MCP Server for Snowflake is a free, self-hosted solution that gives AI tools access to live Snowflake data. It provides a natural-language interface for navigating warehouse content and investigating data without developing a custom AI-to-warehouse integration.
Devart MCP Server for Snowflake connects AI assistants and agents to Snowflake through the Model Context Protocol (MCP). This free, self-hosted solution allows AI tools to query warehouse data, explore database structures, and analyze information using natural-language requests without requiring a custom AI-to-Snowflake integration.
Under the hood, MCP Server uses Devart ODBC Driver for Snowflake to connect to Snowflake and provide structured access to data and metadata. The driver handles database connectivity and query execution, while MCP Server processes requests from AI clients and returns the requested results.
Connecting AI to Snowflake through MCP turns a conventional AI chat into a practical way of working with live warehouse data. It is much faster than manual data export or SQL querying.
Retrieve data, inspect schemas, and investigate issues in the most natural and convenient way.
MCP Server for Snowflake gives teams a natural-language interface to warehouse data for analysis, development, performance investigation, validation, and controlled AI access.
How MCP Server for Snowflake helps
Devart MCP Server for Snowflake gives teams a more practical way to bring AI into data workflows — with secure deployment, easier setup, and less custom integration work.
Keep AI-to-data access inside your environment with a secure, controlled Snowflake MCP layer.
Start faster with a ready MCP Server instead of building and maintaining a custom integration from scratch.
Connect Claude, VS Code, Cursor, Codex, and other MCP-compatible tools to Snowflake with less friction.
The MCP Server is free — no license key, no activation, no expiry. It connects through Devart ODBC Driver for Snowflake, which is licensed separately.
Support analysis, troubleshooting, investigation, and plain-language access across everyday data work.
Adopt Snowflake AI workflows with expert product guidance and dedicated support throughout setup and rollout.
Use an existing DSN or create a custom Snowflake connection.
Integrate Claude, VS Code, Cursor, Codex, or another compatible MCP tool.
Begin querying your Snowflake data in natural language through the MCP layer.
Download and set up the free, self-hosted MCP Server to securely connect your AI tools to Snowflake and start asking questions in plain language.
Data engineers, analytics engineers, analysts, and architects who work with Snowflake and need to understand warehouse data and workloads without writing SQL for every request. They can use natural-language queries to explore databases, schemas, tables, views, and semi-structured data, inspect query history and warehouse usage, investigate clustering and query performance, and get the context they need when developing, troubleshooting, or optimizing data workloads.
BI, finance, and operations teams that need answers from Snowflake in plain language, without waiting on queries or dashboards.
Teams creating analytics copilots, data agents, or automated workflows that use Snowflake warehouse data to answer questions, investigate datasets, and support data-driven tasks.
MCP Server for Snowflake is a self-hosted solution that connects AI assistants and agents to Snowflake through the Model Context Protocol (MCP). It provides a standard interface for querying warehouse data, exploring database structures, and analyzing information through natural-language requests.
AI clients send MCP tool calls to the server, which accesses Snowflake through Devart ODBC Driver for Snowflake. MCP Server performs the requested database operations using the configured Snowflake connection and returns structured results to the AI client.
Yes. AI assistants can query current warehouse data, explore databases, schemas, tables, and views, and work with semi-structured data. They can also examine query history when the required information is available through the configured connection.
MCP Server runs in your environment and uses the Snowflake connection you configure. Snowflake roles and privileges determine which databases, schemas, objects, and operations are available through that connection, giving you control over AI access.
Yes. MCP Server for Snowflake is free to download and use, with no license key, activation, or expiration. Snowflake connectivity is provided through Devart ODBC Driver for Snowflake, which is licensed separately and includes a 30-day trial.
AI assistants can explore databases and schemas, query large datasets, examine views, work with semi-structured data, analyze available query history and warehouse information, and perform ad-hoc analysis and reporting.
Yes. AI can query data stored in VARIANT columns, work with nested JSON structures, and use Snowflake functions such as FLATTEN when appropriate. This makes semi-structured data available for the same natural-language analysis as relational data.
Yes, when the configured Snowflake connection has access to the required metadata. AI can analyze available query history, execution times, and warehouse usage data to help investigate expensive or resource-intensive workloads.
Yes. Queries are executed through your configured Snowflake connection and use the Snowflake compute resources associated with it. MCP Server handles the interaction with the AI client and returns the query results.
You can use MCP Server for Snowflake with Claude, Visual Studio Code, Cursor, Codex, Windsurf, Cline, Zed, and other clients that support MCP. This gives teams the flexibility to work with Snowflake from different AI development and analysis environments.
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