DocuMind

Provides neural evaluation of project READMEs, header visuals, and language badges to improve documentation quality.

typescript

0

GitHub Stars

typescript

Language

7 months ago

First Indexed

3 months ago

Catalog Refreshed

Documentation & install

Readme and setup notes from the catalogue, plus a client-ready config you can copy for your MCP host.

Installation

Add the following to your MCP client configuration file.

Configuration

View docs

{
  "mcpServers": {
    "sunwood-ai-labs-documind-mcp-server": {
      "command": "node",
      "args": [
        "/path/to/documind-mcp-server/build/index.js"
      ]
    }
  }
}

DocuMind MCP Server is a specialized runtime that exposes model context capabilities to analyze and improve documentation quality. It provides neural analysis of READMEs, checks header visuals, and offers AI-driven improvement suggestions, enabling automated evaluation and optimization of project documentation workflows.

How to use

You run DocuMind MCP Server locally and connect your MCP client to perform automated documentation analysis. Start the server and then issue analysis requests from your client to evaluate README structures, header visuals, and language badge configurations. Use the server to obtain structured insights, quality scores, and concrete improvement suggestions that you can apply to your project documentation.

How to install

Prerequisites: you need Node.js 18+ and npm or yarn installed on your system.

# Install dependencies
npm install

# Build the MCP server
npm run build

# Start or watch for real-time neural development
npm run watch

Configuration and usage notes

Configure your client to connect to the DocuMind MCP Server as a local stdio MCP endpoint. The server can be launched as a local process and communicated with through a standard input/output channel.

// Example inline configuration for a Windows environment
// Integrate with the Claude Desktop mainframe by pointing to the built index
{
  "mcpServers": {
    "documind_mcp": {
      "command": "/path/to/documind-mcp-server/build/index.js"
    }
  }
}

Troubleshooting

If you encounter issues connecting to the MCP server or during analysis, verify the following common points.

# Start the development inspector to debug
npm run inspector

Common issues include header image detection, language badge recognition, build errors, and MCP transport configuration. Ensure the server has access to assets/, the SVGs are well-formed, and the config paths used by your client are correct.

Available tools

evaluate_readme

Initiates neural analysis of a project's README to produce structured evaluations, scores, and improvement suggestions.

inspector

Provides access to the MCP inspection/debugger to examine the neural network and evaluation pipeline.