Connect your AI to verified B2B data

ZoomInfo MCP enables MCP-compatible AI models to query structured B2B company, contact, and technographic data directly within their workflows.

What is ZoomInfo MCP?

ZoomInfo MCP connects AI models to ZoomInfo’s B2B intelligence using the Model Context Protocol. It allows AI systems to request company, contact, and signal data as structured tool calls inside their workflows.

Connect ZoomInfo to Claude and ChatGPT in 3 steps

All you need is Claude and a ZoomInfo account with active credentials

Open the connectors store

From any Claude conversation, open the integrations/connectors entry (or go via Settings).

Enable ZoomInfo

Find ZoomInfo in the connector list and enable it.

Authenticate

Sign in with your ZoomInfo credentials when prompted. Claude uses standard OAuth and you are authorizing Claude to make ZoomInfo API calls on your behalf.

The ZoomInfo MCP toolset

When the ZoomInfo connector is active, Claude can use a set of tools that cover the GTM intelligence lifecycle:

Find Accounts

Search for companies that match your target market using Zoominfo's proprietary matching and recommendation engines. Use filters like industry, company size, revenue, growth, location, and technologies to optimize your match.

Enrich Accounts

Add complete company profiles to your account lists, including firmographics, technographics, funding data, and key business signals.

Research Accounts

Research a company/account/organization using ZoomInfo market data with your CRM, conversation history and signals. Handles both targeted queries ("What's their recent news?") and broad orientation ("What's going on with this account?").

Find Contacts

Identify similar contacts and receive AI-ranked recommendations on who to engage at each account using ZoomInfo's models and recommendation engines. Go deeper by filtering for role, seniority, department, and other professional attributes.

Enrich Contacts

Enhance your contact lists with verified email address, phone number and additional high-value attributes to fuel your GTM.

Research Contacts

Access full profiles, employment history to personalize every message with the latest information. Answer questions like:

  • Professional background: What's their career history? Where did they work before?
  • Current role: What do they do? What are their responsibilities?
  • Education & expertise: Where did they go to school? What's their expertise?
  • Contact info: What's their email? Phone number? LinkedIn? And much more.

Five workflows to try today

Each workflow below is structured to be “prompt in, operational output out”. Copy, replace the bracketed fields and run it.

Workflow 1: Build a target account list from your ICP

Outcome: A structured list of accounts matched to your ICP, ready to sort, export, or hand to routing/workflows.

Tools used: Lookup, Search companies (optional: Enrich companies)

Workflow 2: Deep account research before a meeting

Outcome: A scan-ready briefing for a live meeting.

Tools used: Account research, Contact recommendations, Web search

Workflow 3: Visual account portfolio map (engagement-based)

Outcome: A QBR-ready portfolio view grouped by engagement status.

Tools used: Search companies, Account research (iterated), HTML artifact generation

Workflow 4: Generate a mutual action plan grounded in account intelligence

Outcome: A MAP you can use in a deal cycle or expansion motion, tied to known stakeholders and known context.

Tools used: Account research, Contact recommendations, Search contacts, Document generation

Workflow 5: Expand from a closed deal into lookalike accounts (with outreach)

Outcome: A lookalike account list, a matched persona list, enriched contacts, and first-draft outreach.

Tools used: Find similar companies, Search contacts, Find similar contacts, Enrich contacts, Message composition

See ZoomInfo MCP in action

FAQs

What is ZoomInfo MCP?

The ZoomInfo MCP (Model Context Protocol) server is a standardized interface that connects ZoomInfo’s B2B database directly to AI models like Claude. It allows the AI to "query" our live data to find contacts, enrich accounts, and identify intent signals during a natural conversation.

Do I need a developer to set up ZoomInfo's MCP?

Initial setup requires a one-time configuration of the MCP server (available via our GitHub and documentation). Once the server is running, any user can interact with the ZoomInfo data using natural language commands inside their Claude chat environment.

Is my data secure while using ZoomInfo MCP?

Yes. The MCP protocol uses a capability-based security model. You control exactly which data tools Claude can access, and all queries are handled securely via your existing ZoomInfo API credentials.

How does the ZoomInfo MCP differ from using a standard ZoomInfo API?

Standard APIs require manual coding to fetch and pass data to an LLM. The MCP server uses an open standard developed by Anthropic that allows Claude to automatically "see" and use ZoomInfo as a native tool, enabling more fluid, agentic workflows.