# consent-mcp

> consent-mcp — sairajm-consent-mcp. Use this tool when you need to manage consent-based processes, particularly in scenarios requiring user agreement tracking and compliance. The consent-mcp tool solves problems related to user consent management, data privacy, and regulatory adherence. It accepts git inputs and provides consent management outputs, ideal for use cases involving sensitive data handling and user permission tracking.

Canonical page: https://skillsregistry.net/skills/sairajm-consent-mcp  
JSON: https://api.skillsregistry.net/v1/skills/sairajm-consent-mcp

## Description

MCP Server with Consent based tools

## Trust

- **Trust score (0–1):** 0.80
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/sairajm/consent-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": "sairajm-consent-mcp"
    }
  }
}
```

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