# RateMySupervisor_MCP

> Use this tool when you need to evaluate academic supervisors or find a suitable advisor, as it provides access to ratings and reviews from urfire.com, allowing users to query by name, university, or department with intelligent fuzzy matching for accurate results. It solves problems of finding reliable information on supervisors and academic advisors, especially for those with Chinese names. The tool takes in queries such as names, universities, or departments and outputs relevant supervisor evaluations and ratings.

Canonical page: https://skillsregistry.net/skills/cjl196-ratemysupervisor-mcp  
JSON: https://api.skillsregistry.net/v1/skills/cjl196-ratemysupervisor-mcp

## Description

An MCP server that provides access to supervisor evaluations and ratings from urfire.com, allowing users to query academic advisors by name, university, or department. It features intelligent fuzzy matching for supervisor names in both Chinese and Pinyin to ensure accurate search results.

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/d6vv1o9p22)
- **Repository:** <https://github.com/CJL196/RateMySupervisor_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": "cjl196-ratemysupervisor-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/cjl196-ratemysupervisor-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/cjl196-ratemysupervisor-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