Jobspy Mcp Server

1 MIT

FreeCommunity

AI Systems

MCP Server for seamless job searching on LinkedIn using the unofficial API.

What is Jobspy Mcp Server

jobspy-mcp-server is a Model Context Protocol (MCP) server designed to facilitate seamless job searching on LinkedIn by leveraging the unofficial LinkedIn API for client credential management. It is based on the JobSpy project.

Use cases

Use cases for jobspy-mcp-server include automating job searches for recruiters, providing job alerts for job seekers, and integrating job search functionalities into other applications.

How to use

To use jobspy-mcp-server, set up the server environment according to the documentation provided in the README. Ensure you have the necessary credentials for the LinkedIn API and follow the instructions to initiate job searches.

Key features

Key features of jobspy-mcp-server include seamless integration with LinkedIn for job searching, client credential management, and a user-friendly interface based on the JobSpy framework.

Where to use

jobspy-mcp-server can be used in various fields such as recruitment, job placement services, and by individuals seeking job opportunities on LinkedIn.

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.

Claude Desktop: Official desktop application from Anthropic, natively supports MCP protocol. claude.ai

Cherry Studio: Cross-platform desktop client supporting multiple LLM providers, built-in MCP server support. cherry-ai.com

LobeChat: Modern open-source ChatGPT/LLMs UI, supports MCP protocol integration. lobehub.com

DeepChat: Cross-platform desktop AI assistant, compatible with MCP protocol, focusing on privacy and efficiency. deepchat.thinkinai.xyz

5ire: Cross-platform open-source desktop intelligent assistant MCP client, supports local knowledge base and MCP server. 5ire.app

View More MCP Clients

Overview

What is Jobspy Mcp Server

Use cases

Use cases for jobspy-mcp-server include automating job searches for recruiters, providing job alerts for job seekers, and integrating job search functionalities into other applications.

How to use

Key features

Key features of jobspy-mcp-server include seamless integration with LinkedIn for job searching, client credential management, and a user-friendly interface based on the JobSpy framework.

Where to use

jobspy-mcp-server can be used in various fields such as recruitment, job placement services, and by individuals seeking job opportunities on LinkedIn.

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.

Claude Desktop: Official desktop application from Anthropic, natively supports MCP protocol. claude.ai

Cherry Studio: Cross-platform desktop client supporting multiple LLM providers, built-in MCP server support. cherry-ai.com

LobeChat: Modern open-source ChatGPT/LLMs UI, supports MCP protocol integration. lobehub.com

DeepChat: Cross-platform desktop AI assistant, compatible with MCP protocol, focusing on privacy and efficiency. deepchat.thinkinai.xyz

5ire: Cross-platform open-source desktop intelligent assistant MCP client, supports local knowledge base and MCP server. 5ire.app

View More MCP Clients

Content

MCP Server for Job Searching

Overview

A Model Context Protocol (MCP) server designed to facilitate seamless job searching on LinkedIn, leveraging the unofficial LinkedIn API for client credential management. Based off JobSpy.

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.

Zed: High-performance collaborative code editor, supports MCP protocol, providing a smooth programming experience. zed.dev

Cursor: AI code editor built on VS Code, supports MCP protocol for context-aware programming. cursor.com

Windsurf: AI code editor from Codeium, integrates MCP protocol to provide intelligent code assistance. windsurf.com

Continue: Open-source AI programming assistant plugin, supports VS Code and JetBrains, compatible with MCP protocol. continue.dev

Trae: AI-driven code editor, supports MCP protocol, focusing on enhancing developer programming experience. trae.ai

View More MCP Dev Tools

Tools

No tools

Comments

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