# mcp-zettel

> Use this tool when you need to provide large language models (LLMs) with persistent memory and access to a knowledge base of interconnected notes. It solves the problem of session-based memory loss in LLMs by enabling them to create, search, and reference atomic notes across sessions. The tool takes in markdown notes as input and outputs a searchable, linkable knowledge base that can be accessed by MCP clients like Claude.

Canonical page: https://skillsregistry.net/skills/dhruvpatel1706-mcp-zettel  
JSON: https://api.skillsregistry.net/v1/skills/dhruvpatel1706-mcp-zettel

## Description

An MCP server that provides Claude and other MCP clients with persistent memory through a Zettelkasten knowledge base of interconnected markdown notes. It enables LLMs to create, search, link, and reference atomic notes across sessions without requiring manual copy-pasting.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-05-06

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/swifr7qg3n)
- **Repository:** <https://github.com/dhruvpatel1706/mcp-zettel>

## 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": "dhruvpatel1706-mcp-zettel"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/dhruvpatel1706-mcp-zettel` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/dhruvpatel1706-mcp-zettel/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