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Fridaydata Mcp Server
What is Fridaydata Mcp Server
fridaydata-mcp-server is a powerful Model Context Protocol (MCP) server designed for extracting structured data from LinkedIn profiles and company pages through a simple API interface.
Use cases
Use cases include extracting candidate profiles for recruitment, analyzing competitors’ company pages for market research, and gathering industry insights for business strategy development.
How to use
To use fridaydata-mcp-server, obtain your API key from Friday Data and configure your MCP client by adding the necessary settings, including your API key and command arguments.
Key features
Key features include automatic extraction of profile data (work experience, education, skills, certifications), company intelligence (company overview, employee count, industry information, recent updates), robust error handling, input validation, rate limiting, and automatic retries.
Where to use
fridaydata-mcp-server can be used in various fields such as recruitment, market research, business intelligence, and data analytics to gather insights from LinkedIn data.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Fridaydata Mcp Server
fridaydata-mcp-server is a powerful Model Context Protocol (MCP) server designed for extracting structured data from LinkedIn profiles and company pages through a simple API interface.
Use cases
Use cases include extracting candidate profiles for recruitment, analyzing competitors’ company pages for market research, and gathering industry insights for business strategy development.
How to use
To use fridaydata-mcp-server, obtain your API key from Friday Data and configure your MCP client by adding the necessary settings, including your API key and command arguments.
Key features
Key features include automatic extraction of profile data (work experience, education, skills, certifications), company intelligence (company overview, employee count, industry information, recent updates), robust error handling, input validation, rate limiting, and automatic retries.
Where to use
fridaydata-mcp-server can be used in various fields such as recruitment, market research, business intelligence, and data analytics to gather insights from LinkedIn data.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
FridayData MCP Server
A powerful Model Context Protocol (MCP) server providing access to LinkedIn scraping, web search, and website data extraction capabilities.
Overview
This MCP server exposes three key endpoints through a simple API interface:
- LinkedIn Profile Scraping (
/profile) - Extract structured data from LinkedIn profiles - LinkedIn Company Analysis (
/analyze-company) - Gather insights from company pages - Website Information Extraction (
/extract) - Extract custom data from any website - Web Search (
/search) - Perform location-aware web searches
Get started by obtaining your API key from Friday Data.
Key Features
-
LinkedIn Profile Scraping:
- Full profile data in JSON format
- 60 second timeout per request
- Error handling with detailed messages
- Automatic response validation
-
LinkedIn Company Analysis:
- POST request to
/analyze-company - Company insights in structured format
- Configurable timeout settings
- Comprehensive error reporting
- POST request to
-
Website Data Extraction:
- Custom schema support
- Flexible query parameters
- JSON response format
- Built-in timeout protection
-
Web Search Capabilities:
- Location-based searching (default: US)
- Configurable result count (1-100)
- Structured JSON responses
- Robust error handling
Technical Details
- All endpoints require
X-API-KEYheader - Responses are in JSON format
- 60 second timeout on all requests
- Automatic request abortion on timeout
- Full error stack traces in development
Quick Start
- Get your API key from Friday Data
Setup
Add this to your MCP client configuration:
{
"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
}
}
}
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.










