# mcp-raven

> mcp-raven — arthurcgc-mcp-raven. Use this tool when you need to augment LLM agents with memory capabilities, enabling them to remember and recall information for enhanced performance. It solves problems of knowledge retention and retrieval, particularly in applications where agents require access to stored data. The mcp-raven tool accepts inputs from git and outputs recalled information, making it ideal for use cases where memory-augmented LLMs can improve efficiency and accuracy.

Canonical page: https://skillsregistry.net/skills/arthurcgc-mcp-raven  
JSON: https://api.skillsregistry.net/v1/skills/arthurcgc-mcp-raven

## Description

MCP memory server — LLM agents that remember and recall for you. Built on mcp-agent.

## Trust

- **Trust score (0–1):** 0.91
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/arthurcgc/mcp-raven)

## 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": "arthurcgc-mcp-raven"
    }
  }
}
```

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