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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process.env. You'll be asked to provide them before it can run.CLIENT_ID— cp .env.example .env # fill in , CLIENT_SECRET, sandbox, schema, catalogCLIENT_SECRET— cp .env.example .env # fill in CLIENT_ID, , sandbox, schema, catalogDECISIONING_SCHEMA_ALT_ID— "": "_….schemas.…",DECISIONING_SCHEMA_URI— "": "https://ns.adobe.com/…/schemas/…",ITEM_CATALOG_ID— "": "xcore:decision-catalog:…"ORG_ID— "": "…@AdobeOrg",PORTSANDBOX_NAME— "": "…",TENANT_ID— "": "…",[](https://m8ven.ai/mcp/vikas-o7-exd-accelerator-mcp-1t2l0j)