模块 nonebot_plugin_marshoai.extensions.mcp_extension.client
async func initialize_servers() -> None
说明: 初始化全部 MCP 实例
源代码 或 在GitHub上查看
python
async def initialize_servers() -> None:
server_config = get_mcp_server_config()
_servers.extend([Server(name, srv_config) for name, srv_config in server_config.items()])
for server in _servers:
logger.info(f'正在初始化 MCP 服务器: {server.name}...')
try:
await server.initialize()
except Exception as e:
logger.error(f'初始化 MCP 服务器实例时出现问题: {e}')
await cleanup_servers()
raise
async func handle_mcp_tool(tool: str, arguments: Optional[dict[str, Any]] = None) -> Optional[str | list]
说明: 处理 MCP Tool 调用
源代码 或 在GitHub上查看
python
async def handle_mcp_tool(tool: str, arguments: Optional[dict[str, Any]]=None) -> Optional[str | list]:
logger.info(f'执行 MCP 工具: {tool} (参数: {arguments})')
for server in _servers:
server_tools = await server.list_tools()
if not any((server_tool.name == tool for server_tool in server_tools)):
continue
try:
result = await server.execute_tool(tool, arguments)
if isinstance(result, dict) and 'progress' in result:
progress = result['progress']
total = result['total']
percentage = progress / total * 100
logger.info(f'工具 {tool} 执行进度: {progress}/{total} ({percentage:.1f}%)')
if isinstance(result, list):
content_string: str = ''
for content in result:
if isinstance(content, TextContent):
content_string += content.text
return content_string
return f'Tool execution result: {result}'
except Exception as e:
error_msg = f'Error executing tool: {str(e)}'
logger.error(error_msg)
return error_msg
return None
async func cleanup_servers() -> None
说明: 清理 MCP 实例
源代码 或 在GitHub上查看
python
async def cleanup_servers() -> None:
cleanup_tasks = [asyncio.create_task(server.cleanup()) for server in _servers]
if cleanup_tasks:
try:
await asyncio.gather(*cleanup_tasks, return_exceptions=True)
except Exception as e:
logger.warning(f'清理 MCP 实例时出现错误: {e}')
async func transform_json(tool: Tool) -> dict[str, Any]
说明: 将 MCP Tool 转换为 OpenAI 所需的 parameters 格式,并删除多余字段
源代码 或 在GitHub上查看
python
async def transform_json(tool: Tool) -> dict[str, Any]:
func_desc = {'name': tool.name, 'description': tool.description, 'parameters': {}, 'required': []}
if tool.input_schema:
parameters = {'type': tool.input_schema.get('type', 'object'), 'properties': tool.input_schema.get('properties', {}), 'required': tool.input_schema.get('required', [])}
func_desc['parameters'] = parameters
output = {'type': 'function', 'function': func_desc}
return output
async func get_mcp_list() -> list[dict[str, dict]]
说明: 获得适用于 OpenAI Tool Call 输入格式的 MCP 工具列表
源代码 或 在GitHub上查看
python
async def get_mcp_list() -> list[dict[str, dict]]:
all_tools: list[dict[str, dict]] = []
for server in _servers:
tools = await server.list_tools()
all_tools.extend([await transform_json(tool) for tool in tools])
return all_tools
async func is_mcp_tool(tool_name: str) -> bool
说明: 检查工具是否为 MCP 工具
源代码 或 在GitHub上查看
python
async def is_mcp_tool(tool_name: str) -> bool:
mcp_list = await get_mcp_list()
for tool in mcp_list:
if tool['function']['name'] == tool_name:
return True
return False