fridaydata-mcp-server

yashpanditrao/fridaydata-mcp-server

3.3

If you are the rightful owner of fridaydata-mcp-server and would like to certify it and/or have it hosted online, please leave a comment on the right or send an email to henry@mcphub.com.

FridayData MCP Server is a robust Model Context Protocol server offering LinkedIn scraping, web search, and website data extraction capabilities.

The FridayData MCP Server is a powerful tool designed to facilitate data extraction and analysis from various online sources. It provides a simple API interface with endpoints for LinkedIn profile scraping, company analysis, website information extraction, and web search. This server is particularly useful for businesses and developers looking to gather structured data from LinkedIn profiles and company pages, perform location-aware web searches, and extract custom data from websites. With a focus on reliability and efficiency, the server ensures all requests are processed within a 60-second timeout, with automatic abortion on timeout to prevent resource wastage. Error handling is robust, offering detailed messages and full error stack traces in development mode. The server's JSON response format and automatic response validation make it easy to integrate into existing systems.

Features

  • LinkedIn Profile Scraping: Extracts full profile data in JSON format with a 60-second timeout per request.
  • LinkedIn Company Analysis: Provides structured company insights with configurable timeout settings.
  • Website Data Extraction: Supports custom schema and flexible query parameters with built-in timeout protection.
  • Web Search Capabilities: Offers location-based searching with configurable result count and robust error handling.

Usages

usage with npx

{
  "friday_data_mcp": {
    "name": "Friday Data MCP",
    "command": "npx",
    "args": [
      "fridaydata-mcp"
    ],
    "env": {
      "FRIDAY_API_KEY": "YOUR_API_KEY"
    },
    "capabilities": {
      "tools": true,
      "resources": false,
      "prompts": false,
      "sampling": false
    }
  }
}