# MCP Memory

> Use this tool when you need to retain user information across multiple conversations, enabling AI assistants to provide personalized and contextual responses. It solves the problem of knowledge loss between interactions, allowing for more cohesive and human-like dialogue. With input of user data and output of relevant memories, it's ideal for applications requiring ongoing user engagement and tailored support.

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

## Description

A MCP Server that gives AI assistants the ability to remember information about users across conversations using vector search technology.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/y77vonu2si)
- **Repository:** <https://github.com/XileForce/mcp-memory>

## 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": "xileforce-mcp-memory"
    }
  }
}
```

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