MCP Media Forge

MCP server that generates diagrams, charts, HTML pages, and slide decks from text DSLs -- designed for AI coding agents to embed into Markdown.

LLM agents call tools like render_mermaid, render_html_page, or render_slides with text input, and get back file paths to assets ready to embed in docs.

Output Gallery

Mermaid Flowchart

Mermaid Sequence Diagram

D2 Architecture Diagram

Graphviz Dependency Graph

Vega-Lite Bar Chart

Tools

Diagram & Chart Renderers (Docker)

HTML Generators (No Docker)

Utilities

Quick Start

1. Start the rendering container (for diagram tools)

cd docker
docker compose up -d

HTML page and slide tools work without Docker.

2. Install the MCP server

Option A -- npx (no install)

npx mcp-media-forge

Option B -- Clone and build

git clone https://github.com/PavelGuzenfeld/mcp-media-forge.git
cd mcp-media-forge
npm install
npm run build

3. Register with your MCP client

Any MCP-compatible client (Claude Code, Cursor, VS Code + Copilot, Cline, etc.) can use this server. The standard config:

{
  "mcpServers": {
    "media-forge": {
      "command": "node",
      "args": ["/path/to/mcp-media-forge/dist/index.js"],
      "env": {
        "PROJECT_ROOT": "/path/to/your/project"
      }
    }
  }
}

Where to add this depends on your client:

• Claude Code: ~/.claude/settings.json
• Cursor: MCP settings panel
• VS Code (Copilot): .vscode/mcp.json
• Cline: MCP server configuration

4. Use it

Ask your AI assistant to generate diagrams, pages, or presentations:

"Create a sequence diagram showing the OAuth2 flow and embed it in the README"

"Generate an HTML page summarizing the API architecture with KPI cards"

"Make a slide deck with our Q1 metrics and architecture overview"

The agent calls the appropriate tool, gets back a file path, and embeds it in your markdown.

How It Works

AI Agent (any MCP client)
    |
    | MCP Protocol (JSON-RPC over stdio)
    v
MCP Media Forge (Node.js on host)
    |
    |--- Diagrams: docker exec (sandboxed, no network)
    |       |
    |       v
    |   Rendering Container
    |     ├── mmdc       (Mermaid CLI + Chromium)
    |     ├── d2         (D2 diagrams)
    |     ├── dot/neato  (Graphviz)
    |     └── vl2svg     (Vega-Lite via vl-convert)
    |
    |--- HTML/Slides: template engine (no Docker)
    |       |
    |       v
    |   CSS Design System (4 themes, depth tiers, components)
    |
    v
docs/generated/
  mermaid-a1b2c3.svg
  d2-7f8e9a.svg
  html_page-d4e5f6.html
  slides-8b9c0d.html

Key design decisions:

• Text in, file path out -- returns relative paths, never base64 blobs
• Content-hash naming -- same input = same file = free caching + git-friendly
• SVG preferred -- vector format, small files, diffs cleanly in git
• Docker-contained -- diagram renderers run in a sandboxed container with network_mode: none
• Self-contained HTML -- pages and slides have zero external dependencies (inline CSS/JS)
• Input pre-validation -- catches common mistakes before Docker round-trips
• Structured errors -- error responses include error_type, error_message, and suggestion to enable LLM self-correction

Tool Reference

get_tool_guide

Get usage guide for any tool before rendering. Returns examples, anti-patterns to avoid, complexity limits, and tips.

{ "tool_name": "mermaid" }

Available guides: mermaid, d2, graphviz, vegalite, html_page, slides, or all for a summary.

render_mermaid

{
  "code": "flowchart TD\n    A[Start] --> B{Decision}\n    B -->|Yes| C[Done]",
  "format": "svg",
  "theme": "default"
}

Pre-validation catches: missing diagram type, semicolons, HTML in labels, >25 nodes.

render_d2

{
  "code": "client -> server -> database",
  "format": "svg",
  "layout": "dagre"
}

Pre-validation catches: Mermaid/D2 syntax confusion, unbalanced braces, >3 nesting depth.

render_graphviz

{
  "dot_source": "digraph G { A -> B -> C }",
  "engine": "dot",
  "format": "svg"
}

Pre-validation catches: missing graph wrapper, -> in undirected graphs, unbalanced braces.

render_chart

{
  "spec_json": "{\"$schema\":\"https://vega.github.io/schema/vega-lite/v5.json\",\"data\":{\"values\":[{\"x\":1,\"y\":10}]},\"mark\":\"bar\",\"encoding\":{\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}}}",
  "format": "svg"
}

Pre-validation catches: invalid JSON, missing $schema/data/mark, >500 inline data rows.

render_html_page

Generates a self-contained themed HTML page. No Docker required.

{
  "title": "System Overview",
  "body_html": "<section id=\"metrics\"><h2>Metrics</h2><div class=\"mf-grid mf-grid-3\">...</div></section>",
  "theme": "swiss",
  "description": "Q1 architecture overview",
  "nav_sections": ["Metrics", "Architecture", "Roadmap"]
}

Design system CSS classes:

Themes:

render_slides

Generates a self-contained HTML slide deck with keyboard/touch navigation. No Docker required.

{
  "title": "Q1 Review",
  "slides": "[{\"title\":\"Q1 Review\",\"content\":\"Engineering update\",\"type\":\"title\"},{\"title\":\"Metrics\",\"content\":\"<ul><li>99.9% uptime</li></ul>\",\"type\":\"content\"}]",
  "theme": "midnight",
  "author": "Engineering Team"
}