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Browse files- examples/mcp_demo/README.md +17 -0
- examples/mcp_demo/mcp_example.json +16 -0
- examples/mcp_demo/prompt.py +45 -0
- examples/mcp_demo/run.py +28 -0
- examples/mcp_demo/servers_config.py +30 -0
- examples/mcp_demo/simple_server.py +334 -0
examples/mcp_demo/README.md
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MCP demo
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1. Start example mcp server use the command:
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```shell
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simple_server.py
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```
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2. Configure the `llm_api_key` and `llm_base_url`, or relevant parameters.
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3. Run the pipeline:
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```shell
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python run.py
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```
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4. View the logs in the console, and the following key information indicates successful execution:
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```text
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mcp observation: container_id=None observer=None ability=None from_agent_name=None to_agent_name=None content='{"result": 25000.0}' dom_tree=None image=None action_result=[ActionResult(is_done=False, success=False, content='{"result": 25000.0}', error=None, keep=True, action_name='divide', tool_name='simple-calculator', tool_id='call_Sb4c16wDzUvdTPaqqqdNH6Er', metadata={})] images=[] info={}
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```
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examples/mcp_demo/mcp_example.json
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{
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"mcpServers": {
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"amap-amap-sse": {
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"url": "https://mcp.amap.com/sse?key=YOUR_API_KEY",
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"timeout": 5.0,
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"sse_read_timeout": 300.0
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},
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"tavily-mcp": {
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"command": "npx",
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"args": ["-y", "[email protected]"],
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"env": {
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"TAVILY_API_KEY": "YOUR_API_KEY"
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}
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}
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}
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}
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examples/mcp_demo/prompt.py
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system_prompt = """
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<instruction>
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You are an intelligent assistant.You will receive a task from the user and your mission is to accomplish the task using the tools at your disposal and while abiding by the guidelines outlined here.
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</instruction>
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<tool_list>
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Now you can call the following tools to help users complete tasks.Each tool has different functions and parameters, defined as follows:
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{tool_list}
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...(More tools can be added here, uniform format)
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</tool_list>
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<how to work>
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1.Selecting tools must be based on the tool descriptions combined with the user's query to choose the most suitable tool.
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2. If the user's question can be solved by calling the above tools, determine which tools to use and extract the parameter contents from the user's input.
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3. Your response **must strictly output in JSON structure**, no natural language description allowed, no Markdown formatting, no ```json or ``` tags, and no newline characters like ("\n", "\r", etc.), output the JSON string directly:
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{{
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"use_tool_list":[{{
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"tool":"tool_name",
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"arguments": {{
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"param1_name": "param1_value",
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"param2_name": "param2_value"
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}}
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}}]
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}}
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4. If the user's question cannot be solved by the above tools, do not return an empty tool list, output only the final response.
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5. Important: Only return a pure JSON string without any extra formatting or markers.
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6.You can call the tools. Each time, select one tool to invoke; the result of invoking the tool will also be fed back to the large model. Based on the tool's result and the user’s question, the large model decides whether to continue choosing tools or directly output the final result. Recursive or dead-loop calls to tools are not allowed. If multiple consecutive calls to tools still fail to meet the user's needs, you must generate a final response using all existing tool results obtained.
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</how to work>
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"""
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agent_prompt = """
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1.The tools was called:
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<action_list>
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{action_list}
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</action_list>
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2.the tool returned the result:
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<tool_result>
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{result}
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</tool_result>
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Please summarize the result based on the user's question and the tool's feedback, then decide whether to continue selecting other tools to complete the task or directly output the final result.
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"""
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examples/mcp_demo/run.py
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# coding: utf-8
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# Copyright (c) 2025 inclusionAI.
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from aworld.config.conf import AgentConfig
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from aworld.agents.llm_agent import Agent
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from aworld.runner import Runners
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from examples.mcp_demo.servers_config import mcp_config
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if __name__ == '__main__':
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agent_config = AgentConfig(
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llm_provider="openai",
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llm_model_name="gpt-4o",
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llm_api_key="YOUR_API_KEY",
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llm_base_url="http://localhost:5080"
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)
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search_sys_prompt = "You can use simple-calculator tools to calculate numbers and answer questions"
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search = Agent(
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conf=agent_config,
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name="search_agent",
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system_prompt=search_sys_prompt,
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# mcp_servers=["amap-amap-sse"], # MCP server name for agent to use
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mcp_servers = ["simple-calculator"], # MCP server name for agent to use
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mcp_config=mcp_config
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)
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# Run agent
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Runners.sync_run(input="30,000 divided by 1.2 ", agent=search)
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examples/mcp_demo/servers_config.py
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mcp_config = {
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"mcpServers": {
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"aworld": {
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"url": "http://localhost:20000/sse"
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},
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"amap-amap-sse": {
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"type": "sse",
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"url": "https://mcp.amap.com/sse?key=YOUR_API_KEY",
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"timeout": 5,
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"sse_read_timeout": 300
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},
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"tavily-mcp": {
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"type": "stdio",
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"command": "npx",
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"args": [
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"-y",
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],
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"env": {
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"TAVILY_API_KEY": "YOUR_API_KEY"
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}
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},
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"simple-calculator": {
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"type": "sse",
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"url": "http://127.0.0.1:8500/calculator/sse",
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"timeout": 5,
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"sse_read_timeout": 300
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}
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}
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}
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examples/mcp_demo/simple_server.py
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# coding: utf-8
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# Copyright (c) 2025 inclusionAI.
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"""
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Simple calculator MCP server example.
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"""
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import argparse
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import os
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import time
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from typing import List, Dict, Any, Optional
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from pydantic import Field
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from aworld.mcp_client.decorator import mcp_server
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@mcp_server(
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name="simple-calculator",
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mode="sse",
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host="127.0.0.1",
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port=8500,
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sse_path="/calculator/sse",
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auto_start=True # if False you can start manually in main()
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)
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class Calculator:
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"""Provides basic mathematical functions, including addition, subtraction, multiplication, division, and calculation history management."""
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def __init__(self):
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self.history = []
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def add(self,
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a: float = Field(description="First addend"),
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b: float = Field(description="Second addend")
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) -> Dict[str, Any]:
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"""
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Add two numbers
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:param a: First addend
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:param b: Second addend
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:return: Dictionary containing the result
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"""
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result = a + b
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self.history.append(f"{a} + {b} = {result}")
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print(f"add:{a} + {b} = {result}")
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return {"result": result}
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def subtract(self,
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a: float = Field(description="Minuend"),
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b: float = Field(description="Subtrahend")
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) -> Dict[str, Any]:
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"""
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Subtract the second number from the first number
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:param a: Minuend
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:param b: Subtrahend
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:return: Dictionary containing the result
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"""
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result = a - b
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self.history.append(f"{a} - {b} = {result}")
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print(f"subtract:{a} - {b} = {result}")
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return {"result": result}
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def multiply(self,
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a: float = Field(description="First factor"),
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b: float = Field(description="Second factor")
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) -> Dict[str, Any]:
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"""
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Multiply two numbers
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:param a: First factor
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:param b: Second factor
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:return: Dictionary containing the result
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"""
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result = a * b
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self.history.append(f"{a} * {b} = {result}")
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print(f"multiply:{a} * {b} = {result}")
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return {"result": result}
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def divide(self,
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a: float = Field(description="Dividend"),
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b: float = Field(description="Divisor")
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) -> Dict[str, Any]:
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"""
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Divide the first number by the second number
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:param a: Dividend
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:param b: Divisor
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:return: Dictionary containing the result
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"""
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if b == 0:
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raise ValueError("Divisor cannot be zero")
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result = a / b
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self.history.append(f"{a} / {b} = {result}")
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print(f"divide:{a} / {b} = {result}")
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return {"result": result}
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def get_history(self) -> Dict[str, List[str]]:
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"""
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Get calculation history
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:return: Dictionary containing the history
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"""
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return {"history": self.history}
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def clear_history(self) -> Dict[str, str]:
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"""
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Clear calculation history
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108 |
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:return: Dictionary containing operation status
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"""
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self.history = []
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return {"status": "History cleared"}
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@mcp_server(
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name="weather",
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mode="sse",
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host="127.0.0.1",
|
119 |
+
port=8200,
|
120 |
+
sse_path="/weather/sse",
|
121 |
+
auto_start=False # Don't auto-start, we'll start manually in main()
|
122 |
+
)
|
123 |
+
class WeatherService:
|
124 |
+
"""A service that can query and manage city weather information, supports adding cities and getting city weather data."""
|
125 |
+
|
126 |
+
def __init__(self):
|
127 |
+
self.locations = {
|
128 |
+
"Beijing": {"temp": 20, "humidity": 60, "weather": "Sunny"},
|
129 |
+
"Shanghai": {"temp": 25, "humidity": 70, "weather": "Cloudy"},
|
130 |
+
"Guangzhou": {"temp": 30, "humidity": 80, "weather": "Rainy"}
|
131 |
+
}
|
132 |
+
|
133 |
+
def get_current_weather(self,
|
134 |
+
location: str = Field(description="City name")
|
135 |
+
) -> Dict[str, Any]:
|
136 |
+
"""
|
137 |
+
Get current weather for a specified city
|
138 |
+
|
139 |
+
:param location: City name
|
140 |
+
:return: Dictionary containing weather information
|
141 |
+
"""
|
142 |
+
if location not in self.locations:
|
143 |
+
return {"error": f"City {location} does not exist"}
|
144 |
+
return {"weather": self.locations[location]}
|
145 |
+
|
146 |
+
def get_locations(self) -> Dict[str, List[str]]:
|
147 |
+
"""
|
148 |
+
Get list of all available cities
|
149 |
+
|
150 |
+
:return: Dictionary containing city list
|
151 |
+
"""
|
152 |
+
return {"locations": list(self.locations.keys())}
|
153 |
+
|
154 |
+
def add_location(self,
|
155 |
+
location: str = Field(description="City name"),
|
156 |
+
temp: float = Field(description="Temperature (Celsius)"),
|
157 |
+
humidity: float = Field(description="Humidity (percentage)"),
|
158 |
+
weather: str = Field(description="Weather description")
|
159 |
+
) -> Dict[str, str]:
|
160 |
+
"""
|
161 |
+
Add or update weather information for a city
|
162 |
+
|
163 |
+
:param location: City name
|
164 |
+
:param temp: Temperature (Celsius)
|
165 |
+
:param humidity: Humidity (percentage)
|
166 |
+
:param weather: Weather description
|
167 |
+
:return: Dictionary containing operation status
|
168 |
+
"""
|
169 |
+
self.locations[location] = {
|
170 |
+
"temp": temp,
|
171 |
+
"humidity": humidity,
|
172 |
+
"weather": weather
|
173 |
+
}
|
174 |
+
return {"status": f"Weather information for {location} has been updated"}
|
175 |
+
|
176 |
+
|
177 |
+
@mcp_server(
|
178 |
+
name="async-calculator",
|
179 |
+
mode="sse",
|
180 |
+
host="127.0.0.1",
|
181 |
+
port=8200,
|
182 |
+
sse_path="/async-calculator/sse",
|
183 |
+
auto_start=False # Don't auto-start, we'll start manually in main()
|
184 |
+
)
|
185 |
+
class AsyncCalculator:
|
186 |
+
"""Provides asynchronous version of basic mathematical functions, including addition, subtraction, multiplication, division, and calculation history management."""
|
187 |
+
|
188 |
+
def __init__(self):
|
189 |
+
self.history = []
|
190 |
+
|
191 |
+
async def add(self,
|
192 |
+
a: float = Field(description="First addend"),
|
193 |
+
b: float = Field(description="Second addend")
|
194 |
+
) -> Dict[str, Any]:
|
195 |
+
"""
|
196 |
+
Add two numbers (async version)
|
197 |
+
|
198 |
+
:param a: First addend
|
199 |
+
:param b: Second addend
|
200 |
+
:return: Dictionary containing the result
|
201 |
+
"""
|
202 |
+
result = a + b
|
203 |
+
self.history.append(f"{a} + {b} = {result}")
|
204 |
+
print(f"async_add:{a} + {b} = {result}")
|
205 |
+
return {"result": result}
|
206 |
+
|
207 |
+
async def subtract(self,
|
208 |
+
a: float = Field(description="Minuend"),
|
209 |
+
b: float = Field(description="Subtrahend")
|
210 |
+
) -> Dict[str, Any]:
|
211 |
+
"""
|
212 |
+
Subtract the second number from the first number (async version)
|
213 |
+
|
214 |
+
:param a: Minuend
|
215 |
+
:param b: Subtrahend
|
216 |
+
:return: Dictionary containing the result
|
217 |
+
"""
|
218 |
+
result = a - b
|
219 |
+
self.history.append(f"{a} - {b} = {result}")
|
220 |
+
print(f"async_subtract:{a} - {b} = {result}")
|
221 |
+
return {"result": result}
|
222 |
+
|
223 |
+
async def multiply(self,
|
224 |
+
a: float = Field(description="First factor"),
|
225 |
+
b: float = Field(description="Second factor")
|
226 |
+
) -> Dict[str, Any]:
|
227 |
+
"""
|
228 |
+
Multiply two numbers (async version)
|
229 |
+
|
230 |
+
:param a: First factor
|
231 |
+
:param b: Second factor
|
232 |
+
:return: Dictionary containing the result
|
233 |
+
"""
|
234 |
+
result = a * b
|
235 |
+
self.history.append(f"{a} * {b} = {result}")
|
236 |
+
print(f"async_multiply:{a} * {b} = {result}")
|
237 |
+
return {"result": result}
|
238 |
+
|
239 |
+
async def divide(self,
|
240 |
+
a: float = Field(description="Dividend"),
|
241 |
+
b: float = Field(description="Divisor")
|
242 |
+
) -> Dict[str, Any]:
|
243 |
+
"""
|
244 |
+
Divide the first number by the second number (async version)
|
245 |
+
|
246 |
+
:param a: Dividend
|
247 |
+
:param b: Divisor
|
248 |
+
:return: Dictionary containing the result
|
249 |
+
"""
|
250 |
+
if b == 0:
|
251 |
+
raise ValueError("Divisor cannot be zero")
|
252 |
+
result = a / b
|
253 |
+
self.history.append(f"{a} / {b} = {result}")
|
254 |
+
print(f"async_divide:{a} / {b} = {result}")
|
255 |
+
return {"result": result}
|
256 |
+
|
257 |
+
async def get_history(self) -> Dict[str, List[str]]:
|
258 |
+
"""
|
259 |
+
Get calculation history (async version)
|
260 |
+
|
261 |
+
:return: Dictionary containing the history
|
262 |
+
"""
|
263 |
+
return {"history": self.history}
|
264 |
+
|
265 |
+
async def clear_history(self) -> Dict[str, str]:
|
266 |
+
"""
|
267 |
+
Clear calculation history (async version)
|
268 |
+
|
269 |
+
:return: Dictionary containing operation status
|
270 |
+
"""
|
271 |
+
self.history = []
|
272 |
+
return {"status": "History cleared"}
|
273 |
+
|
274 |
+
|
275 |
+
def main():
|
276 |
+
parser = argparse.ArgumentParser(description="MCP Simple Calculator Server")
|
277 |
+
parser.add_argument("--server-type", choices=["calculator", "weather", "async-calculator"], default="calculator",
|
278 |
+
help="Server type, options: 'calculator', 'weather', or 'async-calculator'")
|
279 |
+
parser.add_argument("--mode", choices=["stdio", "sse"], default="sse",
|
280 |
+
help="Server running mode, options: 'stdio' or 'sse'")
|
281 |
+
parser.add_argument("--host", default="127.0.0.1", help="Server host address, default is 127.0.0.1")
|
282 |
+
parser.add_argument("--port", type=int, default=8200, help="Server port number, default is 8200")
|
283 |
+
parser.add_argument("--sse-path", default=None, help="SSE path, defaults based on server type")
|
284 |
+
|
285 |
+
args = parser.parse_args()
|
286 |
+
|
287 |
+
# Read configuration from environment variables if set
|
288 |
+
server_type = os.environ.get("MCP_SERVER_TYPE", args.server_type)
|
289 |
+
mode = os.environ.get("MCP_MODE", args.mode)
|
290 |
+
host = os.environ.get("MCP_HOST", args.host)
|
291 |
+
|
292 |
+
# Handle integer type
|
293 |
+
try:
|
294 |
+
port = int(os.environ.get("MCP_PORT", args.port))
|
295 |
+
except (ValueError, TypeError):
|
296 |
+
port = args.port
|
297 |
+
|
298 |
+
# Create server instance based on type
|
299 |
+
if server_type == "calculator":
|
300 |
+
server = Calculator()
|
301 |
+
default_sse_path = "/calculator/sse"
|
302 |
+
elif server_type == "async-calculator":
|
303 |
+
server = AsyncCalculator()
|
304 |
+
default_sse_path = "/async-calculator/sse"
|
305 |
+
else:
|
306 |
+
server = WeatherService()
|
307 |
+
default_sse_path = "/weather/sse"
|
308 |
+
|
309 |
+
# Set SSE path from args, env, or default
|
310 |
+
sse_path = os.environ.get("MCP_SSE_PATH", args.sse_path or default_sse_path)
|
311 |
+
|
312 |
+
print(f"Using configuration: server_type={server_type}, mode={mode}, host={host}, port={port}, sse_path={sse_path}")
|
313 |
+
|
314 |
+
# Run server with provided configuration
|
315 |
+
server.run(mode=mode, host=host, port=port, sse_path=sse_path)
|
316 |
+
|
317 |
+
|
318 |
+
def auto_start_example():
|
319 |
+
|
320 |
+
Calculator()
|
321 |
+
|
322 |
+
print("Auto-starting calculator has been initialized.")
|
323 |
+
print("Server is running in background. Press Ctrl+C to exit.")
|
324 |
+
|
325 |
+
try:
|
326 |
+
# Keep main thread alive
|
327 |
+
while True:
|
328 |
+
time.sleep(1)
|
329 |
+
except KeyboardInterrupt:
|
330 |
+
print("Exiting...")
|
331 |
+
|
332 |
+
|
333 |
+
if __name__ == "__main__":
|
334 |
+
auto_start_example()
|