get_recommended_jobs
Retrieve personalized job recommendations from LinkedIn based on your profile and preferences to identify relevant career opportunities.
Instructions
Get your personalized recommended jobs from LinkedIn
Returns: List[Dict[str, Any]]: List of recommended jobs
Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Output Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| result | Yes |
Implementation Reference
- linkedin_mcp_server/tools/job.py:81-105 (handler)The core handler function for the 'get_recommended_jobs' tool. It uses LinkedIn's JobSearch class configured to scrape recommended jobs and returns a list of job dictionaries. Includes error handling.
@mcp.tool() async def get_recommended_jobs() -> List[Dict[str, Any]]: """ Get your personalized recommended jobs from LinkedIn Returns: List[Dict[str, Any]]: List of recommended jobs """ try: driver = safe_get_driver() logger.info("Getting recommended jobs") job_search = JobSearch( driver=driver, close_on_complete=False, scrape=True, # Enable scraping to get recommended jobs scrape_recommended_jobs=True, ) if hasattr(job_search, "recommended_jobs") and job_search.recommended_jobs: return [job.to_dict() for job in job_search.recommended_jobs] else: return [] except Exception as e: return handle_tool_error_list(e, "get_recommended_jobs") - linkedin_mcp_server/server.py:26-29 (registration)Registration point where register_job_tools(mcp) is called, which in turn registers the get_recommended_jobs tool via @mcp.tool() decorator.
# Register all tools register_person_tools(mcp) register_company_tools(mcp) register_job_tools(mcp)