# Walrus Memory MCP

> Walrus Memory MCP — commandosslabs-walrus-memory-mcp-plugin. Use this tool when you need to perform persistent memory operations, such as storing and retrieving data, analyzing information, or restoring previous states. It solves problems related to data management and retrieval, providing a secure connection to Walrus Memory through browser-based wallet login and local credential storage. Ideal for use cases requiring reliable and secure data storage and recall, with inputs including client requests and outputs including retrieved or analyzed data.

Canonical page: https://skillsregistry.net/skills/commandosslabs-walrus-memory-mcp-plugin  
JSON: https://api.skillsregistry.net/v1/skills/commandosslabs-walrus-memory-mcp-plugin

## Description

Enables MCP clients to connect to Walrus Memory for persistent memory operations like remember, recall, analyze, and restore, with browser-based wallet login and local credential storage.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** browser-automation
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/o38tz5q5fs)
- **Repository:** <https://github.com/CommandOSSLabs/walrus-memory-mcp-plugin>

## 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": "commandosslabs-walrus-memory-mcp-plugin"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/commandosslabs-walrus-memory-mcp-plugin` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/commandosslabs-walrus-memory-mcp-plugin/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