# Yggdrasil

> Yggdrasil — it-square-plus-yggdrasil. Use this tool when you need to efficiently manage memory and enable semantic search for multiple projects simultaneously. Yggdrasil solves issues of memory isolation and scalable search by utilizing ONNX embeddings, Chroma Cloud storage, and path-based routing. It provides a robust interface for git-based projects, offering fast and reliable memory serving through FastMCP and FastAPI.

Canonical page: https://skillsregistry.net/skills/it-square-plus-yggdrasil  
JSON: https://api.skillsregistry.net/v1/skills/it-square-plus-yggdrasil

## Description

MCP memory server for Claude Code with semantic search. Chroma Cloud storage, ONNX embeddings, path-based routing. One container serves multiple projects with isolated memory spaces. FastMCP + FastAPI.

## Trust

- **Trust score (0–1):** 0.62
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/IT-Square-Plus/Yggdrasil)

## 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": "it-square-plus-yggdrasil"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/it-square-plus-yggdrasil` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/it-square-plus-yggdrasil/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