Documentation Index
Fetch the complete documentation index at: /llms.txt
Use this file to discover all available pages before exploring further.
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Use MCP Resources to access catalog data and MCP Prompts to run optimization workflows.
| Resource URI | Description |
|---|---|
catalog://products | Paginated product summaries for the workspace |
catalog://products/{id} | Full product detail by ID |
catalog://categories | Category tree for the workspace |
catalog://brands | Brand list for the workspace |
// List available resources
const resources = await client.listResources();
// Read a specific resource
const resource = await client.readResource({
uri: "alana://catalog/cat_abc",
});
console.log(resource.contents[0].text);
# List available resources
resources = await session.list_resources()
# Read a specific resource
resource = await session.read_resource("alana://catalog/cat_abc")
print(resource.contents[0].text)
search_products calls. This reduces latency and tool calls for context-heavy workflows.
Agent: "I need to review all products in the Summer 2026 catalog"
→ Reads alana://catalog/cat_summer2026
→ Has full catalog context without pagination
| Prompt Name | Description |
|---|---|
optimize-catalog | Run optimization across an entire catalog |
analyze-product | Deep analysis of a single product |
generate-feed-report | Feed performance analysis |
brand-consistency-check | Check products against brand guidelines |
// List available prompts
const prompts = await client.listPrompts();
// Get a prompt with arguments
const prompt = await client.getPrompt({
name: "optimize-catalog",
arguments: { catalog_id: "cat_abc", target_platform: "google" },
});
// The prompt returns messages you can send to the LLM
console.log(prompt.messages);
# List available prompts
prompts = await session.list_prompts()
# Get a prompt
prompt = await session.get_prompt(
"optimize-catalog",
arguments={"catalog_id": "cat_abc", "target_platform": "google"},
)
print(prompt.messages)
| Argument | Required | Description |
|---|---|---|
product_id | Yes | Product to analyze |
platforms | No | Comma-separated list: google,meta,openai |
| Argument | Required | Description |
|---|---|---|
brand_id | Yes | Brand to check against |
catalog_id | No | Catalog to audit (defaults to all) |