by jaxondigital
Integrate with Optimizely Digital Experience Platform (DXP) for seamless deployments, database management, and secure op
Manages Optimizely DXP deployments, database operations, and environment monitoring through REST API integration. Provides 45 tools for automating DXP operations without PowerShell dependencies.
Optimizely DXP is a community-built MCP server published by jaxondigital that provides AI assistants with tools and capabilities via the Model Context Protocol. Integrate with Optimizely Digital Experience Platform (DXP) for seamless deployments, database management, and secure op It is categorized under developer tools.
You can install Optimizely DXP in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
MIT
Optimizely DXP is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
Add new capabilities to Claude beyond text generation
Example
Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Automate multi-step workflows combining AI and external tools
Example
Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Share your MCP server with the developer community
Optimizely DXP is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
Optimizely DXP is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
According to our notes, Optimizely DXP benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
Useful MCP listing: Optimizely DXP is the kind of server we cite when onboarding engineers to host + tool permissions.
We wired Optimizely DXP into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
Optimizely DXP has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
Strong directory entry: Optimizely DXP surfaces stars and publisher context so we could sanity-check maintenance before adopting.
I recommend Optimizely DXP for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
We wired Optimizely DXP into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
We wired Optimizely DXP into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
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Major improvements since September 2024:
analyze_logs_streaming tool - 2x faster than download+analyzeYou invested in enterprise DXP, but you're only using 10% of its power.
You chose Optimizely to deliver exceptional digital experiences, but:
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.
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:
Finally get the ROI your DXP investment promised - ship faster, break less, sleep better.
From DXP operator to digital experience innovator:
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:
Think of it as evolving from "AI as advisor" to "AI as workforce" - the difference between asking for directions and having a chauffeur.
Direct REST API - No External Tools Required
npm install - that's it!Performance Improvements:
Comprehensive DXP Management:
Built for Scale and Reliability:
Redis Integration (Optional)
Rate Limiting & Retry
Event System
Type Safety
Native Integration with Workflow Tools:
response.structuredContent.data.deploymentIdSee N8N_INTEGRATION.md for automation platform setup.
The MCP server supports two transport modes for different deployment scenarios:
Best for: Claude Desktop, local AI clients, single-user development
Characteristics:
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.
Best for: n8n, Zapier, Make.com, Docker, remote access, multi-tenant platforms
Characteristics:
POST /mcpGET /healthSetup:
# 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:
| Variable | Default | Description |
|---|---|---|
DXP_MCP_MODE | stdio | Set to http to enable HTTP mode |
DXP_MCP_PORT | 3001 | HTTP server port (1-65535) |
DXP_MCP_HOST | 0.0.0.0 | Bind address (localhost for local only, 0.0.0.0 for Docker/remote) |
Health Check:
curl http://localhost:3001/health
# Returns: {"status":"ok","service":"optimizely-dxp-mcp","version":"3.46.0"}
| Scenario | Mode | Why |
|---|---|---|
| Claude Desktop usage | stdio | Default, fastest, most secure |
| n8n workflow automation | http | REST API, remote access |
| Zapier/Make.com integration | http | Webhook support, structured data |
| Docker deployment | http | Network connectivity, multiple clients |
| Local development (single user) | stdio | Simplest setup, no ports needed |
| Multi-tenant SaaS platform | http | Concurrent connections, load balancing |
| Remote server deployment | http | Network accessibility required |
All 45 tools work identically in both modes - only the transport layer changes.
test_connection - Validate setup and show capabilitiescheck_permissions - Detailed environment access breaPrerequisites
Time Estimate
15-60 minutes depending on server complexity
Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
Compatibility
✓ Use when
Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.
✗ Avoid when
Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.