wxo-nit 1.0.0

watsonx Orchestrate Lambda Deployer - MCP server for automating AWS Lambda deployment with Terraform

watsonx Orchestrate Lambda Deployer - MCP Server

This project contains MCP server implementations for automating AWS Lambda API Gateway deployment.

Available Implementations

1. TypeScript/Node.js Implementation (Recommended - Currently Active)

Location: /Users/amandawinkles/Documents/IBM Bob/MCP/wxo-lambda-deployer/

Status: ✅ Fully functional and configured

Requirements:

• Node.js 18+ or 20+
• npm
• AWS CLI configured
• Terraform 1.0+

Features:

• 6 automation tools for Lambda deployment
• Complete test suite (22 passing tests)
• Full documentation
• Currently configured in Bob MCP settings

Tools Available:

1. init_lambda_project - Initialize Lambda projects
2. deploy_lambda - Deploy with Terraform
3. update_lambda_code - Update and redeploy code
4. get_deployment_status - Check deployment status
5. destroy_lambda - Clean up resources
6. test_lambda_endpoint - Test API endpoints

2. Python Implementation

Location: /Users/amandawinkles/bob/wxO-nit/server.py

Status: ⚠️ Requires Python 3.10+ (current system has Python 3.9.6)

Requirements:

• Python 3.10 or higher
• fastmcp package
• AWS CLI configured
• Terraform 1.0+

Note: The Python implementation is provided but cannot run on the current system due to Python version constraints. FastMCP requires Python 3.10+, but the system has Python 3.9.6.

Current Configuration

The TypeScript implementation is currently active and configured in: ~/.bob/settings/mcp_settings.json

{
  "mcpServers": {
    "wxo-lambda-deployer": {
      "command": "node",
      "args": [
        "/Users/amandawinkles/Documents/IBM Bob/MCP/wxo-lambda-deployer/build/index.js"
      ],
      "env": {
        "AWS_PROFILE": "default"
      }
    }
  }
}

Usage

After restarting Bob, you can use commands like:

"Initialize a new Lambda project called my-api with Node.js 20"
"Deploy the Lambda project"
"Test the Lambda endpoint"
"Get deployment status"
"Destroy the Lambda deployment"

Terraform Deployment Example

The MCP server was used to deploy the existing Terraform configuration in this directory:

# The terraform/ directory contains:
- terraform.tf    # Provider configuration
- main.tf         # Lambda, API Gateway, S3, IAM resources
- outputs.tf      # API endpoint and resource outputs
- variables.tf    # Configuration variables

# Deployment was completed with:
terraform init
terraform validate
terraform plan
terraform apply

Upgrading to Python Implementation

If you upgrade to Python 3.10+, you can use the Python implementation:

1. Install Python 3.10+:

   brew install python@3.10  # macOS
   

2. Install dependencies:

   pip3 install -r requirements.txt
   

3. Update MCP settings:

   {
     "mcpServers": {
       "wxo-lambda-deployer": {
         "command": "python3",
         "args": [
           "/Users/amandawinkles/bob/wxO-nit/server.py"
         ],
         "env": {
           "AWS_PROFILE": "default"
         }
       }
     }
   }
   

4. Make server executable:

   chmod +x server.py
   

Documentation

• TypeScript Implementation: /Users/amandawinkles/Documents/IBM Bob/MCP/wxo-lambda-deployer/README.md
• Contributing Guide: /Users/amandawinkles/Documents/IBM Bob/MCP/wxo-lambda-deployer/CONTRIBUTING.md
• Test Suite: /Users/amandawinkles/Documents/IBM Bob/MCP/wxo-lambda-deployer/src/__tests__/tools.test.ts

Architecture

User Request
     ↓
Bob/Claude (MCP Client)
     ↓
MCP Protocol
     ↓
wxo-lambda-deployer (TypeScript)
     ↓
Terraform CLI
     ↓
AWS API
     ↓
Lambda + API Gateway + S3 + IAM + CloudWatch

Support

For issues or questions about the MCP server:

• Check the main README in the TypeScript implementation directory
• Review test cases for usage examples
• Consult Terraform documentation for infrastructure details