# Georgia Tech MCP Server

> Use this tool when you need to access Georgia Tech's course schedule system, enabling search for courses, subjects, and detailed course information. It solves problems related to course discovery and planning by providing large language models (LLMs) with a unified interface to retrieve relevant data. The tool takes in search queries as input and returns detailed course information as output, making it ideal for use cases that require up-to-date and accurate course data.

Canonical page: https://skillsregistry.net/skills/wondermuttt-gtmcp  
JSON: https://api.skillsregistry.net/v1/skills/wondermuttt-gtmcp

## Description

A Model Context Protocol server that provides LLMs with access to Georgia Tech's OSCAR course schedule system, enabling search for courses, subjects, and detailed course information.

## Trust

- **Trust score (0–1):** 0.03
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/hdgyg8a19m)
- **Repository:** <https://github.com/wondermuttt/gtmcp>

## 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": "wondermuttt-gtmcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/wondermuttt-gtmcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/wondermuttt-gtmcp/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