# ai.noveum/noveum

> ai.noveum/noveum — ai-noveum-noveum. Use this tool when you need to monitor and improve the performance of large language models (LLMs), retrieval-augmented generation (RAG), and agent applications. Noveum observability helps solve issues with model tracing, evaluation, and optimization, providing valuable insights to enhance app functionality. It accepts model inputs and outputs performance metrics, making it ideal for use cases where model transparency and efficiency are crucial.

Canonical page: https://skillsregistry.net/skills/ai-noveum-noveum  
JSON: https://api.skillsregistry.net/v1/skills/ai-noveum-noveum

## Description

Trace, evaluate, and optimize your LLM, RAG, and agent apps with Noveum observability.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-02

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/ai.noveum%2Fnoveum)

## Use it

MCP endpoint published by the skill: `https://noveum.ai/api/mcp`

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": "ai-noveum-noveum"
    }
  }
}
```

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