# Memory MCP

> Use this tool when you need to persist long-term context and manage evolving information about entities, leveraging semantic vector retrieval and knowledge graphs to resolve conflicts and retain accurate memories. It solves problems of information loss and inconsistency, providing a reliable personal memory service. Ideal for applications requiring context-aware knowledge retention and evolution over time.

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

## Description

Personal memory service using semantic vector retrieval and knowledge graphs to persist long-term context, supporting memory evolution and conflict labeling for the same entity.

## Trust

- **Trust score (0–1):** 0.66
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/hmqob1al97)
- **Repository:** <https://github.com/kassol/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": "kassol-memory-mcp"
    }
  }
}
```

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