✨
OpenAI Agents SDK
Free
How to Install Snowflake MCP in OpenAI Agents SDK
Official Snowflake integration — query data, manage warehouses, and inspect pipelines through AI
What Snowflake MCP does
The official Snowflake MCP server gives AI agents access to your data warehouse. It can query tables, inspect schemas, manage warehouses, and surface analytics insights. Features: - Execute SQL queries and return structured results - Inspect schemas, tables, and views - Manage warehouses and compute usage - Access query history and performance metrics - Create and manage tasks and streams - Query external tables and shares - Integrate with BI workflows Snowflake MCP is designed for analytics teams who want AI to work directly with enterprise data.
snowflake
data-warehouse
analytics
sql
warehouse
Installation steps
- 1Install: pip install openai-agents
- 2Copy the snippet below into your agent code
- 3Replace placeholder env values with your real keys
- 4Pass mcp_servers=[mcp_server] to your Agent()
Python snippet
Python snippetpython
from agents import Agent
from agents.mcp import MCPServerStdio
mcp_server = MCPServerStdio(
command="npx",
args=["-y", "@snowflake/mcp"],
env={
"SNOWFLAKE_ACCOUNT": "xyz12345",
"SNOWFLAKE_USER": "your_user",
"SNOWFLAKE_ROLE": "ANALYST",
"SNOWFLAKE_WAREHOUSE": "COMPUTE_WH",
},
)
agent = Agent(
name="My Agent",
model="gpt-4o",
mcp_servers=[mcp_server],
)Install in other clients
For maintainers
If you maintain Snowflake MCP, add this badge to your README to show it's verified on CuratedMCP:
[](https://curatedmcp.com/marketplace/snowflake-mcp)