Autodocument MCP Server: Model Context Protocol Integration

Overview: What is Autodocument MCP Server?

The Autodocument MCP (Model Context Protocol) Server is an advanced tool that automatically generates comprehensive documentation for code repositories by analyzing directory structures and code files using the OpenRouter API. This server supports a bottom-up approach, ensuring coherent hierarchical documentation while respecting .gitignore patterns to skip ignored files.

🔧 Core Features & MCP Capabilities

Autodocument's key capabilities include:

1. Smart Directory Analysis: Recursively analyzes directories and files in a code repository.
2. Git Integration: Respects .gitignore patterns, ignoring specified files.
3. AI-Powered Documentation: Uses OpenRouter API to generate detailed documentation, with Claude 3.7 as the default model.
4. Test Plan Generation: Automatically creates test plans with appropriate test types, edge cases, and mock requirements.
5. Code Review: Performs comprehensive code reviews at a senior developer level, focusing on security, best practices, and improvements.
6. Bottom-Up Approach: Starts from leaf directories and works upward to ensure a coherent documentation hierarchy.
7. Intelligent File Handling:
   • Creates documentation.md, testplan.md, and review.md files for each directory level.
   • Skips single-file directories while including their content in parent outputs.
   • Supports updating existing files and creating fallback files for directories exceeding size or file count limits.
8. Progress Reporting: Provides detailed progress updates to prevent timeouts during long-running operations.
9. Highly Configurable: Allows customization of file extensions, size limits, models, prompts, and more.
10. Extensible Architecture: Modular design permits easy addition of new auto-* tools in the future.

Integration with MCP Clients

Autodocument seamlessly integrates with several MCP clients including Claude Desktop, Continue, Cursor, and Roo. By configuring it as an MCT server, these AI applications can leverage its capabilities through a standardized protocol.

⚙️ MCP Architecture & Protocol Implementation

The Autodocument MCP Server uses a modular architecture to ensure scalability and flexibility:

1. Core Components: Handles configuration management and server implementation.
2. Crawler Module: Manages hierarchical traversal of directories and file discovery, respecting .gitignore rules.
3. Analyzer Module: Performs code file analysis and filtering based on extensions and size limits.
4. OpenRouter Module: Integrates AI-driven content generation via the OpenRouter API with customizable models and prompts.
5. Documentation Module: Orchestrates the overall documentation process, generating comprehensive reports within directories.
6. Tools Module: Provides a platform for various auto-* functionalities (documentation, test plans, code reviews).
7. Prompts Configuration: Centralizes prompt management for easy customization to suit specific project needs.

🚀 Getting Started with Installation

Prerequisites

To use Autodocument, you need:

• Node.js (version 16 or newer)
• An OpenRouter API key

Installation Steps

Follow these commands to install and build the Autodocument server:

# Clone the repository
git clone https://github.com/PARS-DOE/autodocument.git
cd autodocument

# Install dependencies
npm install

# Build and run the server
npm run build && npm start

💡 Key Use Cases in AI Workflows

Use Case 1: Automated Documentation Generation for Code Repositories

In this use case, developers can set up Autodocument to automatically generate detailed documentation for their code repositories. This process helps maintain a clear record of the project's architecture and implementation details, facilitating collaboration among team members.

Implementation Steps:

1. Initialize a new MCT server configuration.
2. Configure the OpenRouter API with appropriate prompts and models.
3. Set up directory traversal for repository analysis.
4. Run the server to generate documentation dynamically as changes are made to the codebase.

Use Case 2: Integration Testing Strategy Development

Autodocument can be used in conjunction with AI clients like Claude Desktop to develop comprehensive integration testing strategies for complex applications. This ensures that all components interact correctly, reducing bugs and improving overall application quality.

Implementation Steps:

1. Define test types and edge cases within the generated testplan.md files.
2. Use AutoRouter API to automatically mock dependencies as required.
3. Integrate testing strategies into continuous integration pipelines for automated test execution.
4. Review and refine test plans based on feedback from subsequent runs.

🔌 Integration with MCP Clients

Compatibility Matrix

Below is a compatibility matrix detailing the support status of Autodocument's integration with various MCP clients:

MPC Client	Resources	Tools	Prompts	Status
Claude Desktop	✅	✅	✅	Full Support
Continue	✅	✅	✅	Full Support
Cursor	❌	✅	❌	Tools Only

📊 Performance & Compatibility Matrix

Autodocument has demonstrated robust performance across different environments and has been successfully integrated with several AI clients. The following table outlines the supported versions and compatibility levels.

Environment	CLI/MCP Client Version	Support level
macOS	0.12 - latest	Full
Windows	0.45 - latest	Partial
Linux	0.3 - latest stable	Full

🛠️ Advanced Configuration & Security

MCP Protocol Flow Diagram

Below is a diagram illustrating the communication flow between an AI application, the MCP client, and the Autodocument server via the Model Context Protocol.

graph TD
    A[AI Application] -->|MCP Client| B[MCP Protocol]
    B --> C[MCT Server]
    C --> D[Data Source/Tool]
    style A fill:#e1f5fe
    style C fill:#f3e5f5
    style D fill:#e8f5e8

MCP Configuration Sample

Here is a sample configuration snippet for setting up Autodocument as an MCT server:

{
  "mcpServers": {
    "AutodocumentServer": {
      "command": "npx",
      "args": ["-y", "@modelcontextprotocol/server-autodocument"],
      "env": {
        "API_KEY": "your-api-key"
      }
    }
  }
}

❓ Frequently Asked Questions (FAQ)

Q1: How can I ensure the Autodocument server respects my .gitignore settings?

A1: You can configure Antd documentation to respect your .gitignore rules by ensuring the crawler module is aware of these paths. This way, only relevant files are included in the analysis.

Q2: Can I customize the models and prompts used by Autodocument for specific projects?

A2: Yes, you can modify the model selection and prompt configurations in your MCT server setup file to tailor responses according to specific project requirements.

Q3: How does Autodocument handle large directories that exceed size or file count limits?

A3: For directories exceeding specified limits, fallback files such as undocumented.md, untested.md, and review-skipped.md are generated. These files provide an overview of skipped processing and offer guidance on manual steps to enhance documentation.

Q4: Can I integrate Autodocument with additional AI clients beyond those listed in the compatibility matrix?

A4: While support for existing clients is comprehensive, contributions from the community can extend this integration further, ensuring broader compatibility.

Q5: How do I troubleshoot validation errors or other issues when configuring AutoDocument as an MCT server?

A5: Check your environment variables (especially API_KEY) and configuration settings. Ensure that all paths are correctly specified and that any dependencies are installed properly.

👨‍💻 Development & Contribution Guidelines

Contributions to Autodocument are welcome! To get started, please:

1. Fork the repository on GitHub.
2. Clone your forked copy of the project.
3. Create a new branch: git checkout -b [branch-name].
4. Make changes and add tests as necessary.
5. Commit your changes: git commit -m 'Add something'
6. Push to the branch: git push origin [branch-name].
7. Open a Pull Request (PR).

🌐 MCP Ecosystem & Resources

For more resources on MCP servers, check out:

• Official documentation for Model Context Protocol
• Community forums and discussion groups dedicated to MCP integrations and server development.
• Webinars and tutorials that delve into advanced use cases and best practices.

By leveraging Autodocument as part of your MCP setup, developers can streamline their AI application workflows, ensuring robust code management, documentation, and testing processes.