Vault Graph FAQs

Question 1

How does Vault Graph enhance AI agent capabilities with Obsidian?

Accepted Answer

It gives AI agents a semantic understanding of your Obsidian vault by exposing the knowledge graph structure, rather than raw files. This allows agents to discover hidden connections, provide intelligent recommendations, and answer complex queries based on relationships between notes, fostering deeper context awareness.

Question 2

What is Vault Graph?

Accepted Answer

Vault Graph is an MCP (Model Context Protocol) server designed to provide AI agents with structured, context-aware access to your Obsidian knowledge graphs. It enables enhanced navigation, ranking, and discovery of information within your vault.

Question 3

What key features does Vault Graph offer for personal knowledge management?

Accepted Answer

Vault Graph provides powerful features like graph navigation between notes, ranked recommendations based on graph structure, discovery of central 'knowledge hubs,' finding 2-hop related notes, and efficient search by title or tags, transforming how you interact with your Obsidian vault.

Question 4

Which AI systems and platforms are compatible with Vault Graph?

Accepted Answer

Vault Graph is built on the open MCP standard and supports major AI systems including Claude (Desktop & Code), Gemini CLI, and Codex CLI (OpenAI). It integrates seamlessly through configuration files or CLI commands.

Question 5

How does Vault Graph generate note recommendations?

Accepted Answer

It employs a sophisticated ranking algorithm that combines three factors: the number of shared neighbors (notes linked in common), the in-degree (how many notes link to it), and the degree of tag overlap between notes, providing highly relevant suggestions.

Vault Graph

Vault Graph

Key Features

Use Cases

Key Features

Use Cases