# everos-mcp

> everos-mcp — songstephen123-everos-mcp. Use this tool when you need to integrate persistent memory into coding agents, enabling them to read and write data in Markdown format via the EverOS REST API. It solves problems of data persistence and compatibility for MCP-compatible coding agents, providing a seamless interface for inputting and outputting Markdown-backed memory. Ideal for use cases requiring durable data storage and retrieval in AI-powered applications.

Canonical page: https://skillsregistry.net/skills/songstephen123-everos-mcp  
JSON: https://api.skillsregistry.net/v1/skills/songstephen123-everos-mcp

## Description

Enables MCP-compatible coding agents to read and write persistent, Markdown-backed memory via the EverOS REST API.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/n6a2ypk90x)
- **Repository:** <https://github.com/songstephen123/everos-mcp>

## 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": "songstephen123-everos-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/songstephen123-everos-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/songstephen123-everos-mcp/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