# com.clauxel.mcpdeprecation/mcpdeprecation-mcp

> Use this tool when you need to manage and track deprecations for the MCP tool, receiving structured receipts and generating audit logs and reviewer-ready evidence. It solves problems related to deprecation management, providing a remote solution for MCP deprecation receipt and audit logging. Ideal for use cases requiring organized and reviewable deprecation evidence, with inputs including deprecation notices and outputs comprising structured receipts and audit logs.

Canonical page: https://skillsregistry.net/skills/com-clauxel-mcpdeprecation-mcpdeprecation-mcp  
JSON: https://api.skillsregistry.net/v1/skills/com-clauxel-mcpdeprecation-mcpdeprecation-mcp

## Description

Remote MCP for MCP tool deprecation receipt, structured receipts, audit logs, and reviewer-ready evi

## Trust

- **Trust score (0–1):** 0.92
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-19

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/com.clauxel.mcpdeprecation%2Fmcpdeprecation-mcp)
- **Repository:** <https://github.com/clauxel/mcp-deprecation-gate-mcp>

## Use it

MCP endpoint published by the skill: `https://mcpdeprecation.clauxel.com/mcp`

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": "com-clauxel-mcpdeprecation-mcpdeprecation-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/com-clauxel-mcpdeprecation-mcpdeprecation-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/com-clauxel-mcpdeprecation-mcpdeprecation-mcp/pull`

---
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