1、MCP 官方 Python SDK
功能:提供完整的 MCP 协议实现,支持快速开发 MCP Server 和工具集成。特点:
支持 FastMCP 快速构建 MCP Server(如天气查询、文件操作等)
提供 @mcp.tool() 装饰器,方便定义工具函数供大模型调用支持 stdio 和 sse传输方式,适用于本地和远程调用示例:
from mcp.server.fastmcp import FastMCP
mcp = FastMCP("demo")
@mcp.tool()
def get_files():
"""获取桌面文件列表"""
import os
return os.listdir(os.path.expanduser("~/Desktop"))
if __name__ == "__main__":
mcp.run(transport='stdio')2、qwenagent支持rag、函数调用、mcp服务调用
https://github.com/QwenLM/Qwen-Agent/blob/main/README_CN.md
示例
import os
import asyncio
from typing import Optional
from qwen_agent.agents import Assistant
from qwen_agent.gui import WebUI
ROOT_RESOURCE = os.path.join(os.path.dirname(__file__), 'resource')
def init_agent_service():
llm_cfg = {'model': 'qwen-max'}
system = ('你扮演一个数据库助手,你具有查询数据库的能力')
tools = [{
"mcpServers": {
"sqlite" : {
"command": "uvx",
"args": [
"mcp-server-sqlite",
"--db-path",
"test.db"
]
}
}
}]
bot = Assistant(
llm=llm_cfg,
name='数据库助手',
description='数据库查询',
system_message=system,
function_list=tools,
)
return bot
def test(query='数据库里有几张表', file: Optional[str] = os.path.join(ROOT_RESOURCE, 'poem.pdf')):
# Define the agent
bot = init_agent_service()
# Chat
messages = []
if not file:
messages.append({'role': 'user', 'content': query})
else:
messages.append({'role': 'user', 'content': [{'text': query}, {'file': file}]})
for response in bot.run(messages):
print('bot response:', response)
def app_tui():
# Define the agent
bot = init_agent_service()
# Chat
messages = []
while True:
# Query example: 数据库里有几张表
query = input('user question: ')
# File example: resource/poem.pdf
file = input('file url (press enter if no file): ').strip()
if not query:
print('user question cannot be empty!')
continue
if not file:
messages.append({'role': 'user', 'content': query})
else:
messages.append({'role': 'user', 'content': [{'text': query}, {'file': file}]})
response = []
for response in bot.run(messages):
print('bot response:', response)
messages.extend(response)
def app_gui():
# Define the agent
bot = init_agent_service()
chatbot_config = {
'prompt.suggestions': [
'数据库里有几张表',
'创建一个学生表包括学生的姓名、年龄',
'增加一个学生名字叫韩梅梅,今年6岁',
]
}
WebUI(
bot,
chatbot_config=chatbot_config,
).run()
if __name__ == '__main__':
# test()
# app_tui()
app_gui() 网友回复


