# MEFS MCP Server

> Use this tool when you need to store and retrieve AI-generated content in a decentralized manner. The MEFS MCP Server solves data storage and management problems for AI agents by providing a platform to save and retrieve data via content identifiers. It accepts generated content as input and returns stored data as output, ideal for use cases requiring secure and decentralized data management.

Canonical page: https://skillsregistry.net/skills/memoio-mefs-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/memoio-mefs-mcp-server

## Description

Provides decentralized storage for AI agents, enabling them to save generated content to MEFS and retrieve data via content identifiers.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-06-12

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/jlagscuy96)
- **Repository:** <https://github.com/memoio/mefs-mcp-server>

## 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": "memoio-mefs-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/memoio-mefs-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/memoio-mefs-mcp-server/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