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Data warehouse connector

Snowflake answers in Claude and ChatGPT, governed by your semantic layer.

Snowflake offers a managed MCP server that can expose Cortex Analyst, Cortex Search, Cortex Agents, SQL execution, and your own functions as tools. The hard work is the semantic views and roles behind it. That is where we focus.

What your team could ask

  • What was net revenue by region last quarter, using our finance definitions?
  • Which product lines had the biggest change in gross margin month over month?
  • Find support tickets mentioning delivery delays in the last 30 days and summarize themes.
  • How many active customers do we have today, by segment?

What it could do, with approval

Write actions are optional. Each one is shown to a person before it changes anything.

  • Save a reviewed query as a shared view for the analytics team
  • Log a data quality issue to a tracking table for the data team

What already exists for Snowflake

Checked against vendor and platform sources on October 23, 2026. If an official option covers your need, use it.

Snowflake documents a Snowflake-managed MCP server, created with CREATE MCP SERVER, that serves Cortex Analyst, Cortex Search, Cortex Agents, SQL execution, and custom tools without separate infrastructure. The older Snowflake-Labs community MCP server is deprecated in favor of it.

  • Covers: governed access to Snowflake objects as MCP tools, with Snowflake roles.
  • Requires: semantic views, search services, and agents to be designed and maintained.
  • Does not cover: systems outside Snowflake that answers also depend on.

Why build a custom one

  • The semantic layer decides accuracy

    Good answers depend on semantic views that define revenue, customers, and periods the way your finance team does. We build and test those.

  • Roles and cost control

    We set least-privilege roles and warehouse sizing so AI questions do not see restricted data or run up compute.

  • Beyond the warehouse

    When an answer also needs a live CRM or ERP record, a custom MCP server can combine Snowflake with that system.

How we would build it

API
Snowflake-managed MCP server with Cortex Analyst semantic views, Cortex Search services, and Cortex Agents; SQL API for custom tools.
Sign-in
OAuth 2.0 through Snowflake, with each user mapped to a role, or key-pair auth for service-only jobs.
  1. Agree the metrics and their definitions with finance and analytics.

  2. Build semantic views and search services, and test them against known answers.

  3. Create the MCP server and grant least-privilege roles.

  4. Connect Claude or ChatGPT and monitor accuracy and credit use.

Questions we get

Sources

Vendor products and plan rules change often. Check the linked pages before you plan a rollout.

Want a Snowflake connector built for your team?

Bring the questions your team asks and the systems behind them. We will come back with a written scope and a fixed price.

Book a scoping call