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@lorikeetai/mcp-server

v1.0.0

Published

Lorikeet MCP

Readme

Lorikeet MCP Server

A Model Context Protocol (MCP) server that provides access to Lorikeet workflows and resources through a standardized interface. This server allows AI assistants and other MCP clients to interact with Lorikeet's workflow management system.

Prerequisites

  • Node.js 22+
  • pnpm package manager
  • Lorikeet API credentials

Setup

  1. Install dependencies:

    pnpm install
  2. Configure environment variables: Create a .env file with your Lorikeet credentials:

    LORIKEET_CLIENT_ID=your_client_id
    LORIKEET_CLIENT_SECRET=your_client_secret
  3. Build the project:

    pnpm build

Usage

Development

Start the development server with hot reloading:

pnpm watch

Production

Start the production server:

pnpm start

Using the MCP Inspector

For debugging and testing MCP connections:

pnpm dev

This will start the server and launch the MCP Inspector, allowing you to interact with the server through a web interface.

API Endpoints

MCP Endpoint

  • POST /mcp - Main MCP communication endpoint
  • GET /mcp - Returns 405 Method Not Allowed (per MCP spec)

Health Check

  • GET /health - Returns server status and active session count

MCP Resources

Workflow Resource

  • URI Pattern: lorikeet://workflow/{id}
  • Description: Retrieves a specific workflow by ID
  • Content Type: JSON

Workflow List Tool

  • Tool Name: getWorkflows
  • Description: Returns all workflows belonging to the user
  • Returns: Array of workflow resources

Example Usage

Connecting with an MCP Client

// Example MCP client connection
const client = new McpClient({
  server: {
    command: 'node',
    args: ['dist/index.js'],
    env: {
      LORIKEET_CLIENT_ID: 'your_client_id',
      LORIKEET_CLIENT_SECRET: 'your_client_secret',
    },
  },
})

// Initialize connection
await client.initialize()

// List workflows
const workflows = await client.listResources('lorikeet://workflow/*')

// Get specific workflow
const workflow = await client.readResource(
  'lorikeet://workflow/dd96a0cc-01db-4f67-b0ac-8213bcc66ff8',
)

HTTP API Usage

# Health check
curl http://localhost:3000/health

# MCP initialization
curl -X POST http://localhost:3000/mcp \
  -H "Content-Type: application/json" \
  -d '{
    "jsonrpc": "2.0",
    "id": 1,
    "method": "initialize",
    "params": {
      "protocolVersion": "2024-11-05",
      "capabilities": {},
      "clientInfo": {
        "name": "test-client",
        "version": "1.0.0"
      }
    }
  }'