTools(); const agent = new Agent({ name: "zoominfo-mastra-agent", instructions: "You are an AI agent with Zoominfo 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: { zoominfo: 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 Zoominfo 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 Zoominfo MCP Agent with another framework - [OpenAI Agents SDK](https://composio.dev/toolkits/zoominfo/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/zoominfo/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/zoominfo/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/zoominfo/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/zoominfo/framework/codex) - [OpenClaw](https://composio.dev/toolkits/zoominfo/framework/openclaw) - [Hermes](https://composio.dev/toolkits/zoominfo/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/zoominfo/framework/cli) - [Google ADK](https://composio.dev/toolkits/zoominfo/framework/google-adk) - [LangChain](https://composio.dev/toolkits/zoominfo/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/zoominfo/framework/ai-sdk) - [LlamaIndex](https://composio.dev/toolkits/zoominfo/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/zoominfo/framework/crew-ai) ## Related Toolkits - [Hubspot](https://composio.dev/toolkits/hubspot) - HubSpot is an all-in-one marketing, sales, and customer service platform. It lets teams nurture leads, automate outreach, and track every customer interaction in one place. - [Pipedrive](https://composio.dev/toolkits/pipedrive) - Pipedrive is a sales management platform offering pipeline visualization, lead tracking, and workflow automation. It helps sales teams keep deals moving forward efficiently and never miss a follow-up. - [Salesforce](https://composio.dev/toolkits/salesforce) - Salesforce is a leading CRM platform that helps businesses manage sales, service, and marketing. It centralizes customer data, enabling teams to drive growth and build strong relationships. - [Apollo](https://composio.dev/toolkits/apollo) - Apollo is a CRM and lead generation platform that helps businesses discover contacts and manage sales pipelines. Use it to streamline customer outreach and track your deals from one place. - [Attio](https://composio.dev/toolkits/attio) - Attio is a customizable CRM and workspace for managing your team's relationships and workflows. It helps teams organize contacts, automate tasks, and collaborate more efficiently. - [Acculynx](https://composio.dev/toolkits/acculynx) - AccuLynx is a cloud-based roofing business management software for contractors. It streamlines project tracking, lead management, and document sharing. - [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. - [Affinity](https://composio.dev/toolkits/affinity) - Affinity is a relationship intelligence CRM that helps private capital investors find, manage, and close more deals. It streamlines deal flow and surfaces key connections to help you win opportunities. - [Agencyzoom](https://composio.dev/toolkits/agencyzoom) - AgencyZoom is a sales and performance platform built for P&C insurance agencies. It helps agents boost sales, retain clients, and analyze producer results in one place. - [Bettercontact](https://composio.dev/toolkits/bettercontact) - Bettercontact is a smart contact enrichment tool for finding emails and phone numbers. It helps boost lead generation with automated, waterfall search across multiple sources. - [Blackbaud](https://composio.dev/toolkits/blackbaud) - Blackbaud provides cloud-based software for nonprofits, schools, and healthcare institutions. It streamlines fundraising, donor management, and mission-driven operations. - [Brilliant directories](https://composio.dev/toolkits/brilliant_directories) - Brilliant Directories is an all-in-one platform for building and managing online membership communities and business directories. It streamlines listings, member management, and engagement tools into a single, easy interface. - [Capsule crm](https://composio.dev/toolkits/capsule_crm) - Capsule CRM is a user-friendly CRM platform for managing contacts and sales pipelines. It helps businesses organize relationships and streamline their sales process efficiently. - [Centralstationcrm](https://composio.dev/toolkits/centralstationcrm) - CentralStationCRM is an easy-to-use CRM software focused on collaboration and long-term customer relationships. It helps teams manage contacts, deals, and communications all in one place. - [Clientary](https://composio.dev/toolkits/clientary) - Clientary is a platform for managing clients, invoices, projects, proposals, and more. It streamlines client work and saves you serious admin time. - [Close](https://composio.dev/toolkits/close) - Close is a CRM platform built for sales teams, combining calling, email automation, and predictive dialers. It streamlines sales workflows and boosts productivity with all-in-one communication tools. - [Dropcontact](https://composio.dev/toolkits/dropcontact) - Dropcontact is a B2B email finder and data enrichment service for professionals. It delivers verified email addresses and enriches contact info with up-to-date data. - [Dynamics365](https://composio.dev/toolkits/dynamics365) - Dynamics 365 is Microsoft's platform combining CRM, ERP, and productivity apps. It streamlines sales, marketing, service, and operations in one place. - [Espocrm](https://composio.dev/toolkits/espocrm) - EspoCRM is an open-source web application for managing customer relationships. It helps businesses organize contacts, track leads, and streamline their sales process. - [Fireberry](https://composio.dev/toolkits/fireberry) - Fireberry is a CRM platform that streamlines customer and sales management. It helps businesses organize contacts, automate sales, and integrate with other business tools. ## Frequently Asked Questions ### What are the differences in Tool Router MCP and Zoominfo MCP? With a standalone Zoominfo MCP server, the agents and LLMs can only access a fixed set of Zoominfo tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Zoominfo 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 Zoominfo tools. ### Can I manage the permissions and scopes for Zoominfo while using Tool Router? Yes, absolutely. You can configure which Zoominfo 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 Zoominfo data and credentials are handled as safely as possible. --- [See all toolkits](https://composio.dev/toolkits) ยท [Composio docs](https://docs.composio.dev/llms.txt)