# global_salary_inflation_adjuster

Adjusts salary benchmarks for local inflation using OECD, IMF, and World Bank data. Designed for CHROs to normalize compensation across regions with accurate inflation adjustments. Inputs include country codes, base salary, and reference year. Outputs inflation-adjusted salary with data sources and warnings.

Agent View of the PolicyLayer registry record for `global_salary_inflation_adjuster`. HTML page: https://policylayer.com/tools/io-github-getgapup-gapup-mcp/global-salary-inflation-adjuster

## Facts

- Tool: `global_salary_inflation_adjuster`
- Server: Gapup Mcp (`https://mcp.gapup.io/mcp`) — https://policylayer.com/tools/io-github-getgapup-gapup-mcp.md
- Homepage: https://github.com/getgapup/gapup-mcp-public
- Risk category: Read (Low risk)
- Registry record: grade F, identity unverified
- Server auth posture: open
- Server rate-limited: no
- Parameters: 5 (3 required)
- Recommended policy verdict: Allowed

## Parameters

| Parameter | Type | Required | Description |
| --- | --- | --- | --- |
| `async` | boolean | no | 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 ti |
| `baseSalary` | number | yes |  |
| `targetYear` | number | no |  |
| `countryCode` | string | yes |  |
| `referenceYear` | number | yes |  |

Parameters from the server's own tool schema.

## Example call (MCP tools/call, JSON-RPC 2.0)

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "global_salary_inflation_adjuster",
    "arguments": {
      "baseSalary": 0,
      "countryCode": "<countryCode>",
      "referenceYear": 0
    }
  }
}
```

## Why global_salary_inflation_adjuster is rated Low

This tool retrieves and processes publicly available macroeconomic data (OECD, IMF, World Bank) to compute inflation-adjusted salary figures. It performs a read/query operation — taking inputs and returning calculated outputs — with no side effects, writes, deletions, or financial transactions. Misuse risk is low as it only surfaces compensation benchmarking information.

From the tool's own definition: "Adjusts salary benchmarks for local inflation using OECD, IMF, and World Bank data... Outputs inflation-adjusted salary with data sources and warnings."

Risk signals: Bulk/mass operation — affects multiple targets

## Use case

AI agents call global_salary_inflation_adjuster to retrieve information from Gapup Mcp without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

## Recommended policy (PolicyLayer)

Verdict: **Allowed**. Enforced by the PolicyLayer MCP gateway (https://policylayer.com/mcp-gateway) before a call reaches Gapup Mcp:

```json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "global_salary_inflation_adjuster": {}
  }
}
```

## Other tools on Gapup Mcp (270)

- `adversarial_input_stress_tester` — Execute — https://policylayer.com/tools/io-github-getgapup-gapup-mcp/adversarial-input-stress-tester.md
- `dora_operational_resilience_stress_tes` — Execute — https://policylayer.com/tools/io-github-getgapup-gapup-mcp/dora-operational-resilience-stress-tes.md
- `financial_model_3statement` — Execute — https://policylayer.com/tools/io-github-getgapup-gapup-mcp/financial-model-3statement.md
- `gl_reconciler` — Execute — https://policylayer.com/tools/io-github-getgapup-gapup-mcp/gl-reconciler.md
- `lgpd_data_subject_rights_automator` — Execute — https://policylayer.com/tools/io-github-getgapup-gapup-mcp/lgpd-data-subject-rights-automator.md
- `monte_carlo_portfolio` — Execute — https://policylayer.com/tools/io-github-getgapup-gapup-mcp/monte-carlo-portfolio.md
- `process_mining` — Execute — https://policylayer.com/tools/io-github-getgapup-gapup-mcp/process-mining.md
- `ugc_moderation_classifier` — Execute — https://policylayer.com/tools/io-github-getgapup-gapup-mcp/ugc-moderation-classifier.md
- `workflow_orchestrator` — Execute — https://policylayer.com/tools/io-github-getgapup-gapup-mcp/workflow-orchestrator.md
- `abm_architect` — Financial — https://policylayer.com/tools/io-github-getgapup-gapup-mcp/abm-architect.md
- `account_expansion_mapper` — Financial — https://policylayer.com/tools/io-github-getgapup-gapup-mcp/account-expansion-mapper.md
- `anti_demissions_hr` — Financial — https://policylayer.com/tools/io-github-getgapup-gapup-mcp/anti-demissions-hr.md
- `audit_pre_flight` — Financial — https://policylayer.com/tools/io-github-getgapup-gapup-mcp/audit-pre-flight.md
- `budget_variance_ai` — Financial — https://policylayer.com/tools/io-github-getgapup-gapup-mcp/budget-variance-ai.md
- `capacity_planning` — Financial — https://policylayer.com/tools/io-github-getgapup-gapup-mcp/capacity-planning.md
- `capital_strategy` — Financial — https://policylayer.com/tools/io-github-getgapup-gapup-mcp/capital-strategy.md
- `churn_defender` — Financial — https://policylayer.com/tools/io-github-getgapup-gapup-mcp/churn-defender.md
- `competitor_moves` — Financial — https://policylayer.com/tools/io-github-getgapup-gapup-mcp/competitor-moves.md
- `competitor_recommendations` — Financial — https://policylayer.com/tools/io-github-getgapup-gapup-mcp/competitor-recommendations.md
- `content_engine` — Financial — https://policylayer.com/tools/io-github-getgapup-gapup-mcp/content-engine.md
- `cross_sell_reco` — Financial — https://policylayer.com/tools/io-github-getgapup-gapup-mcp/cross-sell-reco.md
- `customer_voice_synth` — Financial — https://policylayer.com/tools/io-github-getgapup-gapup-mcp/customer-voice-synth.md
- `cyber_risk_auditor` — Financial — https://policylayer.com/tools/io-github-getgapup-gapup-mcp/cyber-risk-auditor.md
- `deal_structurer` — Financial — https://policylayer.com/tools/io-github-getgapup-gapup-mcp/deal-structurer.md
- `discovery_prep` — Financial — https://policylayer.com/tools/io-github-getgapup-gapup-mcp/discovery-prep.md
- `diversity_inclusion_metrics` — Financial — https://policylayer.com/tools/io-github-getgapup-gapup-mcp/diversity-inclusion-metrics.md
- `earnings_reviewer` — Financial — https://policylayer.com/tools/io-github-getgapup-gapup-mcp/earnings-reviewer.md
- `enps_auto` — Financial — https://policylayer.com/tools/io-github-getgapup-gapup-mcp/enps-auto.md
- `event_marketing` — Financial — https://policylayer.com/tools/io-github-getgapup-gapup-mcp/event-marketing.md
- `fraud_detector` — Financial — https://policylayer.com/tools/io-github-getgapup-gapup-mcp/fraud-detector.md
- …and 240 more: https://policylayer.com/tools/io-github-getgapup-gapup-mcp.md

## For agents

This record is a snapshot. Live verdicts and the full registry:

- Check every server in your MCP config at once: `npx -y policylayer stack`
- Vet a server before you add it: install the mcp-precheck skill — `npx skills add https://policylayer.com` (skill text: https://policylayer.com/skill.md)
- Query the registry over MCP: endpoint `https://api.policylayer.com/mcp` — tools `check_mcp_server`, `check_mcp_stack`, `check_tool`, `search_registry`, `get_change_events`

---

Source: the PolicyLayer MCP registry — one continuously verified record per MCP server. Full record: https://policylayer.com/registry?q=io-github-getgapup-gapup-mcp · API: https://policylayer.com/registry/api · Policy library: https://policylayer.com/policies/io-github-getgapup-gapup-mcp
