# Graphiti MCP Server

> Use this tool when you need to build and query complex knowledge graphs that retain memory of entities, relationships, and facts over time, enabling AI assistants to provide more accurate and contextual responses to user queries. It solves problems of information loss and inconsistency across conversations, providing a persistent memory of interactions. The Graphiti MCP Server takes in conversational data and outputs a temporally-aware knowledge graph, ideal for use cases requiring long-term memory and contextual understanding.

Canonical page: https://skillsregistry.net/skills/chen9z-graphiti-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/chen9z-graphiti-mcp-server

## Description

Enables AI assistants to build and query temporally-aware knowledge graphs from conversations and data, maintaining persistent memory of entities, relationships, and facts across interactions.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-04-21

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/j5lciezgio)
- **Repository:** <https://github.com/chen9z/graphiti_mcp_server>

## 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": "chen9z-graphiti-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/chen9z-graphiti-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/chen9z-graphiti-mcp-server/pull`

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