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LinkedIn MCP Server

by francisco-perez-sorrosal

MIT License

Overview InspectNew Endpoints Schema Related Servers Reviews Score

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Server Configuration

Describes the environment variables required to run the server.

Name	Required	Description	Default
No arguments

Schema

Prompts

Interactive templates invoked by user choice

Name	Description
`adapt_cv`	Prompt for getting the latest jobgenerating a summary of Francisco Perez-Sorrosal's CV based on the specified parameters. Args: position: The position to search for jobs for location: The location to search for jobs for job_id: The job id to retrieve the metadata for Returns: str: The job details and the generated adapted CV tailored to the job description

Resources

Contextual data attached and managed by the client

Name	Description
No resources

Tools

Functions exposed to the LLM to take actions

Name	Description
get_url_for_jobs_search	Generates a properly encoded URL that can be used to search for jobs on LinkedIn. The generated URL is compatible with LinkedIn's job search API. Args: query: The search query string for jobs in LinkedIn. Returns: str: A properly encoded URL to search for jobs on LinkedIn.
get_new_job_ids	Gets the new job ids retrieved from the LinkedIn url passed as a parameter, exploring the number of pages specified. Args: url: The URL to search for jobs in LinkedIn num_pages: The number of pages to retrieve ids from Returns: A list with the new job IDs retrieved from the explored pages from the URL
get_jobs_raw_metadata	Gets the job raw metadata for the given job IDs passed as parameter. Args: job_ids: List of job IDs to get the job raw metadata for Returns: Dict job ids as keys, and the corresponding job metadata information as values (encoded also as a dictonary)
adapt_cv_to_latest_job	Adapts Francisco Perez-Sorrosal's CV to the position of the job description retrieved from linkedin for the particular location specified and based on the job id. Args: position: The position to search for jobs for location: The location where the job should be located job_id: The job id to retrieve the metadata for Returns: str: The job details and the generated adapted CV tailored to the job description

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