Skip to main content
Glama
tushar3006

Snowflake MCP Server

by tushar3006

list_tables

Retrieve all tables within a specified database and schema to explore database structure and identify available data sources.

Instructions

List all tables in a specific database and schema

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
databaseYesDatabase name
schemaYesSchema name

Implementation Reference

  • The handler function that implements the list_tables tool logic: validates input, constructs SQL query to list tables from information_schema.tables in the given database.schema, applies table exclusion filters, formats output as YAML text and JSON embedded resource.
    async def handle_list_tables(arguments, db, *_, exclusion_config=None):
        if not arguments or "database" not in arguments or "schema" not in arguments:
            raise ValueError("Missing required 'database' and 'schema' parameters")
    
        database = arguments["database"]
        schema = arguments["schema"]
    
        query = f"""
            SELECT table_catalog, table_schema, table_name, comment 
            FROM {database}.information_schema.tables 
            WHERE table_schema = '{schema.upper()}'
        """
        data, data_id = await db.execute_query(query)
    
        # Filter out excluded tables
        if exclusion_config and "tables" in exclusion_config and exclusion_config["tables"]:
            filtered_data = []
            for item in data:
                table_name = item.get("TABLE_NAME", "")
                exclude = False
                for pattern in exclusion_config["tables"]:
                    if pattern.lower() in table_name.lower():
                        exclude = True
                        break
                if not exclude:
                    filtered_data.append(item)
            data = filtered_data
    
        output = {
            "type": "data",
            "data_id": data_id,
            "database": database,
            "schema": schema,
            "data": data,
        }
        yaml_output = data_to_yaml(output)
        json_output = json.dumps(output)
        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"),
            ),
        ]
  • Input schema definition for list_tables tool specifying required 'database' and 'schema' string parameters.
        "type": "object",
        "properties": {
            "database": {"type": "string", "description": "Database name"},
            "schema": {"type": "string", "description": "Schema name"},
        },
        "required": ["database", "schema"],
    },
  • Tool registration object creation for list_tables, including name, description, input schema, and reference to the handler function. Added to the all_tools list used by list_tools and call_tool handlers.
    Tool(
        name="list_tables",
        description="List all tables in a specific database and schema",
        input_schema={
            "type": "object",
            "properties": {
                "database": {"type": "string", "description": "Database name"},
                "schema": {"type": "string", "description": "Schema name"},
            },
            "required": ["database", "schema"],
        },
        handler=handle_list_tables,
    ),

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/tushar3006/MCP'

If you have feedback or need assistance with the MCP directory API, please join our Discord server