talent_poaching_risk
ActiveTool of gapup-mcp
declared in 0.2.0
Analyzes employee poaching risk for CHROs by evaluating LinkedIn profile activity (job searches, profile views) and comparing compensation against BLS benchmarks. Returns a ranked list of high-risk employees with risk scores and suggested retention actions. Ideal for proactive talent retention strategies. Keywords: employee retention, poaching risk, compensation benchmark, LinkedIn activity, CHRO analytics.
Parameters schema
{
"type": "object",
"required": [
"department"
],
"properties": {
"async": {
"type": "boolean",
"description": "If true, returns a job_id immediately (<200ms) instead of waiting for the result. Poll the result with job_result(job_id). Use for slow tools to avoid client timeouts."
},
"location": {
"type": "string",
"description": "Geographic location filter (e.g., 'San Francisco, CA')"
},
"department": {
"type": "string",
"description": "Department filter (e.g., 'Engineering', 'Sales')"
},
"min_tenure_months": {
"type": "number",
"description": "Minimum tenure in months to include in analysis"
},
"benchmark_job_title": {
"type": "string",
"description": "Specific job title for compensation benchmarking"
}
}
}No endpoints wrapped at confidence ≥ 0.70.
Parent server
gapup-mcp
https://github.com/getgapup/gapup-mcp-public
2/7 registries