# procurement_okr_esg_aligner

Aligns procurement OKRs with ESG targets for COOs using GRI standards and EU TED procurement benchmarks. Inputs include procurement objectives and ESG focus areas (e.g., carbon reduction, supplier diversity). Outputs structured alignment scores, gap analysis, and actionable recommendations. Essential for COOs integrating sustainability into procurement strategy. Keywords: procurement, ESG, GRI, EU TED, OKR alignment, sustainability metrics.

Agent View of the PolicyLayer registry record for `procurement_okr_esg_aligner`. HTML page: https://policylayer.com/tools/io-github-getgapup-mcp-knowledge/procurement-okr-esg-aligner

## Facts

- Tool: `procurement_okr_esg_aligner`
- Server: Mcp Knowledge (`https://mcp.gapup.io`) — https://policylayer.com/tools/io-github-getgapup-mcp-knowledge.md
- Homepage: https://github.com/getgapup/gapup-mcp
- Risk category: Read (Low risk)
- Registry record: grade F, identity unverified
- Server auth posture: open
- Server rate-limited: no
- Parameters: 4 (2 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 |
| `esgFocusAreas` | array | yes |  |
| `industrySector` | string | no |  |
| `procurementObjectives` | array | 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": "procurement_okr_esg_aligner",
    "arguments": {
      "esgFocusAreas": [],
      "procurementObjectives": []
    }
  }
}
```

## Why procurement_okr_esg_aligner is rated Low

This tool takes procurement objectives and ESG focus areas as inputs and produces analytical outputs (alignment scores, gap analysis, recommendations). It reads/processes information and generates reports using GRI standards and EU TED benchmarks. There are no side effects, no data writes, no code execution, and no financial commitments involved. It is essentially a decision-support and analysis tool for COOs.

From the tool's own definition: "Outputs structured alignment scores, gap analysis, and actionable recommendations — purely analytical/reporting output with no data modification, execution, or financial transactions"

## Use case

AI agents call procurement_okr_esg_aligner to retrieve information from Mcp Knowledge 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 Mcp Knowledge:

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

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## 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-mcp-knowledge · API: https://policylayer.com/registry/api · Policy library: https://policylayer.com/policies/io-github-getgapup-mcp-knowledge