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glama

ExD Accelerator MCP Server

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

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// key findings
No credential exfiltration, no sensitive file access, no obfuscation
Static analysis found nothing flowing your secrets to unexpected places.
Open source with a license and README
Anyone can audit the code, the license is declared, and the publisher documents what it does.
🔐
You'll be asked for 1 credential: CLIENT_SECRET
These are read from process.env at runtime. Make sure you trust where they’ll be sent.
// required environment variables
This server reads these from process.env. You'll be asked to provide them before it can run.
configCLIENT_IDcp .env.example .env # fill in , CLIENT_SECRET, sandbox, schema, catalog
🔐 secretCLIENT_SECRETcp .env.example .env # fill in CLIENT_ID, , sandbox, schema, catalog
configDECISIONING_SCHEMA_ALT_ID"": "_….schemas.…",
configDECISIONING_SCHEMA_URI"": "https://ns.adobe.com/…/schemas/…",
configITEM_CATALOG_ID"": "xcore:decision-catalog:…"
configORG_ID"": "…@AdobeOrg",
configPORT
configSANDBOX_NAME"": "…",
configTENANT_ID"": "…",
// full audit trail
The full breakdown of what we checked, the deductions that landed, the network hosts, the dependency advisories, and concrete fix guidance is available to verified publishers.
// improvement guidance — verified publishers only
We have 3 concrete improvements we can share with the publisher of this MCP. Each comes with specific guidance to raise the trust score.
// embed badge in your README
[![M8ven Score](https://m8ven.ai/badge/mcp/vikas-o7-exd-accelerator-mcp-1t2l0j)](https://m8ven.ai/mcp/vikas-o7-exd-accelerator-mcp-1t2l0j)
commit: 59e7a1b456619d0b26872f927937828aeba1be61
code hash: 2eb970249ba9f78a791297a3e74e099f5c84c00da696d7b932356f2c54992154
verified: 7/1/2026, 10:04:10 AM
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