# RateMyProfessors MCP Server

> Use this tool when you need to fetch professor ratings, reviews, and comments from RateMyProfessors.com, solving the problem of manually searching for professor information. It integrates with MCP clients, taking professor queries as input and outputting relevant ratings and reviews. Ideal for use cases where users want to research professors and plan their course schedules efficiently.

Canonical page: https://skillsregistry.net/skills/tohmze-ratemyprofessors-mcp  
JSON: https://api.skillsregistry.net/v1/skills/tohmze-ratemyprofessors-mcp

## Description

An unofficial MCP server for RateMyProfessors.com that enables fetching professor ratings, reviews, and comments. Integrates with MCP clients like Claude Desktop.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/tletpsezlq)
- **Repository:** <https://github.com/tohmze/ratemyprofessors-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": "tohmze-ratemyprofessors-mcp"
    }
  }
}
```

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