MCP Linkedin

🚀 MCP Linkedin

A Model Context Protocol (MCP) server that provides tools to interact with LinkedIn's Feed and Jobs APIs.

This implementation uses the unofficial LinkedIn API through LinkedIn-api. Use at your own risk.

🚀 Quick Start

📦 Installation via Smithery

Automatically install the LinkedIn interaction server for Claude Desktop via Smithery:

npx -y @smithery/cli install mcp-linkedin --client claude

⚙️ Configuration

{
    "mcpServers": {
        "linkedin": {
            "command": "uvx",
            "args": ["--from", "git+https://github.com/adhikasp/mcp-linkedin", "mcp-linkedin"],
            "env": {
                "LINKEDIN_EMAIL": "Your LinkedIn email",
                "LINKEDIN_PASSWORD": "Your LinkedIn password"
            }
        }
    }
}

💻 Usage Examples

📄 Get Feed Posts

Use mcp-client-cli

$ llm What are the latest updates on LinkedIn Feed? Don't mention anyone's name

I'll retrieve the recent LinkedIn Feed posts without mentioning any specific names.

Tool Call:
  get_feed_posts
  Parameters:
    limit: 10

Based on the LinkedIn Feed, here are the key points without specific names:

1. Data Science and Cybersecurity Insights:
   - A post about a large tech company's vast dataset
   - Includes 13 million pieces of evidence from 6100 organizations
   - Covers 441 MITRE ATT&CK techniques

2. DevOps Community Events:
   - A local DevOps event held at a tech company's office
   - Topics discussed include AWS Lambda, Kubernetes scaling, Terraform
   - Emphasizes the importance of networking and continuous learning
   - Shares experiences of transitioning between technical roles

3. Enterprise Collaboration Software:
   - Advice from solution engineers
   - Requires strong communication skills
   - Technical consulting background
   - Experience with enterprise-level software

4. Open Source Project Contributors:
   - Advice on becoming a contributor to open source projects
   - Highlights the importance of code review and documentation
   - Emphasizes continuous learning and adapting to new technologies

5. Cloud Native Application Development:
   - Shares insights on cloud native application development
   - Discusses the importance of containerization, microservices architecture, and continuous integration/delivery
   - Emphasizes security and maintainability
   - Explores the choice of different cloud computing platforms and their impacts

6. Technical Leadership:
   - Advice on technical leadership
   - Shares experiences on effectively communicating technical decisions
   - Discusses ways to balance technical requirements with business goals
   - Emphasizes team collaboration and culture building

7. Career Development:
   - Provides insights on career development
   - Shares experiences on enhancing skills through continuous learning and adapting to new technologies
   - Explores ways to build a personal brand and expand professional networks
   - Emphasizes setting goals and tracking progress

8. Technical Debt Management:
   - Discusses strategies for handling technical debt
   - Analyzes different types of technical debt and their impacts
   - Provides advice on evaluating and prioritizing technical debt
   - Explores best practices for implementing technical debt management in projects

9. Secure Development Practices:
   - Shares experiences in secure development
   - Discusses the importance of code review, vulnerability management, and security testing
   - Explores ways to implement a zero-trust architecture
   - Emphasizes data protection and privacy

10. Open Source Community Participation:
    - Provides advice on participating in the open source community
    - Shares experiences on effectively contributing to open source projects
    - Discusses how to build a reputation in the open source environment
    - Explores the value of collaborative development and open communication

These posts cover a wide range of technical topics, providing rich insights and practical advice. Hope this information helps! If you have specific questions or need further discussion, feel free to let me know.

👨‍💼 Job Analysis Example

$ llm Analyze these job opportunities

⚠️ Important Note

This implementation uses the unofficial LinkedIn API through LinkedIn-api. Use at your own risk.