# ZMCP

> Use this tool when you need to integrate AI capabilities into your Obsidian vault, enabling AI assistants to access and manage your notes. ZMCP solves the problem of manual knowledge base updates by allowing AI to read, write, and manage your notes directly. It provides a seamless interface between your notes and AI assistants, streamlining your workflow and enhancing productivity.

Canonical page: https://skillsregistry.net/skills/lrangell-zmcp  
JSON: https://api.skillsregistry.net/v1/skills/lrangell-zmcp

## Description

ZMCP turns your Obsidian vault into an AI-accessible workspace. It creates a bridge between your notes and AI assistants like Claude, allowing them to read, write, and manage your knowledge base directly.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/nnndvyyuz1)
- **Repository:** <https://github.com/lrangell/zmcp>

## 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": "lrangell-zmcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/lrangell-zmcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/lrangell-zmcp/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