# Markymark

> Use this tool when you need to analyze and process Markdown documents with advanced features like symbol extraction and link diagnostics. Markymark solves problems related to markdown structure analysis, workspace organization, and document inspection, providing inputs like markdown files and outputs like extracted symbols and diagnostics. It is particularly useful in AI agent workflows that require efficient and isolated markdown processing, supporting Obsidian and Logseq flavors.

Canonical page: https://skillsregistry.net/skills/sethyanow-markymark  
JSON: https://api.skillsregistry.net/v1/skills/sethyanow-markymark

## Description

Markymark is a Markdown language server and MCP server written in Rust, designed for AI agent workflows. It provides multi-tenant workspace isolation, document symbol extraction, broken link diagnostics, hover information with backlink counts, and workspace-wide symbol searching. Supports Obsidian and Logseq markdown flavors with a dual-transport architecture over stdio, enabling efficient markdown structure analysis with minimal token usage.

## Trust

- **Trust score (0–1):** 0.78
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/sethyanow-markymark)
- **Repository:** <https://github.com/sethyanow/markymark>

## 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": "sethyanow-markymark"
    }
  }
}
```

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