# MCP Memory Server

> Use this tool when you need to provide persistent conversation context and enable semantic search across sessions for AI agents like Claude. It stores conversation history, entities, and allows for intelligent information retrieval, solving problems of context loss and knowledge fragmentation. Ideal for applications requiring continuous conversation flow and accurate information recall.

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

## Description

An MCP server that gives Claude persistent memory by storing conversation context, entities, and enabling semantic search across sessions.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/mr5cb1bvll)
- **Repository:** <https://github.com/PlumyCat/mcp-memory-server>

## 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": "plumycat-mcp-memory-server"
    }
  }
}
```

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