# Graphiti-Memory MCP Server

> Use this tool when you need to store and query complex knowledge graphs with ease, solving problems of data organization and retrieval in applications that require entity recognition and relationship mapping. It takes in natural language inputs and outputs relevant graph data, enabling efficient management of memories and entities. Ideal for use cases involving knowledge graph construction, entity extraction, and semantic search.

Canonical page: https://skillsregistry.net/skills/alankyshum-graphiti-memory  
JSON: https://api.skillsregistry.net/v1/skills/alankyshum-graphiti-memory

## Description

Enables storing and querying memories in a Neo4j knowledge graph with automatic entity extraction. Supports adding episodes, searching entities and relationships, and managing graph data through natural language.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/v8l4lh3d8f)
- **Repository:** <https://github.com/alankyshum/graphiti-memory>

## 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": "alankyshum-graphiti-memory"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alankyshum-graphiti-memory` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alankyshum-graphiti-memory/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