This MCP provides a secure platform for AI assistants to perform LinkedIn actions like profile management, job search, application, and resume creation, streamlining recruitment and personal branding processes.
Added on:
Created by:
Apr 13 2025
This MCP provides a secure platform for AI assistants to perform LinkedIn actions like profile management, job search, application, and resume creation, streamlining recruitment and personal branding processes.
Added on:
Created by:
Apr 13 2025
Rayyan Ahmed
Featured
What is LinkedIn Model Context Protocol Server?
The LinkedIn MCP server is a comprehensive solution that facilitates AI-driven interactions with LinkedIn. It supports authentication, profile management, job searches with detailed filters, resume and cover letter generation, job application submissions, and tracking. By implementing the Model Context Protocol, it ensures standardized JSON-RPC communication for seamless integration. The system is suitable for automating recruitment tasks, managing professional profiles, and assisting users in job hunting, all via programmatic API calls, enhancing efficiency in professional networking and employment processes.
Who will use LinkedIn Model Context Protocol Server?
- HR professionals
- Recruiters
- Job seekers
- AI developers integrating LinkedIn functionalities
- Career coaches
- Automation tool developers
How to use the LinkedIn Model Context Protocol Server?
- Step1: Clone the repository and set up environment
- Step2: Configure LinkedIn credentials and API keys in the .env file
- Step3: Run the server using 'python server.py'
- Step4: Send JSON-RPC requests for actions like login, job search, resume generation
- Step5: Use the API modules to perform desired LinkedIn operations programmatically
LinkedIn Model Context Protocol Server's Core Features & Benefits
The Core Features
- linkedin.login
- linkedin.logout
- linkedin.checkSession
- linkedin.getFeed
- linkedin.getProfile
- linkedin.searchJobs
- linkedin.getJobDetails
- linkedin.getRecommendedJobs
- linkedin.generateResume
- linkedin.generateCoverLetter
- linkedin.tailorResume
- linkedin.applyToJob
- linkedin.getApplicationStatus
- linkedin.getSavedJobs
- linkedin.saveJob
The Benefits
- Automates professional networking tasks
- Enhances efficiency in job hunting and application process
- Provides standardized and secure API for LinkedIn interactions
- Supports personalized resume and cover letter creation
- Facilitates programmatic management of LinkedIn profiles and activities
LinkedIn Model Context Protocol Server's Main Use Cases & Applications
- Automating job searches with custom filters
- Generating tailored resumes and cover letters for applications
- Managing multiple job applications efficiently
- Extracting and updating profile information
- Tracking application statuses via API
FAQs of LinkedIn Model Context Protocol Server
Developer
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