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tushar3006

Snowflake MCP Server

by tushar3006

read_query

Execute SELECT queries on Snowflake databases to retrieve and analyze data for reporting and insights.

Instructions

Execute a SELECT query.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesSELECT SQL query to execute

Implementation Reference

  • The handler function that implements the logic for the read_query tool. It validates the input, checks for write operations using write_detector, executes the query on the Snowflake database, formats the output as YAML and JSON, and returns it as TextContent and EmbeddedResource.
    async def handle_read_query(arguments, db, write_detector, *_): if not arguments or "query" not in arguments: raise ValueError("Missing query argument") if write_detector.analyze_query(arguments["query"])["contains_write"]: raise ValueError("Calls to read_query should not contain write operations") data, data_id = await db.execute_query(arguments["query"]) output = { "type": "data", "data_id": data_id, "data": data, } yaml_output = data_to_yaml(output) json_output = json.dumps(output, default=data_json_serializer) return [ types.TextContent(type="text", text=yaml_output), types.EmbeddedResource( type="resource", resource=types.TextResourceContents(uri=f"data://{data_id}", text=json_output, mimeType="application/json"), ), ]
  • The input schema for the read_query tool, defining it as an object with a required 'query' property of type string describing the SELECT SQL query.
    input_schema={ "type": "object", "properties": {"query": {"type": "string", "description": "SELECT SQL query to execute"}}, "required": ["query"], },
  • The registration of the read_query tool in the all_tools list, specifying its name, description, input schema, and handler function.
    Tool( name="read_query", description="Execute a SELECT query.", input_schema={ "type": "object", "properties": {"query": {"type": "string", "description": "SELECT SQL query to execute"}}, "required": ["query"], }, handler=handle_read_query, ),

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