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 | |||
Implementation Reference
- linkedin_mcp_server/tools/job.py:104-128 (handler)The async handler function that implements the core logic of get_recommended_jobs by using JobSearch scraper configured to fetch recommended jobs.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/tools/job.py:96-103 (registration)The @mcp.tool decorator registers the get_recommended_jobs function as an MCP tool with appropriate annotations and metadata.@mcp.tool( annotations=ToolAnnotations( title="Get Recommended Jobs", readOnlyHint=True, destructiveHint=False, openWorldHint=True, ) )
- linkedin_mcp_server/server.py:30-30 (registration)Invocation of register_job_tools which registers the job tools including get_recommended_jobs to the MCP server instance.register_job_tools(mcp)