# vault-mcp

> Use this tool when you need to create and manage a knowledge base with interconnected notes and wikilinks, or integrate AI agents with a Markdown-based knowledge store. It solves problems of knowledge fragmentation and disorganization by providing a centralized, queryable repository with bidirectional links. The vault-mcp tool accepts Markdown input and outputs a searchable, SQLite-based knowledge graph accessible via an MCP server interface.

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

## Description

Markdown + SQLite knowledge store with bidirectional wikilinks, exposed as an MCP server for AI agents to maintain an interconnected knowledge base.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/k23kb212bo)
- **Repository:** <https://github.com/Lincyaw/vault-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": "lincyaw-vault-mcp"
    }
  }
}
```

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

---
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