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LinkedIn Profile Server

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An intelligent bridge between Claude and LinkedIn. This MCP server empowers Claude to act as your high-level career consultant, capable of auditing your profile

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About

An intelligent bridge between Claude and LinkedIn. This MCP server empowers Claude to act as your high-level career consultant, capable of auditing your profile, optimizing your identity, and managing your professional content with real-time API access.

README

MCP Server TypeScript LinkedIn API Jest

Bilingual Documentation / Documentación Bilingüe
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🇺🇸 English Version

An intelligent bridge between Claude and LinkedIn. This MCP server empowers Claude to act as your high-level career consultant, capable of auditing your profile, optimizing your identity, and managing your professional content with real-time API access.

🏗 Architecture Overview

graph TD
    User((User)) <--> Claude[Claude AI]
    Claude <--> MCP[LinkedIn MCP Server]
    subgraph "Internal Logic"
        MCP --> Auth[OAuth 2.0 / Keytar]
        MCP --> Tools[40+ Professional Tools]
        MCP --> AI[AI-Assist Layer]
    end
    Tools <--> API[(LinkedIn API v2)]
    AI <--> Prompts[Strategic Templates]

✨ Key Features

  • Impact Audit: Data-driven analysis of your profile's effectiveness.
  • Identity Control: Precision updates for headlines and summaries.
  • Content Engine: Direct posting of updates and articles.
  • Smart ATS: Match your profile against specific job descriptions.
  • Security Hub: Mandatory diff previews and encrypted token storage.

🚀 Quick Start

Step Action Command
1 Clone git clone https://github.com/Thejosem4/linkedin-profile-mcp.git
2 Install npm install
3 Config cp .env.example .env
4 Build npm run build
5 Start npm start

🇪🇸 Versión en Español

Un puente inteligente entre Claude y LinkedIn. Este servidor MCP permite que Claude actúe como tu consultor de carrera de alto nivel, capaz de auditar tu perfil, optimizar tu identidad y gestionar tu contenido profesional con acceso en tiempo real a la API.

🏗 Vista General de la Arquitectura

graph TD
    User((Usuario)) <--> Claude[Claude AI]
    Claude <--> MCP[LinkedIn MCP Server]
    subgraph "Lógica Interna"
        MCP --> Auth[OAuth 2.0 / Keytar]
        MCP --> Tools[40+ Herramientas Prof.]
        MCP --> AI[Capa de Asistencia IA]
    end
    Tools <--> API[(API de LinkedIn v2)]
    AI <--> Prompts[Plantillas Estratégicas]

✨ Características Principales

  • Auditoría de Impacto: Análisis basado en datos sobre la efectividad de tu perfil.
  • Control de Identidad: Actualizaciones de precisión para titulares y extractos.
  • Motor de Contenido: Publicación directa de actualizaciones y artículos.
  • ATS Inteligente: Compara tu perfil contra descripciones de empleo específicas.
  • Hub de Seguridad: Previsualización de cambios obligatoria y almacenamiento cifrado.

🚀 Inicio Rápido

Paso Acción Comando
1 Clonar git clone https://github.com/Thejosem4/linkedin-profile-mcp.git
2 Instalar npm install
3 Configurar cp .env.example .env
4 Compilar npm run build
5 Iniciar npm start

⚙️ Configuration / Configuración (.env)

Detailed guide available in the Setup Guide. Guía detallada disponible en la Guía de Configuración.

📚 Resources / Recursos

📄 License / Licencia

MIT License © 2026 Thejosem4

from github.com/Thejosem4/linkedin-profile-mcp

Installing LinkedIn Profile Server

This server has no published package — it is built from source. Open the repository and follow its README.

▸ github.com/Thejosem4/linkedin-profile-mcp

FAQ

Is LinkedIn Profile Server MCP free?

Yes, LinkedIn Profile Server MCP is free — one-click install via Unyly at no cost.

Does LinkedIn Profile Server need an API key?

No, LinkedIn Profile Server runs without API keys or environment variables.

Is LinkedIn Profile Server hosted or self-hosted?

A hosted option is available: Unyly runs the server in the cloud, no local setup required.

How do I install LinkedIn Profile Server in Claude Desktop, Claude Code or Cursor?

Open LinkedIn Profile Server on unyly.org, pick your client tab (Claude Desktop, Claude Code, Cursor) and press Install — the config is generated automatically, no JSON editing.

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