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
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Input Schema (JSON Schema)
{
"properties": {},
"type": "object"
}
Implementation Reference
- linkedin_mcp_server/tools/job.py:81-105 (handler)The main handler function decorated with @mcp.tool() that implements the get_recommended_jobs tool. It uses LinkedIn's JobSearch to scrape and return personalized recommended jobs as a list of dictionaries.@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)Calls register_job_tools(mcp) which registers the get_recommended_jobs tool (along with other job tools) to the MCP server.# Register all tools register_person_tools(mcp) register_company_tools(mcp) register_job_tools(mcp)