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Upendrasengar

Adobe Target MCP

by Upendrasengar
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JavaScript
Remote

Adobe Target MCP

npm version npm downloads Node License

A Model Context Protocol server for Adobe Target. Lets AI assistants manage A/B and Experience Targeting activities through the Adobe Target Admin API, with automatic Adobe IMS OAuth token handling (fetch, cache, refresh).

Quickstart

Via Claude Code:

claude mcp add adobe-target \
  -e ADOBE_CLIENT_ID=your-client-id \
  -e ADOBE_API_KEY=your-client-id \
  -e ADOBE_CLIENT_SECRET=your-client-secret \
  -e ADOBE_TENANT=your-tenant \
  -- npx -y @upendra_sengar/adobe-target-mcp

Related MCP server: hackle-mcp

Requirements

  • Node.js >= 18

  • An Adobe Developer Console project with:

    • The Adobe Target API enabled

    • OAuth Server-to-Server credentials (client ID + client secret)

  • Your Adobe Target tenant name (the subdomain in mc.adobe.io/<tenant>/target/...)

Configuration

All configuration is passed as environment variables — no keys are ever stored in this package.

Variable

Required

Description

ADOBE_CLIENT_ID

✅

Client ID from your Adobe Developer Console project

ADOBE_API_KEY

✅

API key sent as X-Api-Key (same value as the client ID)

ADOBE_CLIENT_SECRET

✅

Client secret from your Adobe Developer Console project

ADOBE_TENANT

✅

Adobe Target tenant subdomain

PORT

—

Port for SSE / Streamable HTTP modes (default 3001)

MCP_TOOL_LOGGING

—

true to enable verbose per-tool logging

MCP_LOG_FILE

—

File path for logs in stdio mode

For local development you can copy .env.example to .env instead.

Installation

These clients all use the same mcpServers format:

{
  "mcpServers": {
    "adobe-target": {
      "command": "npx",
      "args": ["-y", "@upendra_sengar/adobe-target-mcp"],
      "env": {
        "ADOBE_CLIENT_ID": "your-client-id",
        "ADOBE_API_KEY": "your-client-id",
        "ADOBE_CLIENT_SECRET": "your-client-secret",
        "ADOBE_TENANT": "your-tenant"
      }
    }
  }
}

Add to your workspace .vscode/mcp.json:

{
  "servers": {
    "adobe-target": {
      "command": "npx",
      "args": ["-y", "@upendra_sengar/adobe-target-mcp"],
      "env": {
        "ADOBE_CLIENT_ID": "your-client-id",
        "ADOBE_API_KEY": "your-client-id",
        "ADOBE_CLIENT_SECRET": "your-client-secret",
        "ADOBE_TENANT": "your-tenant"
      }
    }
  }
}

Transports

Mode

Command

Use case

stdio (default)

npx -y @upendra_sengar/adobe-target-mcp

Local MCP clients (Claude Desktop, Cursor, …)

Streamable HTTP

npx -y @upendra_sengar/adobe-target-mcp --streamable-http

Remote / shared deployments (POST /mcp)

SSE

npx -y @upendra_sengar/adobe-target-mcp --sse

Legacy SSE clients (GET /sse, POST /messages)

HTTP modes listen on PORT (default 3001).

Tools

Tool

Description

list_activities

List activities with filters (state, name, type, priority) and pagination

get_ab_activity_by_id

Get full details of an A/B activity

create_ab_activity

Create a new A/B activity

update_activity

Update an existing activity

update_activity_name

Rename an activity

update_activity_selector

Update the DOM selector of an activity's experience location

Authentication flow

The server exchanges your client credentials for an Adobe IMS access token (ims-na1.adobelogin.com), caches it, and refreshes it automatically 5 minutes before expiry. Tokens are held in memory only — nothing is written to disk.

Docker

docker build -t adobe-target-mcp .
docker run -i --rm \
  -e ADOBE_CLIENT_ID=your-client-id \
  -e ADOBE_API_KEY=your-client-id \
  -e ADOBE_CLIENT_SECRET=your-client-secret \
  -e ADOBE_TENANT=your-tenant \
  adobe-target-mcp

License

MIT

Install Server
A
license - permissive license
A
quality
C
maintenance

How are these scores calculated?

Maintenance

–Maintainers
–Response time
–Release cycle
–Releases (12mo)
Commit activity

Resources

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Looking for Admin?

If you are the server author, to access and configure the admin panel.

Tools

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