# MCP Memory Server

> Use this tool when you need to persist and retrieve information across multiple sessions, leveraging a Markdown-based memory system with full-text search capabilities to enhance AI coding assistants like OpenCode and Claude Code. It solves problems of knowledge retention and recall, enabling seamless access to previously generated code and context. The tool accepts Markdown files as input and provides relevant information as output, making it ideal for use cases where persistent memory and efficient search are crucial.

Canonical page: https://skillsregistry.net/skills/feng111222-113-mcp-memory  
JSON: https://api.skillsregistry.net/v1/skills/feng111222-113-mcp-memory

## Description

Cross-session persistent memory system using Markdown files and SQLite FTS5 full-text search for AI coding assistants like OpenCode/Claude Code.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/iuj4sngraz)
- **Repository:** <https://github.com/feng111222-113/mcp-memory>

## 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": "feng111222-113-mcp-memory"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/feng111222-113-mcp-memory` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/feng111222-113-mcp-memory/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