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Agile Luminary MCP Server

MIT License

Agile Luminary MCP Server

This is a Model Context Protocol (MCP) server that connects AI clients (like Cursor or Claude Desktop) to the Agile Luminary project management system hosted at https://agileluminary.com.

What is MCP?

The Model Context Protocol (MCP) is a standardized way for AI applications to connect to external data sources and services. This server acts as a bridge between your AI client and the Agile Luminary REST API, allowing you to retrieve project details, work assignments, and product information directly within your AI conversations.

Architecture

AI Client (Cursor/Claude) → Local MCP Server → Agile Luminary API (https://agileluminary.com)

Features

This MCP server provides three main tools that fetch data from the Agile Luminary API:

🎯 getProductDescription

  • Purpose: Retrieves the current product description for your project
  • Use Case: Get up-to-date product specifications and requirements

📋 getCurrentWork

  • Purpose: Fetches work currently assigned to the user
  • Use Case: See what tasks and user stories are actively assigned to you

getPastWork

  • Purpose: Retrieves completed work related to the current user story
  • Use Case: Review historical context and completed tasks for better decision-making

Installation & Setup

Prerequisites

  • Node.js (v16 or higher)
  • An AI client that supports MCP (Cursor IDE, Claude Desktop, etc.)

Install Dependencies

npm install express @modelcontextprotocol/sdk express-mcp-handler

Run the Server

node server.js

The server will start and listen for connections from your AI client via stdio transport.

Configuration

For Cursor IDE

Add this to your MCP configuration:

{ "mcpServers": { "agile-luminary": { "command": "node", "args": ["path/to/your/server.js"] } } }

For Claude Desktop

Add this to your claude_desktop_config.json:

{ "mcpServers": { "agile-luminary": { "command": "node", "args": ["path/to/your/server.js"] } } }

Usage Examples

Once connected, you can use natural language in your AI client:

  • "What's the current product description?"
  • "Show me my current work assignments"
  • "What work has been completed on this user story?"
  • "Based on my current work and past completed tasks, what should I focus on next?"

Benefits

  • Real-time Data: Always get the latest project information from your deployed system
  • Context-Aware AI: Your AI assistant has full context of your project status
  • Seamless Integration: Works directly within your development environment
  • Secure: Server handles authentication and API communication locally

API Integration

This server replaces local file reading with REST API calls to your deployed Agile Luminary system. Instead of reading from local files like:

  • /Users/erichartmann/Documents/product-description.txt
  • /Users/erichartmann/Documents/currentWork.txt
  • /Users/erichartmann/Documents/pastWork.txt

It now fetches live data from your cloud-deployed project management system, ensuring you always have the most current information.

Error Handling

The server includes comprehensive error handling for:

  • Network connectivity issues
  • API authentication failures
  • Malformed responses
  • Service unavailability

Contributing

This MCP server is designed to work specifically with the Agile Luminary project management system. For modifications or enhancements, ensure compatibility with the existing API endpoints.


Note: Make sure your Agile Luminary account is created and you have your api keys https://agileluminary.com before using this MCP server.

-
security - not tested
A
license - permissive license
-
quality - not tested

A Model Context Protocol server that connects AI clients to the Agile Luminary project management system, allowing users to retrieve project details, work assignments, and product information within AI conversations.

  1. What is MCP?
    1. Architecture
      1. Features
        1. 🎯 getProductDescription
        2. 📋 getCurrentWork
        3. ✅ getPastWork
      2. Installation & Setup
        1. Prerequisites
        2. Install Dependencies
        3. Run the Server
      3. Configuration
        1. For Cursor IDE
        2. For Claude Desktop
      4. Usage Examples
        1. Benefits
          1. API Integration
            1. Error Handling
              1. Contributing

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