LinkedIn Browser MCP Server
A FastMCP-based server for LinkedIn automation and data extraction using browser automation. This server provides a set of tools for interacting with LinkedIn programmatically while respecting LinkedIn's terms of service and rate limits.
Features
- Secure Authentication
- Profile Operations
- Post Interactions
Prerequisites
- Python 3.8+
- Playwright
- FastMCP library
- LinkedIn account
Installation
- Clone the repository:
- Create and activate a virtual environment:
- Install dependencies:
- Set up environment variables:
Create a
.envfile in the root directory with:
Usage
- Start the MCP server:
- Available Tools:
login_linkedin_secure: Securely log in using environment credentials
browse_linkedin_feed: Browse and extract posts from feed
search_linkedin_profiles: Search for profiles matching criteria
view_linkedin_profile: View and extract data from specific profiles
interact_with_linkedin_post: Like, comment, or read posts
Example Usage
Security Features
- Encrypted cookie storage
- Rate limiting protection
- Secure credential management
- Session persistence
- Browser automation security measures
Best Practices
- Rate Limiting: The server implements rate limiting to prevent excessive requests:
- Error Handling: Comprehensive error handling for:
- Session Management:
Contributing
- Fork the repository
- Create a feature branch
- Commit your changes
- Push to the branch
- Create a Pull Request
License
MIT
Disclaimer
This tool is for educational purposes only. Ensure compliance with LinkedIn's terms of service and rate limiting guidelines when using this software.
LinkedIn Browser MCP Server
A FastMCP-based server for LinkedIn automation and data extraction using browser automation. This server provides a set of tools for interacting with LinkedIn programmatically while respecting LinkedIn's terms of service and rate limits.
Features
- Secure Authentication
- Profile Operations
- Post Interactions
Prerequisites
- Python 3.8+
- Playwright
- FastMCP library
- LinkedIn account
Installation
- Clone the repository:
- Create and activate a virtual environment:
- Install dependencies:
- Set up environment variables:
Create a
.envfile in the root directory with:
Usage
- Start the MCP server:
- Available Tools:
login_linkedin_secure: Securely log in using environment credentials
browse_linkedin_feed: Browse and extract posts from feed
search_linkedin_profiles: Search for profiles matching criteria
view_linkedin_profile: View and extract data from specific profiles
interact_with_linkedin_post: Like, comment, or read posts
Example Usage
Security Features
- Encrypted cookie storage
- Rate limiting protection
- Secure credential management
- Session persistence
- Browser automation security measures
Best Practices
- Rate Limiting: The server implements rate limiting to prevent excessive requests:
- Error Handling: Comprehensive error handling for:
- Session Management:
Contributing
- Fork the repository
- Create a feature branch
- Commit your changes
- Push to the branch
- Create a Pull Request
License
MIT
Disclaimer
This tool is for educational purposes only. Ensure compliance with LinkedIn's terms of service and rate limiting guidelines when using this software.