Instantly Build Sales Prospecting Lists in Claude with ZoomInfo

Artificial IntelligenceAutomationGo to MarketSales IntelligenceSales Prospecting

Most LLMs can't help you prospect

Most LLMs can't help you prospect. They'll give you company names, maybe some generic advice. But when it comes to actual contact details like phone numbers and email addresses, that's where they fall apart.

The problem is the data, or the lack of it. Without access to a comprehensive, verified B2B data platform, even the most sophisticated language models hit a wall when you need actionable intelligence. ZoomInfo, the all-in-one AI GTM Platform, solves this by connecting AI assistants directly to its B2B data platform, 500M contacts, 100M companies, 135M+ verified phone numbers, and 200M+ verified business emails. The GTM Context Graph, ZoomInfo's agent-native intelligence layer, makes that same intelligence available to teams building on other AI tools or agent platforms, so you can connect to the same verified data through MCP or one API, without adopting a new interface.

So we fixed that.

What is ZoomInfo MCP?

The Model Context Protocol (MCP) is the open standard that lets AI assistants call external tools and data sources in real time, during a conversation. ZoomInfo publishes a native ZoomInfo MCP server that connects AI assistants directly to its B2B data platform. The MCP server is the agent-accessible layer built on top of ZoomInfo's REST API, so AI assistants can call ZoomInfo actions in natural language without writing API code. Claude, ChatGPT, and Cursor are all MCP-compatible and work with the ZoomInfo MCP server today.

How to connect ZoomInfo to Claude

Here's how to get ZoomInfo connected to your AI assistant in three steps.

Step 1: Get your ZoomInfo MCP endpoint. Visit the ZoomInfo MCP solution page to generate your MCP endpoint URL. This is the ZoomInfo MCP connector that your AI assistant will call when you ask a prospecting question.

Step 2: Connect to your AI assistant. Paste the endpoint URL into your AI assistant's settings. This works with Claude Desktop, ChatGPT, and Cursor, all three support the MCP standard and can be configured in a few clicks with no code required.

Step 3: Ask in natural language and get verified contact data. Once connected, you can type a prospecting request directly into your AI assistant.

Here's a real example: say you need VPs of Sales at Boston-based companies. You type that into Claude.

Behind the scenes, Claude:

  • Interprets your natural language query

  • Connects to ZoomInfo via the MCP server

  • Searches matching records

  • Returns the information you need, ready to use

In return, you get:

  • Full names and titles

  • Direct dial phone numbers

  • Verified email addresses

  • Company details

  • One-click links to ZoomInfo profiles

  • One-click links to LinkedIn profiles

When you see someone you want to reach, click through directly to their full ZoomInfo record or LinkedIn page, no copy-pasting required.

No exports, no tab-switching, just a qualified list in under a minute.

What you can do with ZoomInfo MCP

Once connected, ZoomInfo MCP exposes eight actions your AI assistant can call in natural language.

Action

What it does

Account Summary

Returns a structured overview of a company: size, industry, tech stack, recent news, and key contacts

Enrich Company

Fills in missing firmographic data for a company record

Enrich Contact

Adds verified contact details (email, phone, title) to an existing contact record

Enrich Company Technology

Returns technographic data for a company (requires Advanced+ or Elite+ plan)

Search for Contacts

Finds contacts matching criteria you define in natural language (title, location, company size, etc.)

Search News

Surfaces recent news articles about a company or person

Search Scoops

Returns ZoomInfo Scoops, intelligence on company events like funding rounds, leadership changes, and expansion plans

API Request (Beta)

Sends a raw API request to ZoomInfo for custom queries not covered by the named actions

Three ways GTM teams use ZoomInfo MCP today:

SDR pre-call research. Before a discovery call, an SDR asks: "Give me an account summary for Acme Corp, including recent news and key contacts in IT." ZoomInfo MCP pulls the account summary, surfaces recent scoops, and returns verified contacts in seconds, no tab-switching between LinkedIn, a news search, and a CRM lookup.

RevOps contact enrichment automation. A RevOps engineer builds a Claude agent with the prompt: "For every new account in this list, enrich the company record and find the top three contacts in Finance." The agent calls Enrich Company and Search for Contacts sequentially, writing enriched data back to the CRM without manual intervention.

Marketing scoop-based outreach. A marketing analyst asks: "Find all companies in our target segment that have had a leadership change in the last 30 days." ZoomInfo MCP queries Search Scoops and returns a trigger-based list ready for a targeted outreach sequence.

Plan note: Enrich Company Technology (technographic data) requires an Advanced+ or Elite+ ZoomInfo plan. All other actions are available on standard plans. See the ZoomInfo MCP docs for full plan-tier details.

What changes when ZoomInfo is connected

To understand why this matters, try the same prompt without ZoomInfo connected. Same LLM, same question, no data integration.

Claude will give you a list of Boston-based companies. It might surface some C-level executives from public sources. It'll probably offer some job market insights like hiring trends and industry analysis.

But instead of verified contact details, you'll be told to visit company websites or consult a verified contact data source.

That's not a problem with Claude. LLMs can only work with what they can access. Without a real-time connection to verified B2B contact data, they're limited to publicly available information, and that rarely includes the details you actually need to start a conversation.

Here's what changes when you connect to ZoomInfo:

With ZoomInfo:

  • Access to 500M contacts and 100M companies, including 120M direct-dial phone numbers and 200M+ verified business emails, in seconds

  • Direct dial phone numbers (not switchboard lines)

  • Verified, deliverable email addresses

  • Current job titles and company information

  • One-click access to full profiles

  • Ready to import into your CRM or start outreach immediately

Without ZoomInfo:

  • Generic company lists with no contact details

  • Manual research required

  • No way to verify if the information is current

  • Dead ends when you actually try to reach someone

The gap is not small. It is the difference between "here's some context" and "here's who to call, how to reach them, and what you need to know."

Seismic's sales team saved 11.5 hours per week after connecting ZoomInfo to their workflow.

Why GTM teams are connecting ZoomInfo to their AI stack

ZoomInfo is an all-in-one AI GTM Platform built on three pillars: the most comprehensive B2B data, the GTM Context Graph intelligence layer, and universal access through any tool or AI agent.

The data foundation covers 500M contacts, 100M companies, 135M+ verified phone numbers, and 200M+ verified business emails, continuously verified through a multi-source pipeline backed by 300+ human researchers, with up to 95% accuracy on first-party data. When you ask ZoomInfo MCP for a list of VPs of Sales in Boston, you're not getting scraped LinkedIn data or a cached export, you're getting records that have been checked and rechecked against primary sources.

The GTM Context Graph processes 1.5B+ data points daily, fusing ZoomInfo's B2B data with CRM records, conversation intelligence, and behavioral signals, so AI can reason about why deals move, not just what happened. That's the layer that makes ZoomInfo MCP categorically different from a middleware connector that simply routes queries to a static database.

For teams composing their own AI stack, universal access means delivering the same 500M contacts and real-time signals through a single API, so whether you're building on Claude, ChatGPT, Cursor, or a custom agent, you're working from the same verified foundation.

Here's what that means in practice for GTM teams:

  • Speed: What once took hours now takes seconds, verified contacts, direct dials, and account context delivered in a single natural-language query.

  • Accuracy: 500M contacts verified through a multi-source pipeline backed by 300+ human researchers, with up to 95% accuracy on first-party data.

  • Efficiency: No more toggling between tools or turning to manual enrichment because you can't trust that the data is current.

Ready to connect ZoomInfo to your AI assistant? Request a demo or explore the ZoomInfo MCP solution page.

Data compliance and ZoomInfo MCP

Enterprise and European buyers evaluating ZoomInfo MCP often have data governance questions before connecting a third-party data source to their AI stack. Here's what you need to know:

  • Certifications: ZoomInfo holds ISO 27001, ISO 27701, SOC 2 Type II, and TRUSTe GDPR/CCPA certifications, covering information security management, privacy information management, and cross-border data compliance.

  • Data sourcing: ZoomInfo's B2B data is built on a multi-source verification pipeline maintained by 300+ human researchers, with a consent framework governing how contact data is collected, verified, and updated.

  • Endpoint security: MCP connections use authenticated, session-scoped endpoints, so data in transit is secured and access is tied to your ZoomInfo credentials.

For enterprise security reviews, ZoomInfo's compliance documentation is available at zoominfo.com.

Frequently asked questions

Does ZoomInfo have an MCP server?

Yes. ZoomInfo publishes a native ZoomInfo MCP server that connects AI assistants like Claude, ChatGPT, and Cursor directly to ZoomInfo's B2B data platform. The MCP server exposes eight ZoomInfo actions, including contact enrichment, account summaries, and scoops, that AI assistants can call in natural language without writing API code.

What is the difference between ZoomInfo's API and MCP?

ZoomInfo's REST API is the underlying data access layer, it supports programmatic queries for contact enrichment, company lookup, intent data, and technographics. The MCP server is built on top of the API and exposes those same capabilities to AI assistants through the Model Context Protocol standard, so tools like Claude can call ZoomInfo actions in natural language without writing API code.

Which AI assistants are compatible with ZoomInfo MCP?

ZoomInfo MCP is compatible with any AI assistant that supports the Model Context Protocol standard, including Claude, ChatGPT, and Cursor. The connection is configured by adding the ZoomInfo MCP endpoint URL in your AI assistant's settings. No code is required for non-technical users.

Is ZoomInfo MCP GDPR-compliant?

ZoomInfo holds ISO 27001, ISO 27701, SOC 2 Type II, and TRUSTe GDPR/CCPA certifications. Data accessed through the ZoomInfo MCP server is subject to the same consent framework and data governance standards as ZoomInfo's core platform. Enterprise buyers with specific security review requirements can access ZoomInfo's compliance documentation at zoominfo.com.

Can ZoomInfo MCP replace manual prospecting research?

For most prospecting research tasks, yes. ZoomInfo MCP lets sellers ask for account summaries, contact details, and buying signals in natural language and get verified results in seconds rather than toggling between multiple tools. Seismic's sales team saved 11.5 hours per week after connecting ZoomInfo to their workflow, time that previously went to manual research and data cleanup.