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.