# mcp-memory-server

> mcp-memory-server — foxj77-mcp-memory-server. Use this tool when you need to provide AI agents with a shared, persistent memory for storing and retrieving knowledge graphs. It solves problems of data consistency and accessibility across multiple agents, enabling seamless collaboration and information exchange. The mcp-memory-server accepts MCP-compatible inputs and outputs, making it ideal for use cases involving knowledge-intensive tasks and multi-agent systems.

Canonical page: https://skillsregistry.net/skills/foxj77-mcp-memory-server  
JSON: https://api.skillsregistry.net/v1/skills/foxj77-mcp-memory-server

## Description

Persistent shared knowledge graph memory for AI agents via MCP — built for kagent, compatible with any MCP-capable agent framework

## Trust

- **Trust score (0–1):** 0.55
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** ai-ml
- **Updated:** 2026-09-21

## Source

- **Source listing:** [GitHub](https://github.com/foxj77/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": "foxj77-mcp-memory-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/foxj77-mcp-memory-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/foxj77-mcp-memory-server/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