# mem0-mcp

> Use this tool when you need to integrate semantic memory search, graph entity relationships, and memory management capabilities into your application. It solves problems related to complex data relationships, entity disambiguation, and knowledge retrieval, providing a unified interface through the OpenMemory API. The mem0-mcp server takes in various data inputs and outputs relevant search results, entity relationships, and memory management insights.

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

## Description

Self-hosted Mem0 MCP server integrating Qdrant, Neo4j, and Ollama for semantic memory search, graph entity relationships, and memory management via OpenMemory API.

## 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/ql1cphx97o)
- **Repository:** <https://github.com/tensakulabs/mem0-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": "tensakulabs-mem0-mcp"
    }
  }
}
```

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