# eva-mcp

> eva-mcp — franciszekamateu-eva-mcp. Use this tool when you need to access and query educational resources from EVA FING (Moodle of Facultad de Ingeniería, UdelaR) in a headless and automated manner. It solves problems of authentication and data retrieval for AI agents and users, providing outputs such as course information, announcements, and study materials. With inputs including authentication credentials and query parameters, eva-mcp enables seamless integration with educational platforms via Shibboleth authentication.

Canonical page: https://skillsregistry.net/skills/franciszekamateu-eva-mcp  
JSON: https://api.skillsregistry.net/v1/skills/franciszekamateu-eva-mcp

## Description

MCP server and CLI for EVA FING (Moodle of Facultad de Ingeniería, UdelaR) that authenticates headlessly via Shibboleth, enabling AI agents and users to query courses, announcements, activities, calendar, and study material.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/kw40jev4i5)
- **Repository:** <https://github.com/FranciszekaMateu/eva-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": "franciszekamateu-eva-mcp"
    }
  }
}
```

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