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Dev-Anandhan

LinkedIn MCP Server

by Dev-Anandhan

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

Features and capabilities supported by this server

Protocol revision2025-11-25

CapabilityDetails
tools
{
  "listChanged": true
}
logging
{}
prompts
{
  "listChanged": false
}
resources
{
  "subscribe": false,
  "listChanged": false
}
extensions
{
  "io.modelcontextprotocol/ui": {}
}
experimental
{}

Tools

Functions exposed to the LLM to take actions

NameDescription
get_person_profileA

Get a specific person's LinkedIn profile.

Args: linkedin_username: LinkedIn username (e.g., 'satyanadella', 'jeffweiner08') sections: Comma-separated list of extra sections to scrape. The main profile page is always included. Available sections: experience, education, interests, honors, languages, contact_info, posts Default (None) scrapes only the main profile page.

search_peopleB

Search for people on LinkedIn.

Args: keywords: Search keywords (e.g., 'product manager', 'ML engineer at Meta') location: Optional location filter (e.g., 'London', 'Berlin')

get_company_profileA

Get a specific company's LinkedIn profile.

Args: company_name: LinkedIn company name (e.g., 'google', 'stripe', 'openai') sections: Comma-separated list of extra sections to scrape. The about page is always included. Available sections: posts, jobs Default (None) scrapes only the about page.

get_company_postsB

Get recent posts from a company's LinkedIn feed.

Args: company_name: LinkedIn company name (e.g., 'google', 'stripe', 'openai')

get_job_detailsB

Get job details for a specific job posting on LinkedIn.

Args: job_id: LinkedIn job ID (e.g., '3912045678', '4108763210')

search_jobsA

Search for jobs on LinkedIn.

Returns job_ids that can be passed to get_job_details for full info.

Args: keywords: Search keywords (e.g., 'backend developer', 'devops engineer') location: Optional location filter (e.g., 'Austin', 'Singapore') max_pages: Maximum number of result pages to load (1-10, default 3) date_posted: Filter by posting date (past_hour, past_24_hours, past_week, past_month) job_type: Filter by job type, comma-separated (full_time, part_time, contract, temporary, volunteer, internship, other) experience_level: Filter by experience level, comma-separated (internship, entry, associate, mid_senior, director, executive) work_type: Filter by work type, comma-separated (on_site, remote, hybrid) easy_apply: Only show Easy Apply jobs (default false) sort_by: Sort results (date, relevance)

apply_for_jobA

Attempt to Easy Apply for a job on LinkedIn.

This will navigate to the job page, click Easy Apply if available, and try to submit the application by clicking 'Next'/ 'Review' and 'Submit application'. If custom required fields are present, it will decline and return a message.

Args: job_id: LinkedIn job ID

close_browserA

Close the browser instance and release resources. Credentials are preserved.

check_session_statusA

Check if the current LinkedIn session is authenticated and valid.

start_loginA

Launch an interactive browser window to log in to LinkedIn. The user will complete the login in the pop-up window.

logout_and_cleanupA

Close the browser and completely wipe all stored LinkedIn credentials, cookies, and profile data for privacy.

share_postA

Create a new post on the user's LinkedIn feed.

Args: content: The text content of the post. image_path: Optional absolute file path to an image (jpg, png, gif) to attach to the post.

diagnose_linkA

Verify if a URL is accessible by LinkedIn's crawler (bot).

This checks for missing Open Graph (OG) tags, bot blocking (WAF/Cloudflare), and other common issues that cause link preview failures on LinkedIn.

Args: url: The absolute URL to diagnose (e.g., https://example.com).

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

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