# cfr_mcp_server

> cfr_mcp_server — mr-xn-cfr-mcp-server. Use this tool when you need to implement a Model Context Protocol server with Python, to solve problems related to model context management and reverse engineering, and it takes in model data as input and outputs decomcompiled models via Server-Sent Events protocol. It is particularly useful for managing and analyzing model contexts in a scalable and efficient manner. The tool can be integrated with git for version control and collaboration.

Canonical page: https://skillsregistry.net/skills/mr-xn-cfr-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/mr-xn-cfr-mcp-server

## Description

这是一个基于 Python 的 MCP (Model Context Protocol) 服务器实现，封装了 `cfr.jar` 反编译功能，并支持 SSE (Server-Sent Events) 传输协议。

## Trust

- **Trust score (0–1):** 0.79
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** Apache-2.0
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/Mr-xn/cfr_mcp_server)

## 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": "mr-xn-cfr-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mr-xn-cfr-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mr-xn-cfr-mcp-server/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