# Mem0 Memory MCP Server

> Use this tool when you need to store and retrieve context-specific memories, enabling efficient information recall and relevance-based searching. It solves problems related to knowledge management, information retrieval, and context-dependent data storage. The Mem0 Memory MCP Server takes in user-inputted memories and outputs relevant search results with scoring, ideal for applications requiring intelligent data storage and retrieval.

Canonical page: https://skillsregistry.net/skills/whysosaket-sample-mcp  
JSON: https://api.skillsregistry.net/v1/skills/whysosaket-sample-mcp

## Description

Enables memory storage and retrieval using Mem0, allowing users to store context-specific memories and search through them with relevance scoring.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-31

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/hxkqemcn7i)
- **Repository:** <https://github.com/whysosaket/sample-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": "whysosaket-sample-mcp"
    }
  }
}
```

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