Used to build the MCP server API for connecting to the Agile Luminary project management system, providing tools for retrieving product descriptions, current work assignments, and historical task data.
Runtime environment required to execute the MCP server that connects AI clients to the Agile Luminary project management system.
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 documentation directly within your AI conversations.
Architecture
Features
This MCP server provides three main tools that fetch data from the Agile Luminary API:
📚 getRelatedDocuments
Purpose: Retrieve related documents based on a search string
Parameters:
searchString
(required) - The text to search for in documentsUse Case: Find relevant documentation and specifications related to your current work
📋 getCurrentWork
Purpose: Fetches work currently assigned to the user
Parameters: None
Use Case: See what tasks and user stories are actively assigned to you
🔍 getPastWork
Purpose: Retrieves completed work related to user stories based on search criteria
Parameters:
searchString
(required) - Search term to find relevant past workUse 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
Environment Variables
Set your API key as an environment variable:
Run the Server
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:
For Claude Desktop
Add this to your claude_desktop_config.json
:
Usage Examples
Once connected, you can use natural language in your AI client:
"Search for documents about authentication"
"Show me my current work assignments"
"Find past work related to user login functionality"
"What documentation exists about the payment system?"
"Based on my current work, what similar tasks were completed before?"
API Endpoints
The server connects to the following Agile Luminary API endpoints:
POST http://localhost:5006/bend/mcp/documents/search
- Search documentsGET http://localhost:5006/bend/mcp/userstories/current
- Get current workPOST http://localhost:5006/bend/mcp/userstories/search
- Search past work
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 and documentation
Seamless Integration: Works directly within your development environment
Secure: Server handles authentication and API communication locally
Search Capabilities: Find relevant documents and past work through intelligent search
Authentication
The server uses the LUMINARY_API_KEY
environment variable for authentication. This key is passed in the Authorization
header for all API requests. Make sure to set this environment variable before running the server.
Error Handling
The server includes comprehensive error handling for:
Network connectivity issues
API authentication failures
Malformed responses
Service unavailability
Missing API keys
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 key from https://agileluminary.com
before using this MCP server. Set the LUMINARY_API_KEY
environment variable with your API key.
This server cannot be installed
remote-capable server
The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.
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.
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