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Automate LinkedIn profiles, messages, feed actions, and job searches in a real browser.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "LinkedIn MCP" yet — see the docs or source repo.
Use LinkedIn MCP to search LinkedIn in a browser for 'Product Manager in Shanghai' roles and organize the results for review.
Organized job search results for later filtering or follow-up.
Use LinkedIn MCP to open my LinkedIn messages, find unread conversations, and summarize them by contact and topic.
A categorized summary of unread messages to speed up communication handling.
Use LinkedIn MCP to review my LinkedIn profile page and list key fields that may need updates.
A review of profile-related details and a list of fields that may need updates.
Marketers, sales teams, or recruiters can use it to handle LinkedIn messaging and interaction flows in a real browser, reducing repetitive clicks. It fits ongoing outreach and follow-up work.
Job seekers or researchers can use it to run LinkedIn job searches and organize the results into a more reviewable format. It is useful when roles need to be searched and compared frequently.
Users maintaining a personal brand or company presence can use it for profile management and feed interaction tasks. It suits day-to-day LinkedIn profile and content operations.
This is an MCP server for LinkedIn automation. It uses Playwright to perform profile management, messaging, feed interaction, and job search actions in a real browser.
The description states that it uses Playwright and real browser automation to perform actions. For installation details and runtime prerequisites, see the source repository.
The available information shows it performs programmable automation through a real browser rather than being described only as an API-based tool. For exact differences and limits, see the source repository.
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