# ExD Accelerator MCP Server

> Use this tool when you need to automate the Experience Decisioning lifecycle for Adobe Journey Optimizer, streamlining the process from data import to placement setup. It solves the problem of manual ExD setup by providing an end-to-end automation solution via 21 MCP tools, taking CSV files as input and generating optimized placements as output. Ideal for use cases requiring efficient and scalable ExD lifecycle management.

Canonical page: https://skillsregistry.net/skills/vikas-o7-exd-accelerator-mcp  
JSON: https://api.skillsregistry.net/v1/skills/vikas-o7-exd-accelerator-mcp

## Description

AI-native Experience Decisioning lifecycle automation for Adobe Journey Optimizer, enabling end-to-end ExD setup from CSV to placements via 21 MCP tools.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/e4ei8sg3zc)
- **Repository:** <https://github.com/Vikas-O7/exd-accelerator-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": "vikas-o7-exd-accelerator-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/vikas-o7-exd-accelerator-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/vikas-o7-exd-accelerator-mcp/pull`

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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