# Optimizely DXP MCP Server

> Use this tool when you need to manage Optimizely DXP deployments efficiently through natural language conversations, solving problems such as streamlining code deployment and environment management. It accepts natural language inputs and outputs deployment status and environment updates, enabling seamless management of Integration, Preproduction, and Production environments. Ideal for use cases requiring automated content synchronization, database operations, and code deployment across multiple environments.

Canonical page: https://skillsregistry.net/skills/jaxondigital-optimizely-dxp-mcp  
JSON: https://api.skillsregistry.net/v1/skills/jaxondigital-optimizely-dxp-mcp

## Description

Enables AI assistants to manage Optimizely DXP deployments through natural language conversations. Supports code deployment, database operations, content synchronization, and environment management across Integration, Preproduction, and Production environments.

## Trust

- **Trust score (0–1):** 0.53
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/tmp85fw57h)
- **Repository:** <https://github.com/JaxonDigital/optimizely-dxp-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "jaxondigital-optimizely-dxp-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jaxondigital-optimizely-dxp-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jaxondigital-optimizely-dxp-mcp/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt