
Claude Desktop
Desktop · Freemium · Proprietary
Anthropic's official Claude AI desktop application. Supports MCP servers to extend functionality.
Developer Tools · Cloud Platform
jaxondigital/optimizely-dxp-mcp
You invested in enterprise DXP, but you're only using 10% of its power.
npx -y @jaxon-digital/optimizely-dxp-mcp{
"mcpServers": {
"optimizely-dxp": {
"command": "npx",
"args": [
"-y",
"@jaxon-digital/optimizely-dxp-mcp"
],
"env": {
"OPTIMIZELY_PROJECT_ID": "<OPTIMIZELY_PROJECT_ID>",
"OPTIMIZELY_PROJECT_KEY": "<OPTIMIZELY_PROJECT_KEY>",
"OPTIMIZELY_PROJECT_SECRET": "<OPTIMIZELY_PROJECT_SECRET>"
}
}
}
}OPTIMIZELY_PROJECT_IDOPTIMIZELY_PROJECT_KEYOPTIMIZELY_PROJECT_SECRETCLIENT1CLIENT2REDIS_HOSTREDIS_PORTREDIS_PASSWORDREDIS_ENABLEDDXP_MCP_MODEDXP_MCP_PORTDXP_MCP_HOSTHMAC-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!
Deployment operations: 3-10x faster vs PowerShell
Database exports: 5x faster
Log downloads: 3x faster
Autonomous deployment with health monitoring
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
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
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
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
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
list_projects
Show all configured projects
switch_project
Change active project context
current_project
Display active project info
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
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
Details on this page are taken from the project's README. Open README
Clients mentioned in this server's README:

microsoft/playwright
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yamadashy/repomix
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bytedance/UI-TARS-desktop
TARS is ByteDance's multimodal AI agent stack, shipping two projects: Agent TARS (a CLI and Web UI agent built on MCP) and UI-TARS-desktop (a desktop GUI agent).

ahujasid/blender-mcp
formerly blender-mcp — the PyPI package is now mcp-for-blender. Existing setups keep working; no config change is required. Read more.

microsoft/playwright-mcp
A Model Context Protocol (MCP) server that provides browser automation capabilities using Playwright. This server enables LLMs to interact with web pages through structured accessibility snapshots, bypassing the need for screenshots or visually-tuned models.

comet-ml/opik
Opik is the open-source LLM observability and evaluation platform for AI agent tracing, LLM evaluation, prompt management, and production monitoring. Built by Comet. Apache-2.0 licensed, free to self-host the full platform, with 20,000+ GitHub stars.