# MemoryMCP

> Use this tool when you need to efficiently manage and retain large amounts of Japanese language data, leveraging hybrid search and entity knowledge graphs to solve information retrieval and memory consolidation problems. It accepts text inputs and outputs visualized memory graphs, making it ideal for language learners and researchers seeking to optimize their knowledge retention. Effective in contexts where persistent and organized memory management is crucial, such as language learning and cultural research.

Canonical page: https://skillsregistry.net/skills/solidlime-memorymcp  
JSON: https://api.skillsregistry.net/v1/skills/solidlime-memorymcp

## Description

A persistent memory MCP server specialized for Japanese, featuring hybrid search, Ebbinghaus forgetting curve, entity knowledge graphs, and a web dashboard for memory visualization.

## Trust

- **Trust score (0–1):** 0.37
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** data-analytics
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/b4l5bovhhl)
- **Repository:** <https://github.com/solidlime/Nous>

## 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": "solidlime-memorymcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/solidlime-memorymcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/solidlime-memorymcp/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