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@horizondatawave/mcp
Advanced tools
A Model Context Protocol (MCP) server that provides access to Horizon Data Wave's LinkedIn and Instagram APIs
HDW MCP Server exposes several tools through the MCP protocol. Each tool is defined with its name, description, and input parameters:
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).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).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).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).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).Get LinkedIn User Comments
Name: get_linkedin_user_comments
Description: Retrieve comments for a LinkedIn user by URN.
Parameters:
urn
(required): User URN (with prefix).count
(optional, default: 10).timeout
(optional, default: 300).commented_after
(optional): Filter comments created after the specified timestamp.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).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).Send LinkedIn Connection Request
Name: send_linkedin_connection
Description: Send a connection invitation to a LinkedIn user.
Parameters:
user
(required).timeout
(optional, default: 300).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).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).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).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).Get LinkedIn Post Reactions
Name: get_linkedin_post_reactions
Description: Retrieve reactions for a LinkedIn post.
Parameters:
urn
(required): Post URN (must start with activity:
).count
(optional, default: 50).timeout
(optional, default: 300).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).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).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).Search Reddit Posts
Name: search_reddit_posts
Description: Search for Reddit posts with various filters.
Parameters:
query
(required): Main search query.sort
(optional, default: "relevance"
; allowed values: "relevance"
, "hot"
, "top"
, "new"
, "comments"
).time_filter
(optional, default: "all"
; allowed values: "all"
, "year"
, "month"
, "week"
, "day"
, "hour"
).count
(required): Max result count.timeout
(optional, default: 300).Get Instagram User
Name: get_instagram_user
Description: Get Instagram user information by URL, alias or ID.
Parameters:
user
(required): User ID, alias or URL.timeout
(optional, default: 300): Timeout in seconds (20-1500).Get Instagram User Posts
Name: get_instagram_user_posts
Description: Get Instagram user posts.
Parameters:
user
(required): User ID, alias or URL.count
(required): Max result count.timeout
(optional, default: 300): Timeout in seconds (20-1500).Get Instagram Post Comments
Name: get_instagram_post_comments
Description: Get Instagram post comments.
Parameters:
post
(required): Post ID.count
(required): Max result count.timeout
(optional, default: 300): Timeout in seconds (20-1500).To install HDW MCP Server for Claude Desktop automatically via Smithery:
npx -y @smithery/cli install @horizondatawave/hdw-mcp-server --client claude
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
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.
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
Update your Claude configuration file (claude_desktop_config.json
) with the following content:
{
"mcpServers": {
"hdw": {
"command": "npx",
"args": ["-y","@horizondatawave/mcp"],
"env": {
"HDW_ACCESS_TOKEN": "YOUR_HD_W_ACCESS_TOKEN",
"HDW_ACCOUNT_ID": "YOUR_HD_W_ACCOUNT_ID"
}
}
}
}
Configuration file location:
~/Library/Application Support/Claude/claude_desktop_config.json
%APPDATA%\Claude\claude_desktop_config.json
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
Update your Windsurf configuration file (mcp_config.json
) with the following content:
{
"mcpServers": {
"hdw": {
"command": "npx",
"args": ["-y","@horizondatawave/mcp"],
"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.
Below is an example configuration for an MCP client (e.g., a custom integration):
{
"mcpServers": {
"hdw": {
"command": "npx",
"args": ["-y","@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.
This project is licensed under the MIT License.
FAQs
A Model Context Protocol (MCP) server that provides access to Horizon Data Wave's LinkedIn and Instagram APIs
We found that @horizondatawave/mcp demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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