HDW MCP Server Integration for FlowHunt

What does “HDW” MCP Server do?

The HDW MCP Server is a Model Context Protocol (MCP) server designed to provide comprehensive access to LinkedIn data and functionalities by leveraging the HorizonDataWave API. It acts as a bridge between AI assistants and LinkedIn, enabling both data retrieval and robust management of LinkedIn user accounts. Developers can use the HDW MCP Server to search for LinkedIn users, retrieve detailed profiles, manage connections, interact with posts and comments, and even perform Google-powered company searches. By exposing these capabilities as tools, the server streamlines workflows for tasks such as talent sourcing, market research, account management, and more—all accessible programmatically for integration into AI-driven workflows.

List of Prompts

No information about prompt templates was found in the available repository files.

List of Resources

No explicit information about exposed MCP resources was found in the repository.

List of Tools

• search_linkedin_users
  Search for LinkedIn users with filters such as keywords, name, title, company, location, industry, education, and more.

• get_linkedin_profile
  Retrieve detailed profile information for a specific LinkedIn user by alias, URL, or URN.

• get_linkedin_profile_by_email
  Look up a LinkedIn user’s details using an email address.

• get_linkedin_posts
  Retrieve a user’s LinkedIn posts and associated reactions.

• get_linkedin_post_reposts_and_comments
  Retrieve reposts and comments for a specified LinkedIn post.

• send_linkedin_message
  Retrieve and send chat messages via the LinkedIn management API.

• send_linkedin_connection_invitation
  Send connection invitations to LinkedIn users.

• comment_on_linkedin_post
  Create comments on LinkedIn posts or replies.

• get_linkedin_connections
  Retrieve a list of a user’s LinkedIn connections.

• google_company_search
  Find LinkedIn companies using Google search, returning the best match.

• get_linkedin_company
  Retrieve detailed information about a LinkedIn company.

• get_linkedin_company_employees
  Retrieve employees for a given LinkedIn company.

• google_search
  Perform a standard Google search.

Use Cases of this MCP Server

• Talent Sourcing & Recruitment
  Use advanced user search and profile retrieval tools to identify and qualify candidates based on skills, experience, education, and location.

• Market and Competitor Research
  Retrieve company data, employee lists, and conduct company searches to analyze competitors or potential clients.

• Account Management
  Automate account interactions such as sending connection invitations, managing chats, and commenting on posts to streamline engagement workflows.

• Lead Generation & Outreach
  Use email lookup and robust search features to find prospects and initiate contact through LinkedIn messaging.

• Content and Community Engagement
  Monitor user posts, reactions, comments, and reposts to gauge engagement and automate content-related workflows.

How to set it up

Windsurf

1. Ensure Node.js and npm are installed as prerequisites.
2. Open your Windsurf configuration file.
3. Add the HDW MCP Server to the mcpServers section with the following JSON snippet:

   {
     "mcpServers": {
       "hdw-mcp": {
         "command": "npx",
         "args": ["@horizondatawave/hdw-mcp-server@latest"]
       }
     }
   }
   

4. Save the configuration and restart Windsurf.
5. Verify the setup by checking the MCP server is running and accessible.

Securing API Keys Example:

{
  "mcpServers": {
    "hdw-mcp": {
      "env": {
        "HDW_API_KEY": "${HDW_API_KEY}"
      },
      "inputs": {
        "api_key": "${HDW_API_KEY}"
      }
    }
  }
}

Claude

1. Make sure Node.js is installed.
2. Locate the Claude configuration file.
3. Add the HDW MCP Server to the mcpServers section:

   {
     "mcpServers": {
       "hdw-mcp": {
         "command": "npx",
         "args": ["@horizondatawave/hdw-mcp-server@latest"]
       }
     }
   }
   

4. Restart Claude.
5. Confirm the HDW MCP Server is available as a tool.

Securing API Keys Example:

{
  "mcpServers": {
    "hdw-mcp": {
      "env": {
        "HDW_API_KEY": "${HDW_API_KEY}"
      },
      "inputs": {
        "api_key": "${HDW_API_KEY}"
      }
    }
  }
}

Cursor

1. Install Node.js if not already installed.
2. Open Cursor’s configuration file.
3. Add the HDW MCP Server:

   {
     "mcpServers": {
       "hdw-mcp": {
         "command": "npx",
         "args": ["@horizondatawave/hdw-mcp-server@latest"]
       }
     }
   }
   

4. Save your changes and restart Cursor.
5. Check that the MCP server is running.

Securing API Keys Example:

{
  "mcpServers": {
    "hdw-mcp": {
      "env": {
        "HDW_API_KEY": "${HDW_API_KEY}"
      },
      "inputs": {
        "api_key": "${HDW_API_KEY}"
      }
    }
  }
}

Cline

1. Ensure Node.js is a prerequisite.
2. Edit the Cline configuration file.
3. Insert the HDW MCP Server config:

   {
     "mcpServers": {
       "hdw-mcp": {
         "command": "npx",
         "args": ["@horizondatawave/hdw-mcp-server@latest"]
       }
     }
   }
   

4. Save and restart Cline.
5. Verify the MCP server is active.

Securing API Keys Example:

{
  "mcpServers": {
    "hdw-mcp": {
      "env": {
        "HDW_API_KEY": "${HDW_API_KEY}"
      },
      "inputs": {
        "api_key": "${HDW_API_KEY}"
      }
    }
  }
}

How to use this MCP inside flows

Using MCP in FlowHunt

To integrate MCP servers into your FlowHunt workflow, start by adding the MCP component to your flow and connecting it to your AI agent:

Click on the MCP component to open the configuration panel. In the system MCP configuration section, insert your MCP server details using this JSON format:

{
  "hdw-mcp": {
    "transport": "streamable_http",
    "url": "https://yourmcpserver.example/pathtothemcp/url"
  }
}

Once configured, the AI agent is now able to use this MCP as a tool with access to all its functions and capabilities. Remember to change “hdw-mcp” to whatever the actual name of your MCP server is and replace the URL with your own MCP server URL.

Overview

Our opinion

The HDW MCP Server is well-documented regarding its tools and setup, with detailed LinkedIn integration features. However, it lacks explicit information about prompt templates, MCP resources, roots, and sampling support. Based on documentation completeness, open source license, and number of tools, a fair score would be:

MCP Score: 7/10

MCP Score