# SAGA

> Use this tool when you need to efficiently search and reorganize large document archives, solving problems of information retrieval and data management. It enables AI agents to perform hybrid searches and reorganize documents, folders, and metadata through MCP tools, accepting query inputs and producing organized document outputs. Ideal for use cases requiring streamlined document management and retrieval in complex archives.

Canonical page: https://skillsregistry.net/skills/mlauf-labs-saga-core  
JSON: https://api.skillsregistry.net/v1/skills/mlauf-labs-saga-core

## Description

Enables AI agents to perform fused hybrid search and reorganize documents, folders, and metadata in the SAGA document archive via MCP tools.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/xhzy56pmya)
- **Repository:** <https://github.com/mlauf-labs/saga-core>

## 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": "mlauf-labs-saga-core"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mlauf-labs-saga-core` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mlauf-labs-saga-core/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