Enriching Company Data Directly Inside Claude Using ZoomInfo’s MCP

Data EnrichmentArtificial Intelligence

Can you connect Claude to ZoomInfo?

Yes. You can connect Claude to ZoomInfo through the ZoomInfo MCP server, which is listed in the Claude connector directory. Once connected, Claude can enrich company and contact records, build prospecting lists, and pull verified firmographics in real time, without switching tabs or exporting files. ZoomInfo is an all-in-one AI GTM Platform, and the Claude connector is one of the access lanes that makes its B2B intelligence available wherever you work.

This article walks through what the connector is, how to set it up, and what your team can do with it once it's running.

ZoomInfo vs. Zoom: not the same connector

ZoomInfo and Zoom are two different products. ZoomInfo is an all-in-one AI GTM Platform for B2B contact and company data. Zoom is a video conferencing platform. If you searched for the ZoomInfo Claude connector and landed here, you're in the right place. If you're looking for Zoom's Claude connector (a separate product for meeting recordings), see Zoom's developer documentation.

What MCP is and why it matters for ZoomInfo

MCP, or Model Context Protocol, is the protocol that lets Claude reach outside its own knowledge and pull live data from tools like ZoomInfo in real time, without copy-pasting or context switching. Unlike a Zapier zap that runs on a trigger, MCP lets Claude fetch ZoomInfo data on demand, mid-conversation.

The architecture works like this: Claude orchestrates the workflow, ZoomInfo's MCP server securely retrieves authoritative company and contact data, and the result is returned directly in the conversation. You don't leave Claude to get the data. ZoomInfo is listed in the Claude MCP directory and is supported by Anthropic Claude and Google, so the connector is officially recognized, not a workaround.

What makes the data authoritative is what sits behind it. The GTM Context Graph processes 1.5B+ data points daily, fusing ZoomInfo's B2B data with behavioral signals and conversation intelligence into a continuously refreshed reasoning layer. When Claude pulls company data through the MCP connection, it's not querying a static lookup table. It's drawing from an intelligence layer that updates continuously.

How to connect ZoomInfo to Claude: step-by-step setup

Connecting ZoomInfo to Claude takes a few minutes and requires no code. Here's how to get the ZoomInfo Claude connector running:

  1. Confirm prerequisites. You need an active ZoomInfo subscription and a Claude account that supports connectors. API access is included in relevant ZoomInfo plans, no separate SKU or additional purchase is required. If you're unsure whether your plan includes API access, check with your ZoomInfo account team before starting.

  2. Locate the ZoomInfo connector in Claude. Inside Claude, navigate to the Connectors section. Search for ZoomInfo. The connector appears in the directory because ZoomInfo is a listed MCP provider.

  3. Authenticate with your ZoomInfo credentials. Select the ZoomInfo connector and follow the OAuth authorization flow. Claude will request permission to access your ZoomInfo account. Approve the connection. No custom auth configuration is required, the connector uses standard OAuth, which aligns with enterprise security requirements.

  4. Run a first query. Once authenticated, type a plain-language prompt directly in Claude. For example: "Enrich these companies with employee headcount, revenue, and headquarters location." You can paste a list of company names and websites directly into the conversation.

  5. Validate the returned data. Claude returns structured enrichment results directly in the conversation window. Review the output for completeness. No export step is required to see the data, it's available immediately in the conversation.

Starting with a basic company file

Inside Claude, you begin by uploading a simple CSV file. That file contains only two columns: company name and company website. There's no employee data, revenue, headquarters details, or funding information.

This is the reality for most go-to-market teams. You have a starting point, but it's incomplete. To prioritize, route, segment, or analyze those accounts, you need richer context. That process of appending missing attributes to raw records is the core of data enrichment, and it is what makes a sparse list actionable.

Instead of exporting the file and running enrichment somewhere else, you stay directly inside Claude.

Requesting enrichment from ZoomInfo

Once the file is uploaded, you prompt Claude to enrich the companies using ZoomInfo. Specifically, you ask for employee headcount, revenue, headquarters city and state, last funding date, and total funding raised.

Claude extracts the company names and websites from the CSV. Then, behind the scenes, it initiates a request to ZoomInfo using our MCP server. That request is sent directly into ZoomInfo's systems, the companies are matched, and the enrichment process begins.

What's happening in real time is important. Claude is not guessing or hallucinating data. It is calling ZoomInfo through the MCP connection, retrieving authoritative company records, and bringing that information back into the workflow.

As the process runs, Claude compiles the enriched results into a clean CSV and Excel file. The output includes the original company name and website, along with the newly appended fields for headcount, revenue, headquarters location, last funding date, and total funding.

In this demo, the dataset was fully enriched in under a minute.

The output: a fully enriched file

On the right side of the Claude interface, you can see the updated table. Employee headcount is now populated. Revenue is filled in. Headquarters city and state are included. Funding data is added directly into the columns.

From there, you can download the file as an Excel document and immediately use it for segmentation, prioritization, routing, or analysis.

There's no batch processing delay, no context switching, and no need for a separate enrichment platform. It all happens inside the same environment where you're already thinking and working.

What you can do with the ZoomInfo Claude connector

The connector isn't limited to one workflow or one team. Here's how different functions use it today.

For sales reps

Prospecting list building. Ask Claude: "Find contacts at these 20 target accounts who hold VP or Director titles in Sales or Marketing." Claude queries ZoomInfo and returns a structured list with names, titles, and verified contact details. You skip the manual search and get a prioritized list ready for outreach.

Contact enrichment. Upload a list with names and company names. Prompt Claude to return verified emails and direct-dial phone numbers for each contact. The output is ready to import into your CRM or sequencing tool.

For marketing and demand gen

ICP enrichment for campaign targeting. Upload a segment of accounts and ask Claude to append employee headcount, revenue range, and industry. With those firmographics, you can refine audience targeting before a campaign launches rather than after.

Account research for ABM. Ask Claude to pull headcount, revenue, and headquarters location for a named account list. The enriched output gives your ABM team the context to personalize outreach without manual research across multiple tools.

For RevOps and GTM engineers

Pipeline data hygiene. Prompt Claude to enrich CRM records with missing firmographic fields. Instead of running a separate enrichment job and waiting for a file, the updated data comes back in the conversation and can be exported immediately.

Routing-ready firmographic appends. Ask Claude to append headquarters city, state, and employee count to a list of accounts. With those fields populated, routing logic can run correctly without manual cleanup.

You can ask Claude to enrich company or contact lists using ZoomInfo's MCP connection across any of these workflows. The process is the same whether you're enriching 10 accounts or 10,000.

The data behind every one of these use cases is verified and continuously refreshed. ZoomInfo has 500M contacts, 135M+ verified phone numbers, and 200M+ verified business emails. Generic automation connectors can move data between systems, but they don't address data freshness or accuracy. The ZoomInfo connector brings verified, production-grade B2B data into Claude, not a cached snapshot.

The bigger opportunity: ZoomInfo anywhere

The most powerful part of this workflow isn't just that it works inside Claude. It's that the MCP servers and APIs we've built are portable.

You can bring this workflow into ChatGPT. You can bring it into Gemini. You can integrate it into your own internally built applications. You can embed it into your CRM or connect it to your marketing automation platform. ZoomInfo's data, insights, and enrichment capabilities can follow you anywhere across your application stack.

That portability is the core design of the GTM Context Graph: the same B2B intelligence, available to any agent or application you build, without requiring a new interface.

ZoomInfo's platform brings together comprehensive B2B data, the GTM Context Graph intelligence layer, and universal access through APIs and MCP, so the same verified intelligence that powers ZoomInfo's own products is available wherever you build.

The LLM provides the interface and orchestration, and ZoomInfo provides the trusted data layer. Together, they eliminate the friction between idea and execution.

Enrichment in under a minute

In this demo, the full company enrichment process takes around 45 seconds. A raw CSV goes in, and a fully enriched Excel file comes out.

By coupling the power of a large language model with ZoomInfo's MCP infrastructure, you now have rich, authoritative company data available anywhere you work. Enrichment is no longer a separate workflow. It's embedded directly into your AI environment.

Ready to bring verified B2B data into your AI workflows? Request a demo to see the ZoomInfo Claude connector in action.

Frequently asked questions

Can you connect Claude to ZoomInfo?

Yes, via the ZoomInfo MCP server, which is listed in the Claude connector directory. Once connected, you can ask Claude to enrich company or contact data, build prospecting lists, and pull verified firmographics in real time, without switching tabs or exporting files. No code is required to activate the connector.

What data can ZoomInfo enrich via the Claude connector?

The ZoomInfo Claude connector can enrich both company and contact records. For companies: employee headcount, revenue, headquarters city and state, last funding date, and total funding raised. For contacts: name, title, verified email, and direct-dial phone number. ZoomInfo's database covers 500M contacts and 100M companies, with data verified by 300+ human researchers.

Does the ZoomInfo Claude connector work with ChatGPT and Gemini?

Yes. ZoomInfo's MCP server and APIs are portable across LLM environments. The same workflow that runs inside Claude can be brought into ChatGPT, Gemini, or any internally built application. ZoomInfo's data and enrichment capabilities are designed to follow you across your AI and application stack, not lock you into a single interface.

Do I need to write code to use the ZoomInfo Claude connector?

No code is required. You activate the connector through Claude's Connectors interface, authenticate with your ZoomInfo credentials via OAuth, and then interact with ZoomInfo data using plain-language prompts. API access is included in relevant ZoomInfo plans, with no separate purchase or SKU negotiation required.

How does ZoomInfo handle data privacy and security for the Claude connector?

ZoomInfo holds ISO 27001, ISO 27701, SOC 2 Type II, and TRUSTe GDPR/CCPA certifications, all independently audited and renewed annually. The ZoomInfo MCP connection uses OAuth authentication, which aligns with enterprise security requirements without proprietary auth schemes. Compliance documentation is available upfront to support enterprise security review.


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