Your snapshot
Snowflake's score and Cloud Data Warehouses & Query Engines position
Retrieve both structured and unstructured data
Description
Snowflake MCP server can be used to securely and easily retrieve both structured and unstructured data from your Snowflake account. You can use natural language to execute SQL queries, making analytics accessible to all including business users. With support for Cortex Agents, the Snowflake MCP server empowers teams to unlock deep insights from their data.
The Primary Subcategory used for this profile’s headline score.
Other Subcategories where the Integration is listed.
Get updates when Snowflake’s Discoverability Score or category rank changes.
Claude Discoverability Score
Live · refreshed daily. Last refreshed#5of 18competitors
Shown to buyers in 21.3% of contested Runs.
One core score. Three important factors to discoverability.
Snowflake organic discovery report
See how Snowflake appears in Cloud Data Warehouses & Query Engines, where it ranks, and how it compares with the wider Claude Connector ecosystem.
Your snapshot
Snowflake's score and Cloud Data Warehouses & Query Engines position
Industry report
State of Agent Discovery
30-day industry report
The levers are the listing surface agents actually read: names, descriptions, keywords, tool metadata, and registry health. Which lever matters depends on where discovery breaks, which is what continuous measurement shows.
As of 2026-09-29, Snowflake competes with Omni Analytics, Polar Analytics, Google Cloud BigQuery, dbt, Amplitude, DataHub, Mixpanel, Supabase, Aleph, PostHog, Supermetrics Marketing Analytics, Datadog, Neon, Databricks Genie, MotherDuck, Dremio Cloud, Soracom Query in Claude Cloud Data Warehouses & Query Engines, ranked by public Discoverability Score.
As of 2026-09-29, Snowflake ranks #5 of 18 in Claude Cloud Data Warehouses & Query Engines with a Discoverability Score of 21/100 (Buried).
This profile uses the geography attached to the latest public registry snapshot: US. Locale tags are intentionally omitted.