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feat(api-converter): 添加进销存采购订单API配置并实现本地缓存机制

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新增api_config_9p04kww1pu.json配置文件，包含进销存采购订单相关的四个核心
API接口（查询列表、新建、详情、编辑），完善了load_api_configs函数，
增加本地文件缓存机制，支持从本地文件加载配置并在配置变更时同步保存，
优化refresh_api_configs函数以同步清理本地文件缓存。

BREAKING CHANGE: API配置方式调整，引入本地缓存机制可能影响原有部署流程
This commit is contained in:
yuanzhipeng
2026-02-07 15:48:01 +08:00
parent 41c3d7a8fd
commit e18c661368
35 changed files with 2375 additions and 362 deletions
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2025-12-31 12:57:27 - root - INFO - [logger_config.py:151] - 日志系统初始化完成 - 日志目录: E:\yh-ai\project\lzwcai-szyg\lzwcai-mcp-server-package\lzwcai_mcp_sqlexecutor\lzwcai_mcp_sqlexecutor\logs
2025-12-31 12:57:27 - root - INFO - [logger_config.py:152] - 日志配置 - 级别: INFO, 文件大小限制: 10MB, 备份数量: 5
2025-12-31 12:57:27 - mcp_services - INFO - [main.py:347] - 开始运行 MCP SQL Executor 服务器
2025-12-31 12:57:27 - mcp_services - INFO - [main.py:299] - ============================================================
2025-12-31 12:57:27 - mcp_services - INFO - [main.py:300] - 正在启动 MCP 服务器: lzwcai-mcp-sqlexecutor
2025-12-31 12:57:27 - mcp_services - INFO - [main.py:301] - 版本: 0.1.0
2025-12-31 12:57:27 - mcp_services - INFO - [main.py:302] - ============================================================
2025-12-31 12:57:27 - mcp_services - INFO - [main.py:306] - 环境配置 - Database ID: 16
2025-12-31 12:57:27 - mcp_services - INFO - [main.py:307] - 环境配置 - Skill ID:
2025-12-31 12:57:27 - mcp_services - INFO - [main.py:308] - 环境配置 - Backend Base URL: http://192.168.11.24:8088
2025-12-31 12:57:27 - mcp_services - INFO - [main.py:309] - ============================================================
2025-12-31 12:57:27 - mcp_services - INFO - [main.py:314] - MCP 服务器已启动，等待客户端连接...
2025-12-31 12:57:28 - mcp.server.lowlevel.server - INFO - [server.py:619] - Processing request of type ListToolsRequest
2025-12-31 12:57:28 - mcp_services - INFO - [main.py:156] - 收到列出工具请求
2025-12-31 12:57:28 - mcp_services - INFO - [main.py:119] - 初始化查询配置（数据源: api）...
2025-12-31 12:57:28 - mcp_services - INFO - [main.py:278] - 调用第三方API，skill_id:
2025-12-31 12:57:28 - lzwcai_mcp_sqlexecutor.utils.api_client - INFO - [api_client.py:71] - 正在调用API: http://192.168.11.24:8088/datasource/skill/getBySkillId/
2025-12-31 12:57:29 - httpx - INFO - [_client.py:1025] - HTTP Request: GET http://192.168.11.24:8088/datasource/skill/getBySkillId/ "HTTP/1.1 404 "
2025-12-31 12:57:29 - lzwcai_mcp_sqlexecutor.utils.api_client - ERROR - [api_client.py:97] - API请求失败 (HTTP 404): http://192.168.11.24:8088/datasource/skill/getBySkillId/
2025-12-31 12:57:29 - lzwcai_mcp_sqlexecutor.utils.api_client - ERROR - [api_client.py:98] - 错误响应: {"timestamp":"2025-12-31T12:57:30.248+08:00","status":404,"error":"Not Found","path":"/datasource/skill/getBySkillId/"}
2025-12-31 12:57:29 - mcp_services - ERROR - [main.py:292] - API调用失败: API请求失败 (HTTP 404): http://192.168.11.24:8088/datasource/skill/getBySkillId/
Traceback (most recent call last):
File "E:\yh-ai\project\lzwcai-szyg\lzwcai-mcp-server-package\lzwcai_mcp_sqlexecutor\lzwcai_mcp_sqlexecutor\utils\api_client.py", line 80, in get_skill_by_id
response.raise_for_status()
File "D:\anaconda3\Lib\site-packages\httpx\_models.py", line 829, in raise_for_status
raise HTTPStatusError(message, request=request, response=self)
httpx.HTTPStatusError: Client error '404 ' for url 'http://192.168.11.24:8088/datasource/skill/getBySkillId/'
For more information check: https://developer.mozilla.org/en-US/docs/Web/HTTP/Status/404
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "E:\yh-ai\project\lzwcai-szyg\lzwcai-mcp-server-package\lzwcai_mcp_sqlexecutor\lzwcai_mcp_sqlexecutor\main.py", line 281, in call_third_party_api
raw_result = get_skill_by_id(skill_id)
^^^^^^^^^^^^^^^^^^^^^^^^^
File "E:\yh-ai\project\lzwcai-szyg\lzwcai-mcp-server-package\lzwcai_mcp_sqlexecutor\lzwcai_mcp_sqlexecutor\utils\api_client.py", line 208, in get_skill_by_id
return default_client.get_skill_by_id(skill_id)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "E:\yh-ai\project\lzwcai-szyg\lzwcai-mcp-server-package\lzwcai_mcp_sqlexecutor\lzwcai_mcp_sqlexecutor\utils\api_client.py", line 99, in get_skill_by_id
raise Exception(error_msg)
Exception: API请求失败 (HTTP 404): http://192.168.11.24:8088/datasource/skill/getBySkillId/
2025-12-31 12:57:29 - mcp_services - WARNING - [main.py:131] - API获取失败，降级使用本地配置: API请求失败 (HTTP 404): http://192.168.11.24:8088/datasource/skill/getBySkillId/
2025-12-31 12:57:29 - mcp_services - INFO - [main.py:55] - 成功加载 3 个业务查询配置
2025-12-31 12:57:29 - mcp_services - ERROR - [main.py:92] - 生成工具模式失败: 2006300000000000001, 错误: 'businessName'
Traceback (most recent call last):
File "E:\yh-ai\project\lzwcai-szyg\lzwcai-mcp-server-package\lzwcai_mcp_sqlexecutor\lzwcai_mcp_sqlexecutor\main.py", line 80, in generate_tool_schema_from_query
tool_name = query['businessName']
~~~~~^^^^^^^^^^^^^^^^
KeyError: 'businessName'
2025-12-31 12:57:29 - mcp_services - ERROR - [main.py:170] - 列出工具失败: 'businessName'
Traceback (most recent call last):
File "E:\yh-ai\project\lzwcai-szyg\lzwcai-mcp-server-package\lzwcai_mcp_sqlexecutor\lzwcai_mcp_sqlexecutor\main.py", line 162, in handle_list_tools
tool = generate_tool_schema_from_query(query)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "E:\yh-ai\project\lzwcai-szyg\lzwcai-mcp-server-package\lzwcai_mcp_sqlexecutor\lzwcai_mcp_sqlexecutor\main.py", line 80, in generate_tool_schema_from_query
tool_name = query['businessName']
~~~~~^^^^^^^^^^^^^^^^
KeyError: 'businessName'
2025-12-31 12:57:29 - mcp.server.lowlevel.server - INFO - [server.py:619] - Processing request of type ListToolsRequest
2025-12-31 12:57:29 - mcp_services - INFO - [main.py:156] - 收到列出工具请求
2025-12-31 12:57:29 - mcp_services - ERROR - [main.py:92] - 生成工具模式失败: 2006300000000000001, 错误: 'businessName'
Traceback (most recent call last):
File "E:\yh-ai\project\lzwcai-szyg\lzwcai-mcp-server-package\lzwcai_mcp_sqlexecutor\lzwcai_mcp_sqlexecutor\main.py", line 80, in generate_tool_schema_from_query
tool_name = query['businessName']
~~~~~^^^^^^^^^^^^^^^^
KeyError: 'businessName'
2025-12-31 12:57:29 - mcp_services - ERROR - [main.py:170] - 列出工具失败: 'businessName'
Traceback (most recent call last):
File "E:\yh-ai\project\lzwcai-szyg\lzwcai-mcp-server-package\lzwcai_mcp_sqlexecutor\lzwcai_mcp_sqlexecutor\main.py", line 162, in handle_list_tools
tool = generate_tool_schema_from_query(query)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "E:\yh-ai\project\lzwcai-szyg\lzwcai-mcp-server-package\lzwcai_mcp_sqlexecutor\lzwcai_mcp_sqlexecutor\main.py", line 80, in generate_tool_schema_from_query
tool_name = query['businessName']
~~~~~^^^^^^^^^^^^^^^^
KeyError: 'businessName'
2025-12-31 12:57:54 - root - INFO - [logger_config.py:151] - 日志系统初始化完成 - 日志目录: E:\yh-ai\project\lzwcai-szyg\lzwcai-mcp-server-package\lzwcai_mcp_sqlexecutor\lzwcai_mcp_sqlexecutor\logs
2025-12-31 12:57:54 - root - INFO - [logger_config.py:152] - 日志配置 - 级别: INFO, 文件大小限制: 10MB, 备份数量: 5
2025-12-31 12:57:54 - mcp_services - INFO - [main.py:347] - 开始运行 MCP SQL Executor 服务器
2025-12-31 12:57:54 - mcp_services - INFO - [main.py:299] - ============================================================
2025-12-31 12:57:54 - mcp_services - INFO - [main.py:300] - 正在启动 MCP 服务器: lzwcai-mcp-sqlexecutor
2025-12-31 12:57:54 - mcp_services - INFO - [main.py:301] - 版本: 0.1.0
2025-12-31 12:57:54 - mcp_services - INFO - [main.py:302] - ============================================================
2025-12-31 12:57:54 - mcp_services - INFO - [main.py:306] - 环境配置 - Database ID: 16
2025-12-31 12:57:54 - mcp_services - INFO - [main.py:307] - 环境配置 - Skill ID:
2025-12-31 12:57:54 - mcp_services - INFO - [main.py:308] - 环境配置 - Backend Base URL: http://192.168.11.24:8088
2025-12-31 12:57:54 - mcp_services - INFO - [main.py:309] - ============================================================
2025-12-31 12:57:54 - mcp_services - INFO - [main.py:314] - MCP 服务器已启动，等待客户端连接...
2025-12-31 12:57:54 - mcp.server.lowlevel.server - INFO - [server.py:619] - Processing request of type ListToolsRequest
2025-12-31 12:57:54 - mcp_services - INFO - [main.py:156] - 收到列出工具请求
2025-12-31 12:57:54 - mcp_services - INFO - [main.py:119] - 初始化查询配置（数据源: local）...
2025-12-31 12:57:54 - mcp_services - INFO - [main.py:55] - 成功加载 3 个业务查询配置
2025-12-31 12:57:54 - mcp_services - INFO - [main.py:123] - 本地配置: 3 条
2025-12-31 12:57:54 - mcp_services - ERROR - [main.py:92] - 生成工具模式失败: 2006300000000000001, 错误: 'businessName'
Traceback (most recent call last):
File "E:\yh-ai\project\lzwcai-szyg\lzwcai-mcp-server-package\lzwcai_mcp_sqlexecutor\lzwcai_mcp_sqlexecutor\main.py", line 80, in generate_tool_schema_from_query
tool_name = query['businessName']
~~~~~^^^^^^^^^^^^^^^^
KeyError: 'businessName'
2025-12-31 12:57:54 - mcp_services - ERROR - [main.py:170] - 列出工具失败: 'businessName'
Traceback (most recent call last):
File "E:\yh-ai\project\lzwcai-szyg\lzwcai-mcp-server-package\lzwcai_mcp_sqlexecutor\lzwcai_mcp_sqlexecutor\main.py", line 162, in handle_list_tools
tool = generate_tool_schema_from_query(query)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "E:\yh-ai\project\lzwcai-szyg\lzwcai-mcp-server-package\lzwcai_mcp_sqlexecutor\lzwcai_mcp_sqlexecutor\main.py", line 80, in generate_tool_schema_from_query
tool_name = query['businessName']
~~~~~^^^^^^^^^^^^^^^^
KeyError: 'businessName'
2025-12-31 15:00:31 - mcp.server.lowlevel.server - INFO - [server.py:619] - Processing request of type ListToolsRequest
2025-12-31 15:00:31 - mcp_services - INFO - [main.py:156] - 收到列出工具请求
2025-12-31 15:00:31 - mcp_services - ERROR - [main.py:92] - 生成工具模式失败: 2006300000000000001, 错误: 'businessName'
Traceback (most recent call last):
File "E:\yh-ai\project\lzwcai-szyg\lzwcai-mcp-server-package\lzwcai_mcp_sqlexecutor\lzwcai_mcp_sqlexecutor\main.py", line 80, in generate_tool_schema_from_query
tool_name = query['businessName']
~~~~~^^^^^^^^^^^^^^^^
KeyError: 'businessName'
2025-12-31 15:00:31 - mcp_services - ERROR - [main.py:170] - 列出工具失败: 'businessName'
Traceback (most recent call last):
File "E:\yh-ai\project\lzwcai-szyg\lzwcai-mcp-server-package\lzwcai_mcp_sqlexecutor\lzwcai_mcp_sqlexecutor\main.py", line 162, in handle_list_tools
tool = generate_tool_schema_from_query(query)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "E:\yh-ai\project\lzwcai-szyg\lzwcai-mcp-server-package\lzwcai_mcp_sqlexecutor\lzwcai_mcp_sqlexecutor\main.py", line 80, in generate_tool_schema_from_query
tool_name = query['businessName']
~~~~~^^^^^^^^^^^^^^^^
KeyError: 'businessName'
2025-12-31 15:00:34 - mcp_services - INFO - [main.py:329] - MCP 服务器已关闭
2025-12-31 15:00:53 - root - INFO - [logger_config.py:151] - 日志系统初始化完成 - 日志目录: E:\yh-ai\project\lzwcai-szyg\lzwcai-mcp-server-package\lzwcai_mcp_sqlexecutor\lzwcai_mcp_sqlexecutor\logs
2025-12-31 15:00:53 - root - INFO - [logger_config.py:152] - 日志配置 - 级别: INFO, 文件大小限制: 10MB, 备份数量: 5
2025-12-31 15:00:53 - mcp_services - INFO - [main.py:347] - 开始运行 MCP SQL Executor 服务器
2025-12-31 15:00:53 - mcp_services - INFO - [main.py:299] - ============================================================
2025-12-31 15:00:53 - mcp_services - INFO - [main.py:300] - 正在启动 MCP 服务器: lzwcai-mcp-sqlexecutor
2025-12-31 15:00:53 - mcp_services - INFO - [main.py:301] - 版本: 0.1.0
2025-12-31 15:00:53 - mcp_services - INFO - [main.py:302] - ============================================================
2025-12-31 15:00:53 - mcp_services - INFO - [main.py:306] - 环境配置 - Database ID: 29
2025-12-31 15:00:53 - mcp_services - INFO - [main.py:307] - 环境配置 - Skill ID:
2025-12-31 15:00:53 - mcp_services - INFO - [main.py:308] - 环境配置 - Backend Base URL: http://lzwcai-demp-corp-manager:8086
2025-12-31 15:00:53 - mcp_services - INFO - [main.py:309] - ============================================================
2025-12-31 15:00:53 - mcp_services - INFO - [main.py:314] - MCP 服务器已启动，等待客户端连接...
2025-12-31 15:00:54 - mcp.server.lowlevel.server - INFO - [server.py:619] - Processing request of type ListToolsRequest
2025-12-31 15:00:54 - mcp_services - INFO - [main.py:156] - 收到列出工具请求
2025-12-31 15:00:54 - mcp_services - INFO - [main.py:119] - 初始化查询配置（数据源: api）...
2025-12-31 15:00:54 - mcp_services - INFO - [main.py:278] - 调用第三方API，skill_id:
2025-12-31 15:00:54 - lzwcai_mcp_sqlexecutor.utils.api_client - INFO - [api_client.py:71] - 正在调用API: http://lzwcai-demp-corp-manager:8086/datasource/skill/getBySkillId/
2025-12-31 15:00:56 - lzwcai_mcp_sqlexecutor.utils.api_client - ERROR - [api_client.py:103] - API请求异常: http://lzwcai-demp-corp-manager:8086/datasource/skill/getBySkillId/, 错误: [Errno 11001] getaddrinfo failed
2025-12-31 15:00:56 - mcp_services - ERROR - [main.py:292] - API调用失败: API请求异常: http://lzwcai-demp-corp-manager:8086/datasource/skill/getBySkillId/, 错误: [Errno 11001] getaddrinfo failed
Traceback (most recent call last):
File "D:\anaconda3\Lib\site-packages\httpx\_transports\default.py", line 101, in map_httpcore_exceptions
yield
File "D:\anaconda3\Lib\site-packages\httpx\_transports\default.py", line 250, in handle_request
resp = self._pool.handle_request(req)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "D:\anaconda3\Lib\site-packages\httpcore\_sync\connection_pool.py", line 216, in handle_request
raise exc from None
File "D:\anaconda3\Lib\site-packages\httpcore\_sync\connection_pool.py", line 196, in handle_request
response = connection.handle_request(
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "D:\anaconda3\Lib\site-packages\httpcore\_sync\connection.py", line 99, in handle_request
raise exc
File "D:\anaconda3\Lib\site-packages\httpcore\_sync\connection.py", line 76, in handle_request
stream = self._connect(request)
^^^^^^^^^^^^^^^^^^^^^^
File "D:\anaconda3\Lib\site-packages\httpcore\_sync\connection.py", line 122, in _connect
stream = self._network_backend.connect_tcp(**kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "D:\anaconda3\Lib\site-packages\httpcore\_backends\sync.py", line 205, in connect_tcp
with map_exceptions(exc_map):
^^^^^^^^^^^^^^^^^^^^^^^
File "D:\anaconda3\Lib\contextlib.py", line 158, in __exit__
self.gen.throw(value)
File "D:\anaconda3\Lib\site-packages\httpcore\_exceptions.py", line 14, in map_exceptions
raise to_exc(exc) from exc
httpcore.ConnectError: [Errno 11001] getaddrinfo failed
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "E:\yh-ai\project\lzwcai-szyg\lzwcai-mcp-server-package\lzwcai_mcp_sqlexecutor\lzwcai_mcp_sqlexecutor\utils\api_client.py", line 74, in get_skill_by_id
response = self.client.get(
^^^^^^^^^^^^^^^^
File "D:\anaconda3\Lib\site-packages\httpx\_client.py", line 1053, in get
return self.request(
^^^^^^^^^^^^^
File "D:\anaconda3\Lib\site-packages\httpx\_client.py", line 825, in request
return self.send(request, auth=auth, follow_redirects=follow_redirects)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "D:\anaconda3\Lib\site-packages\httpx\_client.py", line 914, in send
response = self._send_handling_auth(
^^^^^^^^^^^^^^^^^^^^^^^^^
File "D:\anaconda3\Lib\site-packages\httpx\_client.py", line 942, in _send_handling_auth
response = self._send_handling_redirects(
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "D:\anaconda3\Lib\site-packages\httpx\_client.py", line 979, in _send_handling_redirects
response = self._send_single_request(request)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "D:\anaconda3\Lib\site-packages\httpx\_client.py", line 1014, in _send_single_request
response = transport.handle_request(request)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "D:\anaconda3\Lib\site-packages\httpx\_transports\default.py", line 249, in handle_request
with map_httpcore_exceptions():
^^^^^^^^^^^^^^^^^^^^^^^^^
File "D:\anaconda3\Lib\contextlib.py", line 158, in __exit__
self.gen.throw(value)
File "D:\anaconda3\Lib\site-packages\httpx\_transports\default.py", line 118, in map_httpcore_exceptions
raise mapped_exc(message) from exc
httpx.ConnectError: [Errno 11001] getaddrinfo failed
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "E:\yh-ai\project\lzwcai-szyg\lzwcai-mcp-server-package\lzwcai_mcp_sqlexecutor\lzwcai_mcp_sqlexecutor\main.py", line 281, in call_third_party_api
raw_result = get_skill_by_id(skill_id)
^^^^^^^^^^^^^^^^^^^^^^^^^
File "E:\yh-ai\project\lzwcai-szyg\lzwcai-mcp-server-package\lzwcai_mcp_sqlexecutor\lzwcai_mcp_sqlexecutor\utils\api_client.py", line 208, in get_skill_by_id
return default_client.get_skill_by_id(skill_id)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "E:\yh-ai\project\lzwcai-szyg\lzwcai-mcp-server-package\lzwcai_mcp_sqlexecutor\lzwcai_mcp_sqlexecutor\utils\api_client.py", line 104, in get_skill_by_id
raise Exception(error_msg)
Exception: API请求异常: http://lzwcai-demp-corp-manager:8086/datasource/skill/getBySkillId/, 错误: [Errno 11001] getaddrinfo failed
2025-12-31 15:00:56 - mcp_services - WARNING - [main.py:131] - API获取失败，降级使用本地配置: API请求异常: http://lzwcai-demp-corp-manager:8086/datasource/skill/getBySkillId/, 错误: [Errno 11001] getaddrinfo failed
2025-12-31 15:00:56 - mcp_services - INFO - [main.py:55] - 成功加载 0 个业务查询配置
2025-12-31 15:00:56 - mcp_services - INFO - [main.py:165] - 成功生成 0 个 MCP 工具
2025-12-31 15:00:56 - mcp.server.lowlevel.server - INFO - [server.py:619] - Processing request of type ListToolsRequest
2025-12-31 15:00:56 - mcp_services - INFO - [main.py:156] - 收到列出工具请求
2025-12-31 15:00:56 - mcp_services - INFO - [main.py:165] - 成功生成 0 个 MCP 工具

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lzwcai_mcp_sqlexecutor/lzwcai_mcp_sqlexecutor/logs/mcp_services.log
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4
lzwcai_mcp_sqlexecutor/lzwcai_mcp_sqlexecutor/pyproject.toml
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@@ -7,7 +7,7 @@ name = "lzwcai-mcp-sqlexecutor"
version = "0.1.6"
description = "MCP server for executing business SQL queries with dynamic tool generation"
readme = "README.md"
requires-python = ">=3.13"
requires-python = ">=3.10"
license = {text = "MIT"}
authors = [
{name = "lzwcai", email = "your-email@example.com"},
@@ -17,7 +17,7 @@ classifiers = [
"Development Status :: 3 - Alpha",
"Intended Audience :: Developers",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.13",
"Programming Language :: Python :: 3.10",
]
dependencies = [
"httpx>=0.28.1",

6
lzwcai_mcp_sqlexecutor/main.py
View File

@@ -4,9 +4,9 @@ Runs the MCP server for SQL query execution
"""
import os
os.environ["databaseId"] = "12"
os.environ["skillId"] = "2013848312313335809"
os.environ["backendBaseUrl"] = "http://192.168.11.24:8088"
os.environ["databaseId"] = "162"
os.environ["skillId"] = "2008360664955854850"
os.environ["backendBaseUrl"] = "http://192.168.2.236:8088"
if __name__ == "__main__":
# Import and run the actual MCP server
from lzwcai_mcp_sqlexecutor.main import main

2
lzwcai_mcp_sqlexecutor/pyproject.toml
View File

@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
[project]
name = "lzwcai-mcp-sqlexecutor"
version = "0.1.10"
version = "0.1.11"
description = "MCP server for executing business SQL queries with dynamic tool generation"
readme = "README.md"
requires-python = ">=3.10"