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ZoomInfo launches New MCP Connector and API on Snowflake

Business Wire

Customers can now use verified ZoomInfo company, contact, intent, and Scoops data inside Snowflake CoWork, Cortex Agents, and their own warehouse pipelines.

VANCOUVER, Wash., October 30, 2026--ZoomInfo (NASDAQ: GTM), the all-in-one AI GTM platform, has confirmed that ZoomInfo MCP and the ZoomInfo API are now available in Snowflake, the AI Data Cloud. Business users can ask questions of ZoomInfo data in natural language inside Snowflake CoWork, and data teams can enrich Snowflake tables in real time or in bulk. Both connections run through GTM.AI, ZoomInfo's headless GTM context layer.

ZoomInfo Intelligence Now Available Inside Snowflake CoWork

ZoomInfo MCP connects to Snowflake CoWork and Cortex Agents as an MCP connector. Once it is connected, a Cortex agent can search, enrich, and research companies and contacts from ZoomInfo's GTM Context Graph, which covers more than 100 million companies, 500 million contacts, and billions of signals. It returns that context alongside the customer's own Snowflake data in a single cited answer.

For data teams, the ZoomInfo API adds programmatic access to Search, Enrich, Lookup, Bulk, and Monitoring endpoints from Snowflake Tasks, Streams, Snowpark pipelines, and external functions. Bulk enrichment handles up to 10,000 records per request and 200,000 records per query. Both connections extend ZoomInfo's existing Data Cubes on Snowflake Marketplace, which deliver company, contact, intent, hierarchy, and IP datasets into a customer's Snowflake account on a schedule.

The integration supports work across sales, operations, and data teams:

  • Account research: A seller asks CoWork to summarize account health and flag recent leadership changes. Seller's internal usage data in Snowflake is combined with ZoomInfo Scoops and Account Research in one answer.

  • Buying-committee mapping: Agents find missing stakeholders on open opportunities with verified titles and contact details.

  • Real-time lead enrichment: New records landing in a Snowflake staging table are enriched on arrival, so scoring and routing models run on complete data.

  • Bulk CRM backfill: Nightly Bulk API jobs keep firmographic and technographic fields current across every account in the warehouse.

  • Signal-driven scoring: Intent and Scoops data feed propensity models built in Snowpark.

  • Change detection: Monitoring API webhooks refresh only the Snowflake rows whose ZoomInfo records have changed.

"An agent is only as useful as the context it can reach," said Dennis Sevilla, Chief Strategy Officer at ZoomInfo. "Snowflake customers already keep their pipeline, usage, and account history in Snowflake. GTM.AI adds the outside view: 100 million companies, 500 million contacts, and billions of signals, under the same permissions teams use in ZoomInfo today. So an agent in Snowflake CoWork can tell a rep what changed at an account, not just what was logged last quarter."

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