# Openterms-mcp

> Use this tool when you need to ensure transparent and controlled AI decision-making, as it provides cryptographic proof of consent and enforces policies such as spending caps and action whitelists. It solves problems of unregulated AI actions and non-compliance with predefined rules, offering independently verifiable outputs. Input policies and actions, and output verified proofs of consent and enforced decisions.

Canonical page: https://skillsregistry.net/skills/jstibal-openterms-mcp  
JSON: https://api.skillsregistry.net/v1/skills/jstibal-openterms-mcp

## Description

Cryptographic proof of consent for AI agents. Sign before you act. Policy engine enforces spending caps, action whitelists, and escalation rules. Independently verifiable by anyone.

## Trust

- **Trust score (0–1):** 0.85
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** finance
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/v4xk1w2fdi)
- **Repository:** <https://github.com/jstibal/openterms-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "jstibal-openterms-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jstibal-openterms-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jstibal-openterms-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt