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.
Find high-fit companies and decision-makers
ZoomInfo MCP allows AI systems to identify target companies and decision-makers using natural language inside the tools your team already uses.
For example, a rep can ask:
“Find publicly listed tech companies in the U.S. with over $1B in revenue that sell primarily to revenue operations and sales leadership.”
Find ICP-fit companies based on revenue, industry, headcount, or go-to-market focus
Identify specific roles at target accounts and retrieve verified business contact details

Dynamic data enrichment
ZoomInfo MCP enables real-time enrichment directly within AI workflows. Teams can upload company lists, request specific business attributes, and receive structured outputs without building separate enrichment workflows.
Append employee headcount, revenue, funding data, headquarters, and other company attributes
Add verified contact details, including business emails and direct dials
Return enriched CSV or structured outputs ready for CRM or operational use

AI-native data access across tools
ZoomInfo MCP extends B2B intelligence beyond the ZoomInfo interface. AI models can access company and contact data inside LLMs, internal applications, CRM processes, and marketing workflows, enabling teams to apply intelligence immediately.
Connect ZoomInfo data to Claude, GPT-based systems, or custom AI agents
Support CRM updates and automated routing with structured company data
Power AI-driven prioritization and workflow logic without maintaining separate data pipelines

See ZoomInfo MCP in action
Bring structured B2B intelligence into your AI workflows.
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.
