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Automated /llms.txt & Agent Documentation Context Compiler
Automated /llms.txt & Agent Documentation Context Compiler is a paid API for AI agents from mcp-compiler.agentdiet.dev, paid per call via MPP, $0.01/call, status unknown (last checked 2026-10-21).
Crawls any documentation or SaaS website and generates a standards-compliant /llms.txt manifest plus a JSON-LD schema bundle for AI agent consumption
Price / call$0.01
Success—
StatusUnknown
How this service works
Crawls any documentation or SaaS site and compiles a standards-compliant /llms.txt manifest and JSON-LD schema bundle. (Live x402 v2, IETF MPP & MCP endpoint at https://mcp-compiler.agentdiet.dev/v1/llms-txt-compiler)
Output
Returns a standards-compliant /llms.txt manifest and an accompanying JSON-LD schema bundle derived from crawling the target website. The manifest summarizes the site's documentation structure and content in a format optimized for LLM/agent consumption, enabling agents to ground themselves in up-to-date product or API knowledge without manual curation.
Example use cases
Agent-ready API docs for onboarding
“Crawl https://docs.openai.com and generate an /llms.txt manifest so I can feed it directly into my agent's context window as grounding documentation.”
SaaS product context for support bot
“I'm building a support bot for Notion — can you crawl https://www.notion.so/help and compile a JSON-LD schema bundle and /llms.txt manifest so the bot knows the product inside out?”
Internal tool documentation packaging
“Crawl our internal docs at https://docs.acme.internal and produce a standards-compliant /llms.txt file and JSON-LD bundle I can serve to any agent that needs to understand our tooling.”
Technical details
Endpoint
GEThttps://mcp-compiler.agentdiet.dev/v1/llms-txt-compiler?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to rapidly onboard an AI agent to a third-party product, API, or SaaS tool by grounding it in up-to-date documentation without manual curation. It is especially valuable when the target site does not already publish an /llms.txt file and you need a machine-readable, standards-compliant context bundle. Prefer it over manual copy-paste or raw web scraping when you need structured JSON-LD metadata alongside the manifest for agent tooling pipelines.
Side effects
- Invalid or unreachable URL — crawl fails with an error indicating the site could not be fetched
- Protected or login-gated documentation — crawler cannot access authenticated pages and returns partial or empty manifest
- Malformed URL input — missing protocol or typo causes immediate validation error
- Very large documentation sites may time out or return a truncated manifest
- Sites with aggressive bot-blocking (Cloudflare, CAPTCHA) may return empty or error responses
- Non-documentation landing pages may yield low-quality or sparse manifest output
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| urlrequired | string | Website URL to crawl and generate a ready-to-consume /llms.txt manifest for |
Output
Schema · Response
{
"type": "object"
}Reviews
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