Sponsored by Deepsite.site

HDW MCP Server

Created By
MCP-Mirror9 months ago
Mirror of
Content

HDW MCP Server

A Model Context Protocol (MCP) server that provides comprehensive access to LinkedIn data and functionalities using the HorizonDataWave API, enabling not only data retrieval but also robust management of user accounts.

Features

  • LinkedIn Users Search: Filter and search for LinkedIn users by keywords, name, title, company, location, industry, and education.
  • Profile Lookup: Retrieve detailed profile information for a LinkedIn user.
  • Email Lookup: Find LinkedIn user details by email address.
  • Posts & Reactions: Retrieve a user's posts and associated reactions.
  • Post Reposts & Comments: Retrieve reposts and comments for a specific LinkedIn post.
  • Account Management:
    • Chat Functionality: Retrieve and send chat messages via the LinkedIn management API.
    • Connection Management: Send connection invitations to LinkedIn users.
    • Post Commenting: Create comments on LinkedIn posts or replies.
    • User Connections: Retrieve a list of a user's LinkedIn connections.
  • Company Search & Details:
    • Google Company Search: Find LinkedIn companies using Google search – the first result is typically the best match.
    • Company Lookup: Retrieve detailed information about a LinkedIn company.
    • Company Employees: Retrieve employees for a given LinkedIn company.
  • Google Search

Tools

HDW MCP Server exposes several tools through the MCP protocol. Each tool is defined with its name, description, and input parameters:

  1. Search LinkedIn Users
    Name: search_linkedin_users
    Description: Search for LinkedIn users with various filters.
    Parameters:

    • keywords (optional): Any keyword for search.
    • first_name, last_name, title, company_keywords, school_keywords (optional).
    • current_company, past_company, location, industry, education (optional).
    • count (optional, default: 10): Maximum number of results (max 1000).
    • timeout (optional, default: 300): Timeout in seconds (20–1500).
  2. Get LinkedIn Profile
    Name: get_linkedin_profile
    Description: Retrieve detailed profile information about a LinkedIn user.
    Parameters:

    • user (required): User alias, URL, or URN.
    • with_experience, with_education, with_skills (optional, default: true).
  3. Get LinkedIn Email User
    Name: get_linkedin_email_user
    Description: Look up LinkedIn user details by email.
    Parameters:

    • email (required): Email address.
    • count (optional, default: 5).
    • timeout (optional, default: 300).
  4. Get LinkedIn User Posts
    Name: get_linkedin_user_posts
    Description: Retrieve posts for a LinkedIn user by URN.
    Parameters:

    • urn (required): User URN (must include prefix, e.g. fsd_profile:...).
    • count (optional, default: 10).
    • timeout (optional, default: 300).
  5. Get LinkedIn User Reactions
    Name: get_linkedin_user_reactions
    Description: Retrieve reactions for a LinkedIn user by URN.
    Parameters:

    • urn (required).
    • count (optional, default: 10).
    • timeout (optional, default: 300).
  6. Get LinkedIn Chat Messages
    Name: get_linkedin_chat_messages
    Description: Retrieve top chat messages from the LinkedIn management API.
    Parameters:

    • user (required): User URN (with prefix).
    • count (optional, default: 20).
    • timeout (optional, default: 300).
  7. Send LinkedIn Chat Message
    Name: send_linkedin_chat_message
    Description: Send a chat message using the LinkedIn management API.
    Parameters:

    • user (required): Recipient user URN (with prefix).
    • text (required): Message text.
    • timeout (optional, default: 300).
  8. Send LinkedIn Connection Request
    Name: send_linkedin_connection
    Description: Send a connection invitation to a LinkedIn user.
    Parameters:

    • user (required).
    • timeout (optional, default: 300).
  9. Send LinkedIn Post Comment
    Name: send_linkedin_post_comment
    Description: Create a comment on a LinkedIn post or reply.
    Parameters:

    • text (required): Comment text.
    • urn (required): Activity or comment URN.
    • timeout (optional, default: 300).
  10. Get LinkedIn User Connections
    Name: get_linkedin_user_connections
    Description: Retrieve a list of LinkedIn user connections.
    Parameters:

    • connected_after (optional): Timestamp filter.
    • count (optional, default: 20).
    • timeout (optional, default: 300).
  11. Get LinkedIn Post Reposts
    Name: get_linkedin_post_reposts
    Description: Retrieve reposts for a LinkedIn post.
    Parameters:

    • urn (required): Post URN (must start with activity:).
    • count (optional, default: 10).
    • timeout (optional, default: 300).
  12. Get LinkedIn Post Comments
    Name: get_linkedin_post_comments
    Description: Retrieve comments for a LinkedIn post.
    Parameters:

    • urn (required).
    • sort (optional, default: "relevance"; allowed values: "relevance", "recent").
    • count (optional, default: 10).
    • timeout (optional, default: 300).
  13. Get LinkedIn Google Company
    Name: get_linkedin_google_company
    Description: Search for LinkedIn companies via Google – the first result is typically the best match.
    Parameters:

    • keywords (required): Array of company keywords.
    • with_urn (optional, default: false).
    • count_per_keyword (optional, default: 1; range 1–10).
    • timeout (optional, default: 300).
  14. Get LinkedIn Company
    Name: get_linkedin_company
    Description: Retrieve detailed information about a LinkedIn company.
    Parameters:

    • company (required): Company alias, URL, or URN.
    • timeout (optional, default: 300).
  15. Get LinkedIn Company Employees
    Name: get_linkedin_company_employees
    Description: Retrieve employees of a LinkedIn company.
    Parameters:

    • companies (required): Array of company URNs.
    • keywords, first_name, last_name (optional).
    • count (optional, default: 10).
    • timeout (optional, default: 300).

Setup Guide

1. Clone the Repository (macOS)

Open your terminal and run the following commands:

# Clone the repository
git clone https://github.com/horizondatawave/hdw-mcp-server.git

# Change directory to the project folder
cd hdw-mcp-server

# Install dependencies
npm install

2. Obtain Your API Credentials

Register at app.horizondatawave.ai to get your API key and 100 free credits. You will receive your HDW_ACCESS_TOKEN and HDW_ACCOUNT_ID.


3. Configure the Environment

Create a .env file in the root of your project with the following content:

HDW_ACCESS_TOKEN=YOUR_HD_W_ACCESS_TOKEN
HDW_ACCOUNT_ID=YOUR_HD_W_ACCOUNT_ID

4. Client Configuration

4.1 Claude Desktop

Update your Claude configuration file (claude_desktop_config.json) with the following content:

{
  "mcpServers": {
    "hdw": {
      "command": "npx",
      "args": ["@horizondatawave/mcp"],
      "env": {
        "HDW_ACCESS_TOKEN": "YOUR_HD_W_ACCESS_TOKEN",
        "HDW_ACCOUNT_ID": "YOUR_HD_W_ACCOUNT_ID"
      }
    }
  }
}

Configuration file location:

  • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
  • Windows: %APPDATA%\Claude\claude_desktop_config.json

4.2 Cursor

Easy way:
Open Cursor Settings and add a new MCP server with the command:

env HDW_ACCESS_TOKEN=your-access-token HDW_ACCOUNT_ID=your-account-id node /path/to/your/build/index.js

Safe way:
Copy the provided template run.template.sh to a new file (e.g. run.sh), update it with your credentials, and configure Cursor to run:

sh /path/to/your/run.sh

4.3 Windsurf

Update your Windsurf configuration file (mcp_config.json) with the following content:

{
  "mcpServers": {
    "hdw": {
      "command": "node",
      "args": ["/path/to/your/build/index.js"],
      "env": {
        "HDW_ACCESS_TOKEN": "YOUR_HD_W_ACCESS_TOKEN",
        "HDW_ACCOUNT_ID": "YOUR_HD_W_ACCOUNT_ID"
      }
    }
  }
}

Note: After configuration, you can disable official web tools to conserve your API credits.


MCP Client Example Configuration

Below is an example configuration for an MCP client (e.g., a custom integration):

{
  "mcpServers": {
    "hdw": {
      "command": "npx",
      "args": ["@horizondatawave/mcp"],
      "env": {
        "HDW_ACCESS_TOKEN": "YOUR_HD_W_ACCESS_TOKEN",
        "HDW_ACCOUNT_ID": "YOUR_HD_W_ACCOUNT_ID"
      }
    }
  }
}

Replace the paths and credentials with your own values.

License

This project is licensed under the MIT License.

Recommend Servers
TraeBuild with Free GPT-4.1 & Claude 3.7. Fully MCP-Ready.
Amap Maps高德地图官方 MCP Server
TimeA Model Context Protocol server that provides time and timezone conversion capabilities. This server enables LLMs to get current time information and perform timezone conversions using IANA timezone names, with automatic system timezone detection.
MiniMax MCPOfficial MiniMax Model Context Protocol (MCP) server that enables interaction with powerful Text to Speech, image generation and video generation APIs.
EdgeOne Pages MCPAn MCP service designed for deploying HTML content to EdgeOne Pages and obtaining an accessible public URL.
Howtocook Mcp基于Anduin2017 / HowToCook (程序员在家做饭指南)的mcp server,帮你推荐菜谱、规划膳食,解决“今天吃什么“的世纪难题; Based on Anduin2017/HowToCook (Programmer's Guide to Cooking at Home), MCP Server helps you recommend recipes, plan meals, and solve the century old problem of "what to eat today"
MCP AdvisorMCP Advisor & Installation - Use the right MCP server for your needs
Jina AI MCP ToolsA Model Context Protocol (MCP) server that integrates with Jina AI Search Foundation APIs.
Baidu Map百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
BlenderBlenderMCP connects Blender to Claude AI through the Model Context Protocol (MCP), allowing Claude to directly interact with and control Blender. This integration enables prompt assisted 3D modeling, scene creation, and manipulation.
Playwright McpPlaywright MCP server
ChatWiseThe second fastest AI chatbot™
Serper MCP ServerA Serper MCP Server
AiimagemultistyleA Model Context Protocol (MCP) server for image generation and manipulation using fal.ai's Stable Diffusion model.
WindsurfThe new purpose-built IDE to harness magic
Tavily Mcp
Visual Studio Code - Open Source ("Code - OSS")Visual Studio Code
DeepChatYour AI Partner on Desktop
Zhipu Web SearchZhipu Web Search MCP Server is a search engine specifically designed for large models. It integrates four search engines, allowing users to flexibly compare and switch between them. Building upon the web crawling and ranking capabilities of traditional search engines, it enhances intent recognition capabilities, returning results more suitable for large model processing (such as webpage titles, URLs, summaries, site names, site icons, etc.). This helps AI applications achieve "dynamic knowledge acquisition" and "precise scenario adaptation" capabilities.
Context7Context7 MCP Server -- Up-to-date code documentation for LLMs and AI code editors
CursorThe AI Code Editor