Add support for multiple ClickHouse configurations

Author: ZLBillShaw

mcp_clickhouse/mcp_server.py

@@ -18,55 +18,7 @@
 from starlette.responses import PlainTextResponse
 
 from mcp_clickhouse.mcp_env import get_config, get_all_configs, get_mcp_server_config, get_chdb_config
-
-# chDB prompt content
-CHDB_PROMPT = """
-chDB is an in-process SQL OLAP Engine powered by ClickHouse.
-
-Features:
-- Fast columnar data processing
-- Standard SQL support
-- No need for a separate server
-- Supports various data formats (CSV, JSON, Parquet, etc.)
-- Can work with local files and remote data sources
-
-Common usage patterns:
-
-1. Basic query:
-   SELECT * FROM table LIMIT 10
-
-2. Working with CSV data:
-   SELECT * FROM file('data.csv', 'CSV', 'col1 String, col2 Int32')
-
-3. Aggregations:
-   SELECT count(), avg(column_name) FROM table
-
-4. Data analysis:
-   SELECT 
-     column1,
-     count() as count,
-     sum(column2) as total
-   FROM table
-   GROUP BY column1
-   ORDER BY count DESC
-
-5. Time series analysis:
-   SELECT 
-     toDate(timestamp) as date,
-     count() as events
-   FROM table
-   GROUP BY date
-   ORDER BY date
-
-Tips:
-- Use LIMIT for large datasets to avoid overwhelming output
-- Leverage ClickHouse's built-in functions for data processing
-- chDB supports most ClickHouse SQL features
-- Data types are automatically inferred when possible
-- Use proper column types for better performance
-
-For more complex queries, refer to ClickHouse documentation as chDB is compatible with ClickHouse SQL syntax.
-"""
+from mcp_clickhouse.chdb_prompt import CHDB_PROMPT
 
 
 @dataclass