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BACH-AI-Tools

LinkedIn Bulk Data Scraper

README.md
# Linkedin Bulk Data Scraper MCP Server

[English](./README_EN.md) | 简体中文 | [繁體中文](./README_ZH-TW.md)

用于访问 Linkedin Bulk Data Scraper API 的 MCP 服务器。

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---

## 简介

这是一个 MCP 服务器,用于访问 Linkedin Bulk Data Scraper API。

- **PyPI 包名**: `bach-linkedin_bulk_data_scraper`
- **版本**: 1.0.0
- **传输协议**: stdio


## 安装

### 从 PyPI 安装:

```bash
pip install bach-linkedin_bulk_data_scraper
```

### 从源码安装:

```bash
pip install -e .
```

## 运行

### 方式 1: 使用 uvx(推荐,无需安装)

```bash
# 运行(uvx 会自动安装并运行)
uvx --from bach-linkedin_bulk_data_scraper bach_linkedin_bulk_data_scraper

# 或指定版本
uvx --from bach-linkedin_bulk_data_scraper@latest bach_linkedin_bulk_data_scraper
```

### 方式 2: 直接运行(开发模式)

```bash
python server.py
```

### 方式 3: 安装后作为命令运行

```bash
# 安装
pip install bach-linkedin_bulk_data_scraper

# 运行(命令名使用下划线)
bach_linkedin_bulk_data_scraper
```

## 配置

### API 认证

此 API 需要认证。请设置环境变量:

```bash
export API_KEY="your_api_key_here"
```

### 环境变量

| 变量名 | 说明 | 必需 |
|--------|------|------|
| `API_KEY` | API 密钥 | 是 |
| `PORT` | 不适用 | 否 |
| `HOST` | 不适用 | 否 |



### 在 Cursor 中使用

编辑 Cursor MCP 配置文件 `~/.cursor/mcp.json`:


```json
{
  "mcpServers": {
    "bach-linkedin_bulk_data_scraper": {
      "command": "uvx",
      "args": ["--from", "bach-linkedin_bulk_data_scraper", "bach_linkedin_bulk_data_scraper"],
      "env": {
        "API_KEY": "your_api_key_here"
      }
    }
  }
}
```

### 在 Claude Desktop 中使用

编辑 Claude Desktop 配置文件 `claude_desktop_config.json`:

```json
{
  "mcpServers": {
    "bach-linkedin_bulk_data_scraper": {
      "command": "uvx",
      "args": ["--from", "bach-linkedin_bulk_data_scraper", "bach_linkedin_bulk_data_scraper"],
      "env": {
        "API_KEY": "your_api_key_here"
      }
    }
  }
}
```


## 可用工具

此服务器提供以下工具:


### `game_of_thrones`

Returns game of thrones data

**端点**: `GET /goat`



---


### `game_of_thrones_1`

Returns gama of thrones data

**端点**: `POST /goat`



---


### `ip_address`

Returns ip address

**端点**: `POST /ip_address`



---


### `ip_address_1`

Returns ip address

**端点**: `GET /ip_address`



---


### `advice`

Random advice

**端点**: `GET /advice`



---


### `advice_1`

Random advice

**端点**: `POST /advice`



---


### `shuffle`

Shuffles string

**端点**: `GET /shuffle`


**参数**:

- `string` (string): Example value: sama



---


### `shuffle_1`

Shuffles string

**端点**: `POST /shuffle`



---


### `number_facts`

Returns number facts

**端点**: `GET /number_facts`



---


### `nnumber_facts`

Returns Number facts

**端点**: `POST /number_facts`



---


### `joke`

Returns joke

**端点**: `GET /joke`



---


### `joke_1`

Returns joke

**端点**: `POST /joke`



---


### `cat_facts`

Returns cat facts

**端点**: `GET /cat_fact`



---


### `cat_facts_1`

Returns cat facts

**端点**: `POST /cat_fact`



---


### `dog_fact`

Rreturns dog fact

**端点**: `GET /dog_fact`



---


### `dog_fact_1`

Returns dog fact

**端点**: `POST /dog_fact`



---


### `random_dog_image`

Returns dog image

**端点**: `GET /random_dog_image`



---


### `random_dog_image_1`

Returns dog image

**端点**: `POST /random_dog_image`



---


### `random_triva_question`

Returns random triva question

**端点**: `GET /random_triva_question`



---


### `random_triva_question_1`

Returns random triva question

**端点**: `POST /random_triva_question`



---


### `universities_list`

Returns USA university list

**端点**: `GET /universities_list`



---


### `universities_list_1`

Returns USA universities list

**端点**: `POST /universities_list`



---


### `json_placeholder`

Returns json placeholder

**端点**: `POST /json_placeholder`



---


### `json_placeholder_1`

Returns json placeholder

**端点**: `GET /json_placeholder`



---


### `ping`

Checks server health

**端点**: `POST /{ping}`


**参数**:

- `ping` (string) *必需*: Example value: ping



---


### `ping_1`

Check server health

**端点**: `GET /{ping}`


**参数**:

- `ping` (string) *必需*: Example value: ping



---



## 技术栈

- **传输协议**: stdio
- **HTTP 客户端**: httpx


## 许可证

MIT License - 详见 [LICENSE](./LICENSE) 文件。

## 开发

此服务器由 [API-to-MCP](https://github.com/BACH-AI-Tools/api-to-mcp) 工具生成。

版本: 1.0.0

TDQS

D1.8/5.0

Scored across 26 tools

Disambiguation1/5

Many tools are exact duplicates with only a '_1' suffix (e.g., advice and advice_1; cat_facts and cat_facts_1), making them indistinguishable. Even unique tools like joke and random_dog_image have no clear distinction between their duplicates.

Naming Consistency1/5

Naming is chaotic: some use underscore_separated words, others have typos (e.g., 'random_triva_question'), and duplicates inconsistently append '_1'. No consistent verb_noun or camelCase pattern.

Tool Count2/5

26 tools is excessive for a set of only ~13 unique functionalities, especially given the server's purported purpose of LinkedIn scraping. The duplication bloats the count without adding value.

Completeness1/5

The server name implies LinkedIn data scraping, yet none of the tools pertain to LinkedIn or data extraction. The tool set is a random collection of unrelated APIs, severely incomplete for its stated domain.

Maintenance

ActivityInactive
ResponsivenessNo issues