🎯 Ilograph MCP Server

The Ilograph MCP Server is a Model Context Protocol (MCP) server that provides AI agents with comprehensive access to Ilograph documentation, validation tools, and diagram creation guidance. Transform complex architecture documentation with intelligent assistance.

Use Cases

• Automated Diagram Creation: Generate Ilograph diagrams through natural language descriptions
• Real-time Validation: Validate existing diagrams with detailed error analysis and suggestions
• Documentation Access: Get instant access to comprehensive Ilograph documentation and best practices
• Learning & Examples: Explore curated diagram examples with detailed explanations

Important: This is an unofficial, community-driven project and is not affiliated with or endorsed by Ilograph LLC. The server provides educational and development assistance by accessing publicly available Ilograph documentation and resources.

Caution: The outputs and recommendations provided by the MCP server are generated dynamically and may vary based on the query and model. Users should thoroughly review all outputs to ensure they align with their project requirements and verify against official Ilograph documentation before implementation.

Features

• 📚 Live Documentation Access: Fetches up-to-date documentation from official Ilograph sources
• 🔍 Comprehensive Section Coverage: Access to all major Ilograph concepts (resources, perspectives, contexts, etc.)
• ✅ Advanced Diagram Validation: YAML and Ilograph schema validation with detailed error messages and suggestions
• ⚡ Intelligent Caching: TTL-based caching with fallback strategies for optimal performance
• 🛠️ Tool-First Design: Compatible with all current MCP clients (Cursor, Claude Desktop, VS Code, etc.)
• 📋 Curated Example Library: Real-world Ilograph diagrams with learning context and explanations
• 🎨 Smart Icon Search: Semantic search through Ilograph's icon catalog with provider filtering
• 🔄 Health Monitoring: Built-in service health checks and status reporting
• 🏗️ Architecture Pattern Detection: Identifies common patterns and provides optimization suggestions

Need Help?

• Tool Usage: See the available tools in the table above
• Issues: GitHub Issues
• Questions: GitHub Discussions

Legal Disclaimer

This project is not affiliated with, endorsed by, or connected to Ilograph LLC. This is an independent, community-driven tool that accesses publicly available Ilograph documentation and resources for educational and development purposes.

• The Ilograph name and related trademarks are property of Ilograph LLC
• This tool accesses publicly available documentation under fair use principles
• Users should refer to official Ilograph documentation for authoritative information
• No commercial relationship exists between this project and Ilograph LLC

Links

• Ilograph Official Website
• Ilograph Documentation
• Model Context Protocol
• FastMCP Framework

Built with ❤️ for the Ilograph community

Prerequisites

1. Docker: Docker installed and running
2. MCP-compatible client: Claude Desktop, VS Code, Cursor, etc.

Quick Start

Add to Your MCP Client

Add this configuration to your MCP client:

VS Code:

Add the following JSON block to your User Settings (JSON) file in VS Code. You can do this by pressing Ctrl + Shift + P and typing Preferences: Open User Settings (JSON).

More about using MCP server tools in VS Code's agent mode documentation.

{
  "mcp": {
    "servers": {
      "ilograph": {
        "command": "docker",
        "args": [
          "run",
          "-i",
          "--rm",
          "ghcr.io/quincymillerdev/ilograph-mcp-server:latest"
        ]
      }
    }
  }
}

Optionally, you can add a similar example (i.e. without the mcp key) to a file called .vscode/mcp.json in your workspace. This will allow you to share the configuration with others.

{
  "servers": {
    "ilograph": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "ghcr.io/quincymillerdev/ilograph-mcp-server:latest"
      ]
    }
  }
}

Claude Desktop / Cursor / Jetbrains AI Assistant:

{
  "mcpServers": {
    "ilograph": {
      "command": "docker",
      "args": ["run", "-i", "--rm", "ghcr.io/quincymillerdev/ilograph-mcp-server:latest"]
    }
  }
}

That's it! 🎉

Tool Configuration

Available Tools

The following tools are available for comprehensive Ilograph workflow support:

License

This project is licensed under the MIT License - see the LICENSE file for details.