A server based on the Model Context Protocol for integrating the Apollo.io API, enabling AI assistants to seamlessly access and manipulate Apollo.io data, including functions such as enriching and searching for people and organization information, and querying job postings.

The LinkedIn Model Context Protocol (MCP) Server provides functions for automated LinkedIn interactions through a standardized interface, including job search, resume generation, cover letter writing, and job application management.

The LinkedIn MCP Server is a local service based on the Model Context Protocol that enables interaction with LinkedIn through AI assistants like Claude, supporting functions such as profile scraping, company information analysis, and job search.

This project provides an MCP server for the JobNimbus API, enabling AI assistants to access and manipulate JobNimbus data, including workflow information such as contacts, tasks, and products, through a standardized tool.

The JobSpy MCP server is a tool that provides cross - platform job search functionality for AI assistants through the Model Context Protocol (MCP), supporting job searches on multiple platforms and structured data output.

The LinkedIn Job Posts Hunter MCP Server is a tool for automated LinkedIn job post search and management. It uses an AI assistant to call the Playwright browser automation tool to search for LinkedIn posts, saves the results to a local SQLite database, and provides a React visualization interface for post management and application tracking.

An MCP server project based on the Careerjet API, providing multilingual job search functionality, including advanced features such as keyword search, location filtering, and salary sorting, and supporting AI assistant integration.