# Oumi MCP Server

> Use this tool when you need to streamline large language model (LLM) development and deployment, as it provides access to pre-configured YAML templates and guided workflows for tasks like fine-tuning, training, and evaluation. The Oumi MCP Server solves problems related to LLM configuration and parameter validation, enabling efficient searching and retrieval of recipes and configurations. It accepts input queries and parameters, and outputs validated configurations and workflows for various machine learning tasks.

Canonical page: https://skillsregistry.net/skills/aniruddh-alt-oumi-mcp  
JSON: https://api.skillsregistry.net/v1/skills/aniruddh-alt-oumi-mcp

## Description

Provides access to over 500 pre-configured YAML templates and guided workflows for fine-tuning, training, and evaluating LLMs like Llama and DeepSeek. It enables AI assistants to search for recipes, retrieve configurations, and validate parameters for various machine learning tasks.

## Trust

- **Trust score (0–1):** 0.57
- **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/eijyvo7iuz)
- **Repository:** <https://github.com/aniruddh-alt/oumi-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": "aniruddh-alt-oumi-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/aniruddh-alt-oumi-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/aniruddh-alt-oumi-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