# Ninova MCP

> Use this tool when you need to integrate AI clients with ITU Ninova courses, providing access to course materials, announcements, and student information. It solves problems related to data retrieval and synchronization, enabling AI-powered applications to read and utilize Ninova data. The Ninova MCP server takes credential-based inputs and outputs relevant course data, making it ideal for use cases that require seamless interaction with Ninova courses and student information.

Canonical page: https://skillsregistry.net/skills/hikmedit-ninova-mcp  
JSON: https://api.skillsregistry.net/v1/skills/hikmedit-ninova-mcp

## Description

Ninova MCP is a credential-based Model Context Protocol server for ITU Ninova. It lets MCP-compatible AI clients read your own Ninova courses, announcements, files, assignments, grades, message boards, attendance, and deadlines.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/xi6dh9x1tr)
- **Repository:** <https://github.com/hikmedit/ninova-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": "hikmedit-ninova-mcp"
    }
  }
}
```

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