# StructureClerk

> StructureClerk — ca-structureclerk-mcp. Use this tool when you need to make informed policy decisions as an AI agent, such as ALLOW, DENY, APPROVE, or ESCALATE, across 192 jurisdictions with the ability to handle signed evidence. It solves problems related to decision-making, compliance, and risk management in various contexts. The tool accepts relevant data as input and outputs a decision based on predefined policies and jurisdictional rules.

Canonical page: https://skillsregistry.net/skills/ca-structureclerk-mcp  
JSON: https://api.skillsregistry.net/v1/skills/ca-structureclerk-mcp

## Description

AI agent policy decisions: ALLOW, DENY, APPROVE, ESCALATE. 192 jurisdictions, signed evidence.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 2.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-02

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/ca.structureclerk%2Fmcp)

## Use it

MCP endpoint published by the skill: `https://structureclerk.ca/api/mcp-http`

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": "ca-structureclerk-mcp"
    }
  }
}
```

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