MCP server
Setu.Anantasutra: Agent Tools API
io.github.BhavyDuneja/setu
Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools
Pay-per-call (x402) tools: Indian ID checks, AI-visibility audits, AI crawler and llms.txt checks
Working at last checkAbout 1,336 tokens per request once connected5 tools
https://setu.xyz23110928.workers.dev/mcp
At a glance
- Type
- MCP server
- Publisher
- Not verified
- Status
- Working at last check
- Tools
- 5
- Token cost
- About 1,336 tokens per request
- Sets up in
- Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok
- Last checked
- 26 Oct 2026, 08:29 UTC
Connect it to your agent
Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.
Claude Code
claude mcp add --transport http setu https://setu.xyz23110928.workers.dev/mcp
Claude Desktop
Settings → Connectors → Add custom connector, and paste the URL.
Codex (config.toml)
[mcp_servers.setu] url = "https://setu.xyz23110928.workers.dev/mcp"
Gemini CLI
{"mcpServers":{"setu":{"httpUrl":"https://setu.xyz23110928.workers.dev/mcp"}}}
Cursor
{"mcpServers":{"setu":{"url":"https://setu.xyz23110928.workers.dev/mcp"}}}
VS Code
{"servers":{"setu":{"type":"http","url":"https://setu.xyz23110928.workers.dev/mcp"}}}
Antigravity
agy mcp add setu https://setu.xyz23110928.workers.dev/mcp
ChatGPT
Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.
OpenAI API (Responses tools)
{"type":"mcp","server_label":"setu","server_url":"https://setu.xyz23110928.workers.dev/mcp","require_approval":"always"}
Grok (xAI API tools)
{"type":"mcp","server_label":"setu","server_url":"https://setu.xyz23110928.workers.dev/mcp"}
Tools
ai_crawler_matrix~228 tokens
Reads a domain's robots.txt (RFC 9309 matching) and reports, for each known AI crawler and AI agent (OpenAI, Anthropic, Google, Perplexity, Apple, Meta, Amazon, Common Crawl and others), whether it may fetch the site root and up to five extra paths, with the deciding rule and any Content-Signal prefgeo_audit~210 tokens
Audits how visible one web page is to AI search engines and AI assistants: which of the major AI crawlers robots.txt allows or blocks, llms.txt and llms-full.txt presence, sitemap, and on-page signals (title, meta, canonical, structured data, headings, content readable without JavaScript). Returns aindia_id_validate~329 tokens
Validates and decodes one Indian business or payment identifier offline: GSTIN, PAN, TAN, CIN, LLPIN, IFSC, PIN code, UPI ID and vehicle registration numbers. Detects the type automatically, normalises copy-paste noise, verifies check digits where the algorithm is public (GSTIN), and decodes embeddeindia_id_validate_batch~402 tokens
Batch version of the Indian identifier validator: up to 50 values per call (GSTIN, PAN, TAN, CIN, LLPIN, IFSC, PIN code, UPI ID and vehicle registration numbers), mixed types allowed, one flat price. Returns one decoded result per item plus counts by type and validity. Use it for cleaning vendor lisllms_txt_check~167 tokens
Checks whether a domain publishes /llms.txt and /llms-full.txt and validates llms.txt against the llmstxt.org structure: single H1 title, blockquote summary, H2 sections with markdown link lists, soft-404 detection and size. Respects robots.txt. Use it before or after publishing an llms.txt file. Pr
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