LinkedIn MCP Server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| LINKEDIN_COOKIE | No | LinkedIn li_at cookie value for scraping (e.g., 'li_at=YOUR_COOKIE_VALUE'). Required if using browser-based scraping. | |
| LINKEDIN_CLIENT_ID | No | LinkedIn OAuth client ID for API access. | |
| LINKEDIN_API_VERSION | No | LinkedIn API version (e.g., '202510'). Defaults to 202510. | 202510 |
| LINKEDIN_ACCESS_TOKEN | No | LinkedIn OAuth access token for API access. | |
| LINKEDIN_CLIENT_SECRET | No | LinkedIn OAuth client secret for API access. |
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
| Capability | Details |
|---|---|
| tools | {
"listChanged": true
} |
| prompts | {
"listChanged": false
} |
| resources | {
"subscribe": false,
"listChanged": false
} |
| experimental | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| get_person_profileA | Get a specific person's LinkedIn profile. Args: linkedin_username (str): LinkedIn username (e.g., "stickerdaniel", "anistji") Returns: Dict[str, Any]: Structured data from the person's profile |
| get_company_profileA | Get a specific company's LinkedIn profile. Args: company_name (str): LinkedIn company name (e.g., "docker", "anthropic", "microsoft") get_employees (bool): Whether to scrape the company's employees (slower) Returns: Dict[str, Any]: Structured data from the company's profile |
| get_job_detailsA | Get job details for a specific job posting on LinkedIn Args: job_id (str): LinkedIn job ID (e.g., "4252026496", "3856789012") Returns: Dict[str, Any]: Structured job data including title, company, location, posting date, application count, and job description (may be empty if content is protected) |
| search_jobsB | Search for jobs on LinkedIn using a search term. Args: search_term (str): Search term to use for the job search. Returns: List[Dict[str, Any]]: List of job search results |
| get_recommended_jobsB | Get your personalized recommended jobs from LinkedIn Returns: List[Dict[str, Any]]: List of recommended jobs |
| close_sessionA | Close the current browser session and clean up resources. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 6 tools
Each tool has a clear, distinct purpose: session management, company profiles, person profiles, job details, recommended jobs, and job search. No two tools overlap in functionality.
All tool names follow a consistent verb_noun pattern in snake_case (e.g., get_company_profile, search_jobs), making them predictable and easy to understand.
With 6 tools, the set is well-scoped for a LinkedIn-focused server covering profiles and jobs without being overwhelming or sparse.
The tool surface covers basic read operations (profiles, jobs) but lacks common interaction capabilities like sending messages, posting updates, or managing connections, leaving notable gaps.