Get from zero to first query in under 5 minutes.
$ git clone https://github.com/afterpartyai/llms_txt_store.gitnpm MCP package coming soon. For now, access the data directly via the GitHub repository.
{
"mcpServers": {
"readyai": {
"command": "npx",
"args": ["@readyai/mcp-server"]
}
}
}The MCP server npm package is under development. For now, access the structured data directly via the GitHub repository.
Current access: Data is freely available on GitHub. Managed MCP access with API keys and usage tiers coming soon. See pricing roadmap.
readyai_search
Coming Soon
Search across all ReadyAI structured datasets. Returns ranked results with source attribution and confidence scores.
{
"query": "kubernetes service mesh architecture",
"type": "coding_intelligence", // optional filter
"limit": 5
}readyai_get_llms_txt
Coming Soon
Get the structured llms.txt summary for any domain in our catalog. Deterministic O(1) lookup.
{
"domain": "stripe.com"
}readyai_web_enrich
Coming Soon
Extract structured metadata from any URL. Returns entities, semantic tags, topics, and page-level summaries.
{
"url": "https://example.com/blog/post",
"extract": ["entities", "tags", "summary"]
}readyai_coding_search
Coming Soon
Search developer knowledge specifically. Returns architecture decisions, best practices, and reasoning from technical conversations.
{
"query": "when to use event sourcing vs CRUD",
"language": "python", // optional
"framework": "fastapi" // optional
}Add to claude_desktop_config.json
Add to MCP settings in Cursor preferences
SupportedAdd to .vscode/mcp.json
Use any MCP client SDK to connect programmatically
SupportedEach domain's llms.txt is accessible via a deterministic path on GitHub. Domains use a character-exploded directory structure for O(1) lookup.
# Example: fetch cnn.com llms.txt
$ curl https://raw.githubusercontent.com/afterpartyai/llms_txt_store/master/com/c/n/n/llms.txt
# Example: fetch mit.edu llms.txt
$ curl https://raw.githubusercontent.com/afterpartyai/llms_txt_store/master/edu/m/i/t/llms.txtTo look up any domain, construct the path by extracting the TLD and character-exploding the domain name:
# Pattern: /{tld}/{char-exploded-domain}/llms.txt
cnn.com → com/c/n/n/llms.txt
ebay.com → com/e/b/a/y/llms.txt
mit.edu → edu/m/i/t/llms.txt
bbc.co.uk → co.uk/b/b/c/llms.txtAgent payment rails are under development. ReadyAI will support payment via SN33 token and USDC, enabling autonomous agent transactions with no human approval needed.
Current access to LLMs.txt data is free via the GitHub repository. Paid API access with micropayments coming soon.
Coming soon: SN33 token and USDC payment support for MCP queries. Contact us for early access.