# Quillmark

> Use this tool when you need to integrate language models with structured document formats, enabling seamless interaction between LLM clients and schematized document primitives. Quillmark MCP solves problems related to document rendering and language model consumption, providing a standardized interface for MCP tooling. It takes in document formats and outputs schematized primitives, ideal for use cases involving language model integration and document processing.

Canonical page: https://skillsregistry.net/skills/gh-nibsbin-quillmark  
JSON: https://api.skillsregistry.net/v1/skills/gh-nibsbin-quillmark

## Description

Quillmark MCP provides Model Context Protocol integration for the Quillmark document rendering system, surfacing schematized document primitives to language model consumers. Built in TypeScript, it enables LLM clients to interact with structured document formats through standard MCP tooling. Published as @quillmark/mcp on npm.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/gh-nibsbin-quillmark)
- **Repository:** <https://github.com/nibsbin/quillmark-mcp-package>

## 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": "gh-nibsbin-quillmark"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/gh-nibsbin-quillmark` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/gh-nibsbin-quillmark/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