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francisco-perez-sorrosal

LinkedIn MCP Server

by francisco-perez-sorrosal
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Hybrid

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault

No arguments

Instructions

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Capabilities

Server capabilities have not been inspected yet.

Tools

Functions exposed to the LLM to take actions

NameDescription
get_url_for_jobs_searchA
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_idsA
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_metadataB
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_jobC
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

Prompts

Interactive templates invoked by user choice

NameDescription
adapt_cvPrompt 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

NameDescription

No resources

Deploy Server
One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

TDQS

A3.7/5.0

Scored across 4 tools

Disambiguation5/5

Each tool has a clearly distinct purpose: get_url_for_jobs_search generates search URLs, get_new_job_ids retrieves job IDs from those URLs, get_jobs_raw_metadata fetches metadata for specific jobs, and adapt_cv_to_latest_job adapts a CV to a particular job. There is no overlap in functionality, making tool selection unambiguous.

Naming Consistency5/5

All tool names follow a consistent verb_noun pattern using snake_case: get_url_for_jobs_search, get_new_job_ids, get_jobs_raw_metadata, and adapt_cv_to_latest_job. The naming is predictable and readable throughout the set.

Tool Count4/5

With 4 tools, the count is reasonable for a LinkedIn job search and CV adaptation server, covering key workflows from URL generation to CV tailoring. It might be slightly thin for broader LinkedIn operations, but it's well-scoped for its apparent purpose.

Completeness4/5

The tool set covers a complete job search and CV adaptation workflow: generating URLs, retrieving job IDs, fetching metadata, and adapting a CV. A minor gap is the lack of tools for direct LinkedIn profile interactions or job application submission, but the core domain is adequately covered for the stated purpose.

Maintenance

ActivityInactive
ResponsivenessNo issues

Resources