2026年MCP主机使用Cline

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MCP相当于LLM的手脚，增加了大模型的执行能力。在介绍下Cline之前，我们先介绍下MCP主机。如果把LLM类比作分布式事务的事务管理器，那么MCP server相当于分布式事务中的资源管理器，MCP主机就是分布式事务中的资源协调者。它工作的流程如下：

当用户向MCP主机询问天气的时候，MCP主机会把用户的问题和主机上配置的MCP工具都放在提示词里，发给LLM，LLM先思考看自己能否给出答案，比如天气这种实时变化的知识，LLM解答不了，所以它从提示词中给的MCP工具列表中，根据提示词的描述，选定工具返回给MCP主机。MCP主机询问用户授权，用户授权后调用MCP server查询天气，将返回的结果提交给LLM，LLM总结后返回给MCP服务器，然后展示给用户，用户就看到了结果。

目前比较成熟的MCP主机如下：

其中cline是vscode的开源插件https://github.com/cline/cline，下面我们介绍下如何配置使用：在vscode 插件市场中搜索Cline，然后安装：

安装完成后配置Cline，由于知名的LLM都是收费的，我们配置下免费的大模型智普。（网上说可以访问glfh.chat网站，该网站提供了多个免费的开源模型，包括：llama3.1 405B、千问2.5 coder 32B、llama3.3 70B，实测发现由于防火墙的原因，访问不了）。

这里我们选择OpenAI Compatible的大模型提供商，然后填入智普的api地址和token。保存就可以了，我们测试下：

能返回结果说明成功了，下面我们接着制作自己的mcp server，交给cline使用。我们使用python开发mcp server。

开发之前先使用脚手架uv（https://github.com/astral-sh/uv）来初始化python环境

pip3 install uv -i https://mirrors.aliyun.com/pypi/simple/ Installing collected packages: uv Successfully installed uv-0.7.8 [notice] A new release of pip is available: 23.2.1 -> 25.1.1 [notice] To update, run: python3.11 -m pip install –upgrade pip

安装完检测下版本

GPT plus 代充 只需 145 % uv –version uv 0.7.8 (0ddcc1905 2025-05-23)

初始化一个项目

�it weather Initialized project weather at /Users/xia*****/py/weather

初始化一个虚拟环境

GPT plus 代充 只需 145�nv Using CPython 3.11.6 interpreter at: /usr/local/opt/python@3.11/bin/python3.11 Creating virtual environment at: .venv Activate with: source .venv/bin/activate

% source .venv/bin/activate (py)

进入目录，安装依赖包

GPT plus 代充 只需 145% uv add "mcp[cli]" httpx -i https://mirrors.aliyun.com/pypi/simple/ warning: Indexes specified via --index-url will not be persisted to the pyproject.toml file; use --default-index instead. warning: VIRTUAL_ENV=/Users/xia*****/py/.venv does not match the project environment path .venv and will be ignored; use --active to target the active environment instead Resolved 29 packages in 2.76s Prepared 27 packages in 2.44s Installed 27 packages in 140ms

annotated-types==0.7.0
anyio==4.9.0
certifi==2025.4.26
click==8.1.8
h11==0.16.0
httpcore==1.0.9
httpx==0.28.1
httpx-sse==0.4.0
idna==3.10
markdown-it-py==3.0.0
mcp==1.9.1
mdurl==0.1.2
pydantic==2.11.5
pydantic-core==2.33.2
pydantic-settings==2.9.1
pygments==2.19.1
python-dotenv==1.1.0
python-multipart==0.0.20
rich==14.0.0
shellingham==1.5.4
sniffio==1.3.1
sse-starlette==2.3.5
starlette==0.46.2
typer==0.15.4
typing-extensions==4.13.2
typing-inspection==0.4.1

uvicorn==0.34.2

�d fastmcp -i https://mirrors.aliyun.com/pypi/simple/ warning: Indexes specified via --index-url will not be persisted to the pyproject.toml file; use --default-index instead. warning: VIRTUAL_ENV=/Users/xia*****/py/.venv does not match the project environment path .venv and will be ignored; use --active to target the active environment instead Resolved 33 packages in 1.02s Prepared 4 packages in 371ms Installed 4 packages in 43ms

exceptiongroup==1.3.0
fastmcp==2.5.0
openapi-pydantic==0.5.1
websockets==15.0.1
然后编辑下我们的mcp server代码weather.py，具体如下
```
GPT plus 代充 只需 145from typing import Any import httpx from mcp.server.fastmcp import FastMCP
```
Initialize FastMCP server

mcp = FastMCP("weather")

Constants

NWS_API_BASE = "https://api.weather.gov" USER_AGENT = "weather-app/1.0" async def make_nws_request(url: str) -> dict[str, Any] | None: """Make a request to the NWS API with proper error handling.""" headers = {
```
"User-Agent": USER_AGENT, "Accept": "application/geo+json" 
```
} async with httpx.AsyncClient() as client:
```
GPT plus 代充 只需 145try: response = await client.get(url, headers=headers, timeout=30.0) response.raise_for_status() return response.json() except Exception: return None 
```
def format_alert(feature: dict) -> str: """Format an alert feature into a readable string.""" props = feature["properties"] return f""" Event: Area: Severity: Description: Instructions: """ @mcp.tool() async def get_alerts(state: str) -> str: """Get weather alerts for a US state. Args:
```
state: Two-letter US state code (e.g. CA, NY) 
```
""" url = f"{NWS_API_BASE}/alerts/active/area/{state}" data = await make_nws_request(url) if not data or "features" not in data:
```
GPT plus 代充 只需 145return "Unable to fetch alerts or no alerts found." 
```
if not data["features"]:
```
return "No active alerts for this state." 
```
alerts = [format_alert(feature) for feature in data["features"]]

return "

".join(alerts) @mcp.tool() async def get_forecast(latitude: float, longitude: float) -> str: """Get weather forecast for a location. Args:
```
GPT plus 代充 只需 145latitude: Latitude of the location longitude: Longitude of the location 
```
"""

First get the forecast grid endpoint

points_url = f"{NWS_API_BASE}/points/{latitude},{longitude}" points_data = await make_nws_request(points_url) if not points_data:
```
return "Unable to fetch forecast data for this location." 
```
Get the forecast URL from the points response

forecast_url = points_data["properties"]["forecast"] forecast_data = await make_nws_request(forecast_url) if not forecast_data:
```
GPT plus 代充 只需 145return "Unable to fetch detailed forecast." 
```
Format the periods into a readable forecast

periods = forecast_data["properties"]["periods"] forecasts = [] for period in periods[:5]: # Only show next 5 periods
```
forecast = f""" 
```
{period[‘name’]}: Temperature: {period[‘temperature’]}°{period[‘temperatureUnit’]} Wind: {period[‘windSpeed’]} {period[‘windDirection’]} Forecast: {period[‘detailedForecast’]} """
```
GPT plus 代充 只需 145forecasts.append(forecast) 
```
return "

".join(forecasts) if name == "main":

Initialize and run the server

mcp.run(transport=‘stdio’)
我们写了一个叫weather的mcp server，提供了两个工具get_alerts和get_forecast然后启动我们的mcp server
```
% uv run weather.py
```
点击Config MCP Servers就能配置mcp server。接下来在mcp 主机上配置mcp server的地址，才能链接上。具体配置如下：
```
GPT plus 代充 只需 145{ "mcpServers": { "weather": { "command": "uv", "args": [
```
```
 "--directory", "/Users/xia*****/py/weather/", "run", "weather.py" 
```
] } } }
配置完成后我们测试下，提问：“德克萨斯州有哪些活跃的天气警报？”，会提示我们是否使用mcp工具，点击是：
返回结果如下：
```
GPT plus 代充 只需 145The weather alerts for Texas include the following:
```

Heat Advisory:
- Area: Jim Wells; Inland Kleberg; Inland Nueces; Inland San Patricio
- Severity: Moderate
- Description: Heat index values up to 111 expected. Drink plenty of fluids, stay in an air-conditioned room, stay out of the sun, and check up on relatives and neighbors.
Flood Warning:
- Area: Angelina, Houston, Polk, Trinity, Tyler
- Description: Minor flooding is forecast for the Neches River near Diboll. Do not drive cars through flooded areas and caution is advised when walking near riverbanks.
  我们测试下第二个工具，提问：“预测下德州的天气”
  至此Cline的配置和使用介绍完毕。

2026年MCP主机使用Cline

Initialize FastMCP server

Constants

return "

First get the forecast grid endpoint

Get the forecast URL from the points response

Format the periods into a readable forecast

return "

Initialize and run the server

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