pubmed

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🇺🇸

Original

English

🇨🇳

Translation

Chinese

pubmed

Use this skill when you need to work with pubmed through its generated async Python app, call its MCP-backed functions from code, or inspect available functions with the mcp-skill CLI.

当你需要通过生成的异步Python应用操作PubMed、通过代码调用其基于MCP的函数，或使用mcp-skill CLI查看可用函数时，可使用本技能。

Authentication

身份验证

No authentication required.

python

app = PubmedApp()

Passing an

auth

argument is accepted but has no effect and will emit a warning.

无需身份验证。

python

app = PubmedApp()

传入

auth

参数是被允许的，但不会产生任何效果，并且会发出警告。

Dependencies

依赖项

This skill requires the following Python packages:

```
mcp-skill
```

Install with uv:

bash

uv pip install mcp-skill

Or with pip:

bash

pip install mcp-skill

本技能需要以下Python包：

```
mcp-skill
```

使用uv安装：

bash

uv pip install mcp-skill

或使用pip安装：

bash

pip install mcp-skill

Python Usage

Python使用方法

Use the generated app directly in async Python code:

python

import asyncio
from pubmed.app import PubmedApp


async def main():
    app = PubmedApp()
    result = await app.search_articles(query="example", max_results=1, sort="example")
    print(result)


asyncio.run(main())

直接在异步Python代码中使用生成的应用：

python

import asyncio
from pubmed.app import PubmedApp


async def main():
    app = PubmedApp()
    result = await app.search_articles(query="example", max_results=1, sort="example")
    print(result)


asyncio.run(main())

Async Usage Notes

异步使用注意事项

Every generated tool method is
```
async
```
, so call it with
```
await
```
.
Use these apps inside an async function, then run that function with
```
asyncio.run(...)
```
if you are in a script.
If you forget
```
await
```
, you will get a coroutine object instead of the actual tool result.
Be careful when mixing this with other event-loop environments such as notebooks, web servers, or async frameworks.

每个生成的工具方法都是
```
async
```
的，因此需要使用
```
await
```
调用。
在异步函数内使用这些应用，如果是在脚本中，使用
```
asyncio.run(...)
```
运行该函数。
如果忘记使用
```
await
```
，你将得到一个协程对象而非实际的工具结果。
在混合使用其他事件循环环境（如笔记本、Web服务器或异步框架）时需谨慎。

Discover Functions with the CLI

使用CLI发现函数

Use the CLI to find available apps, list functions on an app, and inspect a function before calling it:

bash

uvx mcp-skill list-apps
uvx mcp-skill list-functions pubmed
uvx mcp-skill inspect pubmed search_articles

Important: Add

.agents/skills

to your Python path so imports resolve correctly:

python

import sys
sys.path.insert(0, ".agents/skills")
from pubmed.app import PubmedApp

Or set the

PYTHONPATH

environment variable:

bash

export PYTHONPATH=".agents/skills:$PYTHONPATH"

Preferred: use
uv run
(handles dependencies automatically):

bash

PYTHONPATH=.agents/skills uv run --with mcp-skill python -c "
import asyncio
from pubmed.app import PubmedApp

async def main():
    app = PubmedApp()
    result = await app.search_articles(query="example", max_results=1, sort="example")
    print(result)

asyncio.run(main())
"

Alternative: use
python
directly (install dependencies first):

bash

pip install mcp-skill
PYTHONPATH=.agents/skills python -c "
import asyncio
from pubmed.app import PubmedApp

async def main():
    app = PubmedApp()
    result = await app.search_articles(query="example", max_results=1, sort="example")
    print(result)

asyncio.run(main())
"

使用CLI查找可用应用、列出某个应用的函数，并在调用前查看函数详情：

bash

uvx mcp-skill list-apps
uvx mcp-skill list-functions pubmed
uvx mcp-skill inspect pubmed search_articles

重要提示： 将

.agents/skills

添加到Python路径中，以便正确解析导入：

python

import sys
sys.path.insert(0, ".agents/skills")
from pubmed.app import PubmedApp

或设置

PYTHONPATH

环境变量：

bash

export PYTHONPATH=".agents/skills:$PYTHONPATH"

推荐方式：使用
uv run
（自动处理依赖项）：

bash

PYTHONPATH=.agents/skills uv run --with mcp-skill python -c "
import asyncio
from pubmed.app import PubmedApp

async def main():
    app = PubmedApp()
    result = await app.search_articles(query=\"example\", max_results=1, sort=\"example\")
    print(result)

asyncio.run(main())
"

替代方式：直接使用
python
（需先安装依赖项）：

bash

pip install mcp-skill
PYTHONPATH=.agents/skills python -c "
import asyncio
from pubmed.app import PubmedApp

async def main():
    app = PubmedApp()
    result = await app.search_articles(query=\"example\", max_results=1, sort=\"example\")
    print(result)

asyncio.run(main())
"