# mem0-mcp-selfhosted

> Use this tool when you need to deploy a self-hosted memory server for Claude Code, integrating with Qdrant, Neo4j, and Ollama to enhance language model capabilities. It solves problems related to data storage and retrieval for large language models, providing a complete memory server solution. This tool takes in Claude Code inputs and outputs enhanced model responses, ideal for use cases requiring customized and controlled AI infrastructure.

Canonical page: https://skillsregistry.net/skills/elvismdev-mem0-mcp-selfhosted  
JSON: https://api.skillsregistry.net/v1/skills/elvismdev-mem0-mcp-selfhosted

## Description

Self-hosted mem0 MCP server for Claude Code. Run a complete memory server against self-hosted Qdrant + Neo4j + Ollama while using Claude as the main LLM.

## Trust

- **Trust score (0–1):** 0.84
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ucv7zh8jdt)
- **Repository:** <https://github.com/elvismdev/mem0-mcp-selfhosted>

## 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": "elvismdev-mem0-mcp-selfhosted"
    }
  }
}
```

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