Optimizely DXP MCP Server

🎉 What's New in v3.46

Major improvements since September 2024:

• ⚡ 3-10x Faster Operations: PowerShell fully removed, direct REST API with HMAC-SHA256 authentication

• 🔷 TypeScript Migration: Complete codebase conversion with strict mode compliance (479 errors fixed)

• 📊 Streaming Log Analysis: New analyze_logs_streaming tool - 2x faster than download+analyze

• 🔄 45 Tools: Expanded from 38 tools with unified naming and complete automation support

• 🤖 24 Tools with structuredContent: Perfect for automation platforms (n8n, Zapier, Make.com)

• 🔴 Redis Integration: Optional caching with circuit breaker and reconnection logic

• 📡 MCP Resources: Real-time deployment monitoring via event subscription

• 🔀 Dual Transport Modes: stdio for Claude Desktop, HTTP for automation platforms (n8n, Zapier, Docker)

• 🎯 Zero Dependencies: No PowerShell, no Python, no external tools - just npm install

Related MCP server: Dokploy MCP Server

🤔 The Problem

You invested in enterprise DXP, but you're only using 10% of its power.

You chose Optimizely to deliver exceptional digital experiences, but:

• Your team spends more time on DevOps tasks than building features

• Critical issues hide in logs until customers complain

• Deployments are scary, manual, multi-step processes

• Setting up dev environments takes hours or days

• You can't move fast enough to beat competitors embracing AI

Meanwhile, AI is revolutionizing how software gets built and managed. Companies using AI-powered automation are shipping 10x faster, finding issues before customers do, and freeing their teams to focus on innovation.

✨ The Solution

Your infinite DevOps workforce - AI that never sleeps, never breaks, always delivers.

This MCP server transforms your Optimizely DXP into an AI-powered platform that goes far beyond replacing Google searches. Just as Optimizely Opal provides an infinite workforce for marketing, this MCP creates your infinite workforce for DXP operations:

• AI Specialists that understand your infrastructure, deployments, and data

• Intelligent Agents that handle complex multi-step workflows autonomously

• 24/7 Operations that scale infinitely without adding headcount

• Your team elevated from operators to innovators

Finally get the ROI your DXP investment promised - ship faster, break less, sleep better.

🚀 The Transformation

From DXP operator to digital experience innovator:

• Ship 10x faster - What took hours now takes seconds

• Zero-downtime deployments - AI handles the complexity

• Proactive issue resolution - Fix problems before customers notice

• Instant dev environments - Full production replicas in minutes

• Competitive advantage - Move at AI speed while others click through portals

• Maximum DXP ROI - Finally use all those powerful features you're paying for

🔌 What is MCP?

Model Context Protocol (MCP) is the bridge between AI's intelligence and your DXP's capabilities.

While others use AI just to search documentation or write code snippets, MCP enables something revolutionary: AI that takes action. This isn't about better search results - it's about AI that can:

• Execute complex operations autonomously

• Orchestrate multi-step workflows across environments

• Monitor systems and self-heal issues

• Learn from your infrastructure to make smarter decisions

• Scale infinitely without human bottlenecks

Think of it as evolving from "AI as advisor" to "AI as workforce" - the difference between asking for directions and having a chauffeur.

🌟 Key Features & Capabilities

Zero Dependencies Architecture

Direct REST API - No External Tools Required

• HMAC-SHA256 authentication: Secure, standards-based API access

• No PowerShell: Completely removed in v3.44 - never needed again

• No Python: All JavaScript/TypeScript with Node.js runtime

• Cross-platform: Identical behavior on macOS, Linux, and Windows

• Dual transport modes: stdio for Claude Desktop, HTTP for automation platforms

• Single install: Just npm install - that's it!

Performance Improvements:

• Deployment operations: 3-10x faster vs PowerShell

• Database exports: 5x faster

• Log downloads: 3x faster

AI-Powered Operations (45 Tools)

Comprehensive DXP Management:

1. Deployment Management

• Autonomous deployment with health monitoring

• Rollback and reset capabilities

• Content sync between environments

• Real-time progress tracking with ETAs

• MCP Resources subscription for live events

2. Log Analysis & Intelligence

• Streaming analysis (2x faster than download+analyze)

• Compare logs tool for deployment decisions

• AI agent detection and pattern recognition

• Performance metrics and error analysis

• Structured output for automation workflows

3. Database Operations

• Interactive export workflow with smart monitoring

• Automated backup downloads

• Export status tracking

• Background downloads with progress updates

4. Storage Management

• Incremental blob downloads (only changed files)

• Manifest tracking for efficiency

• Pattern-based filtering (*.pdf, *.jpg, etc.)

• 5x faster with parallel downloads

5. Real-Time Monitoring

• MCP Resources subscription for deployment events

• Webhook notifications for external automation

• Health checks and connection testing

• Environment access verification

Enterprise-Ready Architecture

Built for Scale and Reliability:

• Redis Integration (Optional)

  • Circuit breaker pattern for automatic fallback

  • Reconnection logic with exponential backoff

  • Caching layer for repeated queries

  • 12 integration tests covering all scenarios

• Rate Limiting & Retry

  • Automatic retry with exponential backoff

  • HTTP 429 (rate limit) handling

  • Respects Retry-After headers

• Event System

  • MCP Resources for real-time updates

  • Webhook-ready for external integration

  • Event streaming without polling

• Type Safety

  • Full TypeScript with strict mode

  • 479 type errors fixed across codebase

  • Better IDE support and auto-completion

Automation Platform Support

Native Integration with Workflow Tools:

• HTTP Transport Mode: Dual-mode operation (stdio for Claude, HTTP for automation)

• 24 Tools with structuredContent: Native MCP field for structured data

• Direct Property Access: No JSON.parse() needed - response.structuredContent.data.deploymentId

• Platform Support: n8n, Zapier, Make.com, custom workflows

• Webhook-Ready: Event system for external automation

See N8N_INTEGRATION.md for automation platform setup.

🔀 Transport Modes

The MCP server supports two transport modes for different deployment scenarios:

stdio Mode (Default)

Best for: Claude Desktop, local AI clients, single-user development

Characteristics:

• Process-to-process communication via stdin/stdout

• No network ports required

• Automatically started by Claude Desktop

• Lowest latency and most secure (no network exposure)

• Ideal for local development and desktop AI applications

Setup:

{
  "mcpServers": {
    "optimizely-dxp": {
      "command": "npx",
      "args": ["-y", "@jaxon-digital/optimizely-dxp-mcp"],
      "env": {
        "OPTIMIZELY_PROJECT_ID": "your-id",
        "OPTIMIZELY_PROJECT_KEY": "your-key",
        "OPTIMIZELY_PROJECT_SECRET": "your-secret"
      }
    }
  }
}

No additional configuration needed - stdio is the default mode.

HTTP Mode

Best for: n8n, Zapier, Make.com, Docker, remote access, multi-tenant platforms

Characteristics:

• RESTful HTTP server with JSON-RPC 2.0

• MCP endpoint: POST /mcp

• Health check: GET /health

• Supports concurrent remote connections

• Production-ready with graceful shutdown

Setup:

# Start HTTP server
DXP_MCP_MODE=http DXP_MCP_PORT=3001 npm start

# Or with Docker
docker run -p 3001:3001 \
  -e DXP_MCP_MODE=http \
  -e OPTIMIZELY_PROJECT_ID=your-id \
  -e OPTIMIZELY_PROJECT_KEY=your-key \
  -e OPTIMIZELY_PROJECT_SECRET=your-secret \
  jaxon-digital/optimizely-dxp-mcp

Configuration:

Health Check:

curl http://localhost:3001/health
# Returns: {"status":"ok","service":"optimizely-dxp-mcp","version":"3.46.0"}

Decision Guide

All 45 tools work identically in both modes - only the transport layer changes.

📋 Complete Tool Reference (45 Tools)

Permission & Access Management (4 tools)

• test_connection - Validate setup and show capabilities

• check_permissions - Detailed environment access breakdown

• verify_access - Confirm specific environment access

• health_check - System status with structured health data

Deployments & Content Sync (10 tools)

• list_deployments - Show deployment history with filters

• start_deployment - Initiate code deployment

• monitor_deployment - Real-time progress with auto-refresh

• complete_deployment - Finish verification state

• reset_deployment - Rollback if needed

• get_deployment_status - Current status with wait-then-check support

• copy_content - Sync content between environments

• list_content_copies - Show content copy history

Database Management (4 tools)

• export_database - Interactive workflow with smart monitoring

• check_export_status - Progress tracking with auto-download flag

• download_database_export - Get export file with background progress

• list_recent_exports - Export history and monitoring

Log Analysis & Downloads (6 tools)

• analyze_logs_streaming - NEW: Stream and analyze in-memory (2x faster)

• compare_logs - NEW: Side-by-side comparison for deployment decisions

• download_logs - Download with manifest tracking (incremental)

• list_log_containers - Show available log containers

• discover_logs - Find logs by date range and type

• check_download_status - Progress tracking for active downloads

Storage Management (5 tools)

• list_storage_containers - Show blob containers with structured data

• download_blobs - Incremental downloads (only changed files, 5x faster with parallel)

• generate_storage_sas_link - Create temporary access URLs

• list_download_history - Show completed downloads with manifests

Multi-Project Management (3 tools)

• list_projects - Show all configured projects

• switch_project - Change active project context

• current_project - Display active project info

Configuration & Utilities (6 tools)

• get_ai_guidance - Context-aware best practices

• get_version - Version info with update checks

• get_download_paths - Show download configuration

• set_download_path - Configure paths by type

• list_active_downloads - Progress for all background downloads

• cancel_download - Stop background download

Advanced Features (7 tools)

• get_rate_limit_status - Show API quota and limits

• get_cache_status - Redis cache statistics (if enabled)

• monitor_project_upgrades - Track DXP CMS version updates

• enable_http_logs - Configure HTTP log streaming

• disable_http_logs - Disable HTTP log streaming

• get_tool_availability - Show which tools work in current context

• subscribe_deployment_events - NEW: MCP Resources for real-time updates

Total: 45 tools organized in 8 categories

🎯 Performance Benchmarks

REST API vs PowerShell (v3.44+)

Streaming vs Download+Analyze

Parallel Downloads

⚠️ IMPORTANT: No Manual Startup Required

DO NOT run npm start or node index.js - The MCP is NOT a traditional server!

❌ What NOT to Do

• DO NOT run npm start - The MCP is not a standalone server

• DO NOT run node dist/index.js directly - Claude handles execution automatically

• DO NOT keep a terminal window open - The MCP runs on-demand

• DO NOT look for a running process - It starts and stops as needed

✅ How MCP Actually Works

1. Claude automatically starts the MCP when you open a conversation

2. The MCP runs as a subprocess managed entirely by Claude

3. It starts and stops automatically based on your usage

4. No manual intervention required - just use Claude normally

🎯 Correct Installation & Usage

# ONE-TIME SETUP:
# Option 1: Configure to use npx (always latest)
# Add to Claude's config - no install needed!

# Option 2: Global install for faster startup
npm install -g @jaxon-digital/optimizely-dxp-mcp

# THEN: Just use Claude! The MCP starts automatically

That's it! Configure once in Claude's settings, then forget about it. The MCP runs invisibly in the background whenever Claude needs it.

🛠️ System Requirements

Minimal Requirements - Zero External Dependencies:

• Node.js 18+ (LTS recommended) - Download

• Optimizely DXP Project with API credentials

• That's it! No PowerShell, no Python, no external tools

Supported Platforms:

• ✅ macOS (Intel & Apple Silicon)

• ✅ Linux (Ubuntu, Debian, RHEL, etc.)

• ✅ Windows 10/11 (no PowerShell needed!)

Optional Enhancements:

• Redis (optional) - For caching and performance boost

• Docker (optional) - For containerized deployment with automation platforms

🚀 Quick Start

Installation

Option 1: npx (Recommended - Always Latest)

No installation needed! Configure Claude to use npx:

{
  "mcpServers": {
    "optimizely-dxp": {
      "command": "npx",
      "args": [
        "-y",
        "@jaxon-digital/optimizely-dxp-mcp"
      ],
      "env": {
        "OPTIMIZELY_PROJECT_ID": "your-project-id",
        "OPTIMIZELY_PROJECT_KEY": "your-key",
        "OPTIMIZELY_PROJECT_SECRET": "your-secret"
      }
    }
  }
}

Option 2: Global Install (Faster Startup)

npm install -g @jaxon-digital/optimizely-dxp-mcp

Then configure Claude:

{
  "mcpServers": {
    "optimizely-dxp": {
      "command": "jaxon-optimizely-dxp-mcp",
      "env": {
        "OPTIMIZELY_PROJECT_ID": "your-project-id",
        "OPTIMIZELY_PROJECT_KEY": "your-key",
        "OPTIMIZELY_PROJECT_SECRET": "your-secret"
      }
    }
  }
}

Configuration

Single Project Setup

Using Environment Variables:

export OPTIMIZELY_PROJECT_ID="12345678-1234-1234-1234-123456789012"
export OPTIMIZELY_PROJECT_KEY="your_api_key"
export OPTIMIZELY_PROJECT_SECRET="your_api_secret"

In Claude's config.json:

{
  "env": {
    "OPTIMIZELY_PROJECT_ID": "12345678-1234-1234-1234-123456789012",
    "OPTIMIZELY_PROJECT_KEY": "your_api_key",
    "OPTIMIZELY_PROJECT_SECRET": "your_api_secret"
  }
}

Multi-Project / Multi-Tenant Setup

For agencies managing multiple clients:

export CLIENT1="id=uuid1;key=key1;secret=secret1;logPath=/logs/client1;dbPath=/db/client1"
export CLIENT2="id=uuid2;key=key2;secret=secret2;logPath=/logs/client2;dbPath=/db/client2"

Then use:

"switch to CLIENT2"
"list projects"
"show current project"

See MULTI_PROJECT_CONFIG.md for complete guide.

Advanced Configuration

Redis Integration (Optional):

export REDIS_HOST="localhost"
export REDIS_PORT="6379"
export REDIS_PASSWORD="optional"
export REDIS_ENABLED="true"

HTTP Transport for Automation Platforms:

export DXP_MCP_MODE="http"
export DXP_MCP_PORT="3001"
export DXP_MCP_HOST="0.0.0.0"

Download Path Configuration (7-level priority):

1. Command parameter: downloadPath=/custom/path

2. Compact field: PROJECT="...;logPath=/path"

3. Project + type: OPTIMIZELY_PROJECT_DOWNLOAD_PATH_LOGS=/path

4. Project-specific: OPTIMIZELY_PROJECT_DOWNLOAD_PATH=/path

5. Type-specific: OPTIMIZELY_DOWNLOAD_PATH_LOGS=/path

6. Global: OPTIMIZELY_DOWNLOAD_PATH=/path

7. Smart OS defaults: ~/Downloads/optimizely-mcp/

🛠️ AI-Enabled Solutions

Empower AI to handle your entire DXP lifecycle - from development to production:

1️⃣ Permission & Access Management

# Know exactly what your AI can do
"test connection"                          # Validates setup & shows capabilities
"check permissions"                        # Detailed environment access breakdown
"verify access to production"              # Confirm specific environment access

2️⃣ Deployments & Content Sync

# Deploy code and sync content between environments
"start deployment to production"           # Code deployment from preproduction
"start deployment from int to prep"        # Explicit source and target
"copy content from prod to integration"    # Content sync (downward)
"reset deployment in production"           # Rollback if needed
"complete deployment"                      # Finish verification state

3️⃣ Real-Time Monitoring & Status

# Track everything happening in your DXP
"show deployment dashboard"                # Visual progress with ETAs
"check production status"                  # Environment health check
"monitor current deployments"              # Live updates with auto-refresh
"list recent deployments"                  # History and patterns

4️⃣ Development Environment Setup

# Get production-quality data for local development
"export production database"               # Interactive workflow with smart monitoring
"check database export status"             # Check progress of running exports
"download latest database backup"          # Get most recent backup file
"download production blobs"                # Smart incremental - only changed files
"download blobs with filter *.pdf"         # Selective downloads with patterns
"download blobs force full"                # Bypass incremental, get everything
# AI tracks what you've downloaded to save bandwidth

5️⃣ Log Analysis & Downloads

# ⚡ NEW: Stream and analyze logs in-memory (2x faster than download + analyze)
"analyze logs from last hour"             # Streaming analysis with structured output
"analyze application logs last 30 min"    # Console logs for errors and patterns
"analyze web logs from production"        # HTTP logs with performance metrics
"compare logs before and after deploy"    # Side-by-side comparison tool

# Traditional downloads with manifest tracking
"download logs from last 7 days"          # Incremental - skips unchanged logs
"download web logs"                       # HTTP/IIS logs with manifest tracking
"download application logs"               # App logs for external analysis
"download all logs"                       # All available log types
# Generates manifest files for external log analyzer tools

6️⃣ Multi-Project Management

# Perfect for agencies managing multiple clients
"switch to CLIENT2"                        # Instantly switch between projects
"list projects"                            # See all configured clients
"show current project"                     # Display active project details

7️⃣ Automation & Integration

# Real-time events and automation workflows
"subscribe to deployment events"           # MCP Resources for live updates
"generate SAS link for container"          # Temporary blob access URLs
"check rate limit status"                  # API quota and usage
"check cache status"                       # Redis statistics (if enabled)

🔄 Automation & Integration

HTTP Transport Mode

For n8n, Zapier, Make.com, and custom workflows:

# Start in HTTP mode
DXP_MCP_MODE=http DXP_MCP_PORT=3001 node dist/index.js

# Or with Docker
docker run -p 3001:3001 \
  -e DXP_MCP_MODE=http \
  -e OPTIMIZELY_PROJECT_ID=your-id \
  -e OPTIMIZELY_PROJECT_KEY=your-key \
  -e OPTIMIZELY_PROJECT_SECRET=your-secret \
  jaxon-digital/optimizely-dxp-mcp

Health Check:

curl http://localhost:3001/health

Structured Data Support

24 tools with native structuredContent field:

// Example: Start deployment
{
  "content": [
    {
      "type": "text",
      "text": "✅ Deployment started to Production..."
    }
  ],
  "structuredContent": {
    "success": true,
    "data": {
      "deploymentId": "c88fa98f-9d3c-4e91-8f77-5a7f3e2d1b0a",
      "status": "InProgress",
      "environment": "Production",
      "previewUrl": "https://..."
    }
  }
}

Direct property access in workflows:

// n8n, Zapier, Make.com
const deploymentId = response.structuredContent.data.deploymentId;
const status = response.structuredContent.data.status;
// No JSON.parse() needed!

Supported Tools:

• All deployment tools (list, start, monitor, complete, reset, status)

• Database operations (export, status, download, list)

• Log operations (download, status, streaming analysis)

• Storage operations (list containers, generate SAS, download blobs)

• Download management (status, active downloads, history)

• Project management (list, switch, current)

• System utilities (test connection, health check, version, rate limits)

Webhook Integration

For external automation:

# Subscribe to deployment events
"subscribe to deployment events"

# Events are pushed to external systems:
# - Deployment started
# - Deployment progress updates
# - Deployment completed/failed
# - Content sync completed
# - Database export ready

See N8N_INTEGRATION.md for complete automation setup guide.

📚 Documentation

• API Reference - Complete tool documentation with parameters and response formats

• Multi-Project Configuration - Agency/multi-tenant setup guide

• N8N Integration - Automation platform setup and workflows

• Client Application Logging - Configure Application Insights

• Telemetry - Privacy-focused usage analytics

• Windows Setup - Platform-specific notes (no PowerShell needed!)

• Changelog - Version history and release notes

📊 Structured Logging

DXP MCP uses structured JSON logging for production observability. All operations log machine-parseable JSON to stdout.

Log Format

Each log entry is a single-line JSON object:

{
  "timestamp": "2025-11-09T12:00:00.123Z",
  "level": "info",
  "message": "Deployment initiated",
  "correlation_id": "1699564800000-abc123xyz",
  "tool": "start_deployment",
  "environment": "production",
  "deployment_id": "12345"
}

Standard Fields:

• timestamp - ISO 8601 timestamp with milliseconds

• level - Log level (debug, info, warn, error)

• message - Human-readable message

• correlation_id - Links related operations together

• Additional metadata fields vary by operation

Log Levels

• debug - API requests, detailed progress, internal operations

• info - Significant events (deployment started, export complete)

• warn - Recoverable issues (retries, fallbacks)

• error - Failures requiring attention

Querying Logs

CloudWatch Logs Insights:

# Find all deployments in last hour
fields @timestamp, message, deployment_id, environment
| filter level = "info" and tool = "start_deployment"
| sort @timestamp desc

# Track specific deployment by correlation ID
fields @timestamp, message, duration_ms
| filter correlation_id = "1699564800000-abc123xyz"
| sort @timestamp asc

# Find slow operations (>5 seconds)
fields @timestamp, message, duration_ms, tool
| filter duration_ms > 5000
| sort duration_ms desc

Datadog:

# Find errors in production deployments
level:error tool:start_deployment environment:production

# Track deployment flow
correlation_id:"1699564800000-abc123xyz"

# Performance analysis
@duration_ms:>5000

Splunk:

# Find all deployment errors
index=dxp_mcp level=error tool=start_deployment

# Average deployment duration
index=dxp_mcp tool=start_deployment duration_ms=*
| stats avg(duration_ms) by environment

# Correlation ID trace
index=dxp_mcp correlation_id="1699564800000-abc123xyz"
| sort _time

Correlation IDs

All related operations share a correlation ID. Example flow:

1. start_deployment - correlation_id: 12345-abc

2. monitor_deployment - correlation_id: 12345-abc (same)

3. complete_deployment - correlation_id: 12345-abc (same)

Query by correlation ID to see full deployment lifecycle.

Developer Guide

When adding logging to a new tool:

const { StructuredLogger } = require('../structured-logger');

// Create logger with tool context
const logger = new StructuredLogger({
  context: { tool: 'your_tool_name' }
});

// Log significant events
logger.info('Operation started', {
  key1: value1,
  key2: value2
});

// Log API calls
logger.logAPIRequest('POST', '/api/endpoint', { body: requestBody });
logger.logAPIResponse('/api/endpoint', response.status, duration);

// Log errors
logger.error('Operation failed', {
  error: error.message,
  stack: error.stack
});

// Track duration
logger.startTimer('operation_name');
// ... do work ...
logger.endTimer('operation_name', { result_count: 10 });

Security

Headers are automatically sanitized to remove:

• Authorization tokens

• API keys

• Authentication credentials

Logs are safe to aggregate and store without exposing secrets.

🔍 Audit Trail

DXP MCP maintains an immutable audit trail of all tool invocations for compliance and observability.

What is Audited

Every tool invocation is logged with:

• Timestamp - When the operation occurred

• Tool name - Which tool was invoked

• Parameters - Input arguments (sanitized to remove secrets)

• Result - Operation outcome (success/error)

• Duration - How long the operation took

• Metadata - Additional context (environment, project, etc.)

Example audit entry:

{
  "timestamp": "2025-11-09T12:00:00.123Z",
  "operation": "start_deployment",
  "operation_type": "deployment",
  "status": "success",
  "user": { "id": "user-123" },
  "environment": { "project_id": "proj-456", "slot": "production" },
  "request": {
    "tool": "start_deployment",
    "parameters": { "sourceEnvironment": "integration", "targetEnvironment": "production" },
    "correlation_id": "12345-abc"
  },
  "response": {
    "result": "success",
    "duration_ms": 1250
  }
}

Storage Location

Audit logs are stored in ./audit-logs/ as JSON Lines files:

audit-logs/
├── audit-2025-11-09.jsonl
├── audit-2025-11-08.jsonl
└── audit-2025-11-07.jsonl

Each line is a complete JSON object for easy parsing.

Querying Audit Logs

Via MCP Tool:

// Get all deployments in last 24 hours
query_audit_log({
  tool_name: "start_deployment",
  start_time: "2025-11-08T12:00:00Z",
  end_time: "2025-11-09T12:00:00Z"
})

// Get failed operations
query_audit_log({
  status: "failure",
  limit: 50
})

Via Command Line:

# View all audit logs
cat audit-logs/audit-*.jsonl | jq

# Filter by tool
cat audit-logs/audit-*.jsonl | jq 'select(.operation=="start_deployment")'

# Find errors
cat audit-logs/audit-*.jsonl | jq 'select(.status=="failure")'

# Count operations by tool
cat audit-logs/audit-*.jsonl | jq -r '.operation' | sort | uniq -c

Retention Policy

Recommended retention periods:

• Active logs: Keep 90 days online for queries

• Archive: Move logs older than 90 days to cold storage (S3, tape)

• Compliance: Retain 7 years for regulated industries (finance, healthcare)

• Deletion: After retention period, securely delete per policy

Example archival script:

#!/bin/bash
# Archive audit logs older than 90 days

find ./audit-logs -name "audit-*.jsonl" -mtime +90 -exec mv {} ./archive/ \;

GDPR and Compliance

PII Handling:

• Audit logs may contain user identifiers (email, username)

• Support data subject access requests (query by user_id)

• Support right to erasure (delete user's audit entries if required)

Data Sanitization:

• Passwords, API keys, tokens automatically redacted

• Field names containing "password", "secret", "token" are redacted

• Authorization headers removed from API request logs

Compliance Features:

• Immutable append-only logs (cannot modify/delete individual entries)

• Timestamp integrity (ISO 8601 with milliseconds)

• Unique correlation IDs for request tracking

• Version tracking (MCP server version in each entry)

Configuration

Environment Variables:

# Disable audit logging (development only)
DXP_AUDIT_ENABLED=false

# Custom audit directory
DXP_AUDIT_DIR=/var/log/dxp-mcp

# Custom audit retention days (for automated cleanup)
DXP_AUDIT_RETENTION_DAYS=90

Security

• Audit logs stored locally (not sent to external services)

• File permissions: 600 (owner read/write only)

• Directory permissions: 700 (owner access only)

• Sensitive data automatically sanitized before logging

Monitoring

Key metrics to track:

• Total tool invocations per day

• Error rate by tool (errors / total invocations)

• Average duration by tool

• Failed authentication attempts

Example monitoring query:

# Daily summary report
cat audit-logs/audit-$(date +%Y-%m-%d).jsonl | jq -s '
  group_by(.operation) |
  map({
    tool: .[0].operation,
    total: length,
    errors: map(select(.status == "failure")) | length,
    avg_duration: (map(.response.duration_ms) | add / length)
  })
'

🔄 Migration from v3.3x

Major changes in v3.44-v3.46:

Breaking Changes

1. Tool Renames (v3.42):

   • Database tools: db_export* prefix (was export_database*)

   • Download tools: download_* prefix (was get_*)

2. PowerShell Removed (v3.44):

   • No action needed - automatic migration to REST API

   • 3-10x performance improvement

   • Identical functionality

3. Deprecated Tools Removed:

   • download_media, download_assets → use download_blobs

   • Old database tool names → use db_export* versions

Migration Steps

If upgrading from v3.3x:

1. Update to latest version:

   npm update -g @jaxon-digital/optimizely-dxp-mcp

2. No configuration changes needed - credentials and environment variables work the same

3. Test connection:

   "test connection"

4. Update any scripts that reference old tool names (see API Reference)

Benefits:

• 3-10x faster operations (REST API vs PowerShell)

• 2x faster log analysis (streaming)

• 45 tools (up from 38)

• 24 tools with automation support

• Zero dependencies - no PowerShell needed

🤝 Support & Community

Getting Help

• Documentation: Start with API Reference

• Issues: GitHub Issues

• Updates: Follow releases on npm

Troubleshooting

Common Issues:

1. "Cannot find module"

   • Run npm run build to generate dist/ folder

   • Verify dist/index.js exists

2. "Connection failed"

   • Check credentials are correct

   • Verify project has API access enabled

   • Run test connection to diagnose

3. "Rate limited (429)"

   • Automatic retry with exponential backoff handles this

   • Check get rate limit status for quota

4. HTTP mode issues

   • Verify port 3001 is available

   • Check DXP_MCP_MODE=http is set

   • Test with curl http://localhost:3001/health

See N8N_INTEGRATION.md troubleshooting section for automation platform issues.

🛠️ Development

Building from Source

This project uses TypeScript and requires building before running:

# Clone the repository
git clone https://github.com/JaxonDigital/optimizely-dxp-mcp-private.git
cd optimizely-dxp-mcp-private

# Install dependencies
npm install

# Build TypeScript → JavaScript (REQUIRED after any code changes)
npm run build

# Run tests
npm test

Important: The TypeScript source files in lib/ and src/ are compiled to JavaScript in dist/. After editing any .ts files, you MUST run npm run build before testing changes.

Build Output:

• dist/index.js - Main entry point (bundled with esbuild)

• dist/lib/**/*.js - Compiled library modules

• Build happens automatically on npm install (via prepare hook)

• Build happens automatically before npm publish (via prepublishOnly hook)

Testing Changes Locally

# Build after making changes
npm run build

# Run CI test suite (fast - 15 tests)
npm test

# Run full test suite (comprehensive)
npm run test:full

# Run specific test suites
npm run test:logger      # Structured logger tests
npm run test:security    # Security helper tests
npm run test:projects    # Multi-project resolution tests

Development Workflow

1. Make changes to TypeScript files in lib/ or src/

2. Run npm run build to compile

3. Run npm test to verify

4. Create PR when tests pass

Project Structure

lib/                    # TypeScript source files
├── tools/             # MCP tool implementations
├── *.ts               # Core modules (telemetry, config, etc.)
src/
├── index.ts           # Main MCP server entry point
dist/                  # Compiled JavaScript (gitignored)
├── index.js           # Bundled server (esbuild output)
├── lib/               # Compiled modules
tests/                 # Test files
├── ci-test.js         # Fast CI test suite
├── test-suite.js      # Comprehensive tests

Related Projects

• Log Analyzer MCP - AI-powered log analysis and anomaly detection

• Optimizely CMS Modernizer - CMS 11 → CMS 12 migration assistant

• Model Context Protocol - Official MCP specification

📜 License

MIT License - see LICENSE file for details.

🙏 Acknowledgments

Built with:

• Model Context Protocol SDK - MCP protocol implementation

• Optimizely DXP API - Deployment REST API

• Azure Storage SDK - Blob storage operations

• TypeScript - Type-safe development

• esbuild - Fast bundling

Made with ❤️ by Jaxon Digital

Transforming Optimizely DXP from platform to AI-powered workforce