# mem0-oss-mcp

> Use this tool when you need to manage memories across systems, bridging MCP to a self-hosted Mem0 OSS server for seamless memory operations. It solves problems of memory data siloing and inefficiency by enabling add, search, update, and delete functions. With inputs of memory data and MCP connections, it outputs managed memories, ideal for use cases requiring centralized memory management.

Canonical page: https://skillsregistry.net/skills/steinx-mem0-oss-mcp  
JSON: https://api.skillsregistry.net/v1/skills/steinx-mem0-oss-mcp

## Description

Bridges MCP to a self-hosted Mem0 OSS server, enabling memory management operations like adding, searching, updating, and deleting memories.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **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/hm51law77y)
- **Repository:** <https://github.com/SteinX/mem0-oss-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": "steinx-mem0-oss-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/steinx-mem0-oss-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/steinx-mem0-oss-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