Proxycurl MCP Server

This is a Node.js-based Model Context Protocol (MCP) server that exposes Proxycurl's LinkedIn data API. It can be used with any MCP-compatible client (e.g., Claude Desktop) to access LinkedIn profile data, company information, and search for employees.

Features

• Look up LinkedIn profiles by URL
• Look up LinkedIn companies by URL
• Find people by name and company
• Search for employees at a company by role or keyword

Prerequisites

• Node.js (v14 or higher)
• A Proxycurl API key (get one at https://nubela.co/proxycurl/)
• An MCP-compatible client (e.g., Claude Desktop)

Installation

1. Clone this repository:

   git clone https://github.com/dbogardus/proxycurl-mcp-server.git
   cd proxycurl-mcp-server
   

2. Install dependencies:

   npm install
   

3. Install the MCP server globally:

   npm install -g .
   

API Key Configuration

There are two ways to configure your Proxycurl API key:

Option 1: Environment Variable (for CLI usage)

Set the PROXYCURL_API_KEY environment variable:

export PROXYCURL_API_KEY=your_api_key_here

This is useful for development or when running the CLI directly.

Option 2: Example: Claude Desktop Configuration (recommended for Claude Desktop users)

To configure Claude Desktop to use this MCP server:

1. Open Claude Desktop

2. Click the settings (⚙️) icon in the top right

3. Select the "Model Context Protocol" tab

4. Click "Add MCP Configuration"

5. Enter the following information:

   • Name: Proxycurl LinkedIn API
   • Command: npx
   • Args: ["proxycurl-mcp", "--api-key", "YOUR_ACTUAL_API_KEY"]

   Example configuration in claude_desktop_config.json:

   {
     "mcpServers": [
       {
         "name": "Proxycurl LinkedIn API",
         "command": "npx",
         "args": ["proxycurl-mcp", "--api-key", "YOUR_ACTUAL_API_KEY"]
       }
     ]
   }
   

6. Replace YOUR_ACTUAL_API_KEY with your Proxycurl API key (get one at https://nubela.co/proxycurl/)

7. Click "Save"

8. Restart Claude Desktop to apply changes

Usage

Once configured, your MCP client will be able to access LinkedIn data through the following tools:

• get_person_profile: Get a person's LinkedIn profile by URL

  • Example: linkedinUrl: "https://www.linkedin.com/in/williamhgates"
  • Returns comprehensive profile data including experience, education, skills, certifications

• get_company_profile: Get a company's LinkedIn profile by URL

  • Example: linkedinUrl: "https://www.linkedin.com/company/microsoft"
  • Returns detailed company data including description, size, industry, and specialties

• lookup_person: Find a person's LinkedIn profile by name and company

  • Important: Requires both name and company parameters for best results
  • Example: name: "Bill Gates", company: "microsoft.com"
  • Returns LinkedIn URL for the person if found

• search_employees: Search for employees at a company with role and keyword filters

  • Example: linkedinUrl: "https://www.linkedin.com/company/microsoft", role: "Software Engineer"
  • Returns list of employees with basic profile information

• search_companies: Search for companies by name or domain

  • Example: query: "Microsoft" or query: "microsoft.com", limit: 5
  • Use this to find LinkedIn company URLs when you only have the company name

• search_people: Search for people on LinkedIn by keywords, title, company, and location

  • Example: query: "data science", title: "Lead", companyDomain: "microsoft.com", location: "Seattle"
  • Use this for finding professionals based on skills, job titles, or industries

• advanced_search_companies: Advanced search for companies with detailed filtering options

  • Example: country: "US", industry: "technology", employee_count_min: 1000, founded_after_year: 2010
  • Much more powerful than basic company search with many filtering options
  • Supports Boolean search expressions (AND, OR, NOT) in name and description fields
  • Can return up to 10,000,000 results per search

Development

To modify the server or add new features:

1. Edit server.js to add or modify API endpoints
2. Run npm install -g . to install your changes globally

Local Test Environment (test.env)

For local development and running test scripts (e.g., those in the tests/ directory) directly, you can use a test.env file in the project root to manage your API key and debug settings. This file is typically included in .gitignore and should not be committed to the repository.

Create a test.env file with the following content:

PROXYCURL_API_KEY=your_actual_proxycurl_api_key_here

Replace your_actual_proxycurl_api_key_here with your Proxycurl API key. The test scripts are often configured to load environment variables from this file if it exists.

License

MIT