# Multi-Memory MCP Server

> Use this tool when you need to organize and manage large amounts of information across multiple projects and contexts. The Multi-Memory MCP Server solves problems of data fragmentation and searchability by providing a centralized knowledge graph with persistent and isolated contexts. It accepts unique IDs and tokens as inputs and outputs searchable, categorized data, making it ideal for use cases involving large language models (LLMs) and information retrieval.

Canonical page: https://skillsregistry.net/skills/dannsk-multi-memory-mcp  
JSON: https://api.skillsregistry.net/v1/skills/dannsk-multi-memory-mcp

## Description

A knowledge graph memory server using SQLite to provide persistent, isolated contexts for organizing information into searchable categories like work and personal projects. It features unique ID-based operations and a token-efficient serialization format designed to optimize interactions with LLMs.

## Trust

- **Trust score (0–1):** 0.95
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/vxgfeur2ak)
- **Repository:** <https://github.com/DanNsk/multi-memory-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": "dannsk-multi-memory-mcp"
    }
  }
}
```

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