# vault-graph-mcp

> vault-graph-mcp — renerichartz-vault-graph-mcp. Use this tool when you need to uncover hidden relationships between notes in a markdown vault or analyze a large collection of markdown files as a knowledge graph. It enables AI agents to search, traverse, and identify implicit semantic connections between notes, solving problems of knowledge discovery and organization. The tool takes a markdown vault as input and outputs a traversable graph, allowing agents to explore and analyze the connections between notes in a more intuitive and efficient way.

Canonical page: https://skillsregistry.net/skills/renerichartz-vault-graph-mcp  
JSON: https://api.skillsregistry.net/v1/skills/renerichartz-vault-graph-mcp

## Description

Enables AI agents to explore and analyze a markdown vault as a traversable knowledge graph, with tools for searching, traversing, and finding implicit semantic connections between notes.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/lpsmbvtho9)
- **Repository:** <https://github.com/ReneRichartz/vault-graph-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": "renerichartz-vault-graph-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/renerichartz-vault-graph-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/renerichartz-vault-graph-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
