# MCP-Mem0

> Use this tool when you need to enable AI agents to store and retrieve memories using semantic search, providing persistent memory capabilities to enhance their decision-making and learning abilities. It integrates with Mem0 to solve problems related to knowledge retention and retrieval, and accepts inputs such as memory queries and stores outputs as retrievable memories. Ideal for use cases where AI agents require contextual understanding and recall of previous interactions or experiences.

Canonical page: https://skillsregistry.net/skills/888greys-mcp  
JSON: https://api.skillsregistry.net/v1/skills/888greys-mcp

## Description

A template implementation of the Model Context Protocol server that integrates with Mem0 to provide AI agents with persistent memory capabilities for storing, retrieving, and searching memories using semantic search.

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/d97zc7k3hr)
- **Repository:** <https://github.com/888Greys/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": "888greys-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/888greys-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/888greys-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