# Graphiti FastMCP Server

> Use this tool when you need to efficiently manage and query large knowledge graphs with temporal awareness, enabling AI agents to perform episodic ingestion, entity management, and semantic search. It solves problems related to information retrieval, entity disambiguation, and knowledge graph updates, accepting inputs from multiple LLM and embedding providers. Ideal for applications requiring complex knowledge graph management and querying, with outputs supporting informed decision-making and natural language understanding.

Canonical page: https://skillsregistry.net/skills/donbr-graphiti-fastmcp  
JSON: https://api.skillsregistry.net/v1/skills/donbr-graphiti-fastmcp

## Description

A temporally-aware knowledge graph MCP server for AI agents, enabling episodic ingestion, entity management, and semantic search with support for multiple LLM and embedding providers.

## Trust

- **Trust score (0–1):** 0.64
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/jrf6m4q6xb)
- **Repository:** <https://github.com/donbr/graphiti-fastmcp>

## 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": "donbr-graphiti-fastmcp"
    }
  }
}
```

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