# mcp-memory-implementation

> mcp-memory-implementation — verygoodplugins-mcp-memory-implementation. Use this tool when you need to implement a scalable and distributed memory service with multi-client support. It solves problems related to data synchronization and storage in cloud-based architectures, providing a production-ready solution for managing memory across multiple clients. The tool accepts git inputs and outputs a cloud-ready implementation with distributed sync capabilities.

Canonical page: https://skillsregistry.net/skills/verygoodplugins-mcp-memory-implementation  
JSON: https://api.skillsregistry.net/v1/skills/verygoodplugins-mcp-memory-implementation

## Description

Production-ready MCP Memory Service implementation with multi-client support, distributed sync, and cloud-ready architecture

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-20

## Source

- **Source listing:** [GitHub](https://github.com/verygoodplugins/mcp-memory-implementation)

## 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": "verygoodplugins-mcp-memory-implementation"
    }
  }
}
```

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

---
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
