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moonlabsai

EnrichB2B MCP Server

by moonlabsai

MCP 模板服务器

一个实现模型上下文协议 (MCP) 的模板服务器,集成了 OpenAI、Anthropic 和 EnrichB2B。

设置

  1. 创建虚拟环境:

python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate
  1. 安装依赖项:

pip install -r requirements.txt
  1. 设置环境变量:

cp .env.example .env
# Edit .env with your API keys and configuration

Related MCP server: Prospeo MCP Server

运行服务器

开发模式:

python server.py

或者使用 MCP CLI:

mcp dev server.py

特征

  • OpenAI GPT-4 集成

  • 人择克劳德积分

  • EnrichB2B LinkedIn 数据集成

  • FastAPI 和 Uvicorn 服务器

  • 环境配置

  • 示例资源和工具

  • 结构化项目布局

项目结构

.
├── .env.example          # Template for environment variables
├── .gitignore           # Git ignore rules
├── README.md            # This file
├── requirements.txt     # Python dependencies
├── enrichb2b.py        # EnrichB2B API client
└── server.py           # MCP server implementation

用法

  1. 启动服务器

  2. 使用任何 MCP 客户端进行连接

  3. 使用提供的工具和资源:

    • config://app获取服务器配置

    • get_profile_details - 获取 LinkedIn 个人资料信息

    • get_contact_activities - 获取 LinkedIn 用户最近的活动和帖子

    • gpt4_completion - 使用 GPT-4 生成文本

    • claude_completion - 使用 Claude 生成文本

    • analysis_prompt - 文本分析模板

EnrichB2B 工具

获取个人资料详情

获取有关 LinkedIn 个人资料的详细信息:

result = await get_profile_details(
    linkedin_url="https://www.linkedin.com/in/username",
    include_company_details=True,
    include_followers_count=True
)

获取联系人活动

从 LinkedIn 个人资料中获取最近的活动和帖子:

result = await get_contact_activities(
    linkedin_url="https://www.linkedin.com/in/username",
    pages=1,  # Number of pages (1-50)
    comments_per_post=1,  # Comments per post (0-50)
    likes_per_post=None  # Likes per post (0-50)
)

发展

要添加新功能:

  1. 使用@mcp.tool()装饰器添加新工具

  2. 使用@mcp.resource()装饰器添加新资源

  3. 使用@mcp.prompt()装饰器添加新提示

执照

麻省理工学院

F
license - not found
Not graded
quality - not tested
D
maintenance

Maintenance

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