talent_poaching_risk

Active

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"
    }
  }
}

What this tool wraps· 0 endpoints

min confidence0.70 0.50

No endpoints wrapped at confidence ≥ 0.70.

Parent server

@gapup/mcp-knowledge

https://github.com/getgapup/gapup-mcp

2/7 registries

View full server →