MCP server

Agent Ready

io.github.mlava/agent-ready-mcp

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

Scan any URL for AI agent readability — Vercel Spec, llmstxt.org, and agent-protocol manifests.

Working at last checkAbout 660 tokens per request once connected3 tools

https://agent-ready.dev/api/v1/mcp

At a glance

Type: MCP server
Publisher: Not verified
Status: Working at last check
Tools: 3
Token cost: About 660 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

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 agent-ready-mcp https://agent-ready.dev/api/v1/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.agent-ready-mcp]
url = "https://agent-ready.dev/api/v1/mcp"

Gemini CLI

{"mcpServers":{"agent-ready-mcp":{"httpUrl":"https://agent-ready.dev/api/v1/mcp"}}}

Cursor

{"mcpServers":{"agent-ready-mcp":{"url":"https://agent-ready.dev/api/v1/mcp"}}}

VS Code

{"servers":{"agent-ready-mcp":{"type":"http","url":"https://agent-ready.dev/api/v1/mcp"}}}

Antigravity

agy mcp add agent-ready-mcp https://agent-ready.dev/api/v1/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":"agent-ready-mcp","server_url":"https://agent-ready.dev/api/v1/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"agent-ready-mcp","server_url":"https://agent-ready.dev/api/v1/mcp"}

ask ~326 tokens
Natural-language search (NLWeb /ask) over Agent Ready's own content — scoring methodology, the check registry, the specs it validates, and the content library (explainers, comparisons, how-to guides, glossary). Returns Schema.org-typed result objects. Optional itemType narrows to a corpus type; mode
get_scan ~120 tokens
Fetches a completed or in-progress scan by its id. Only scans owned by the authenticated API key's user are returned.
scan_site ~214 tokens
Runs the agent-ready.dev scanner against a URL and returns structured results: Vercel score, llmstxt.org score, and per-check findings with remediation hints. Scans may take up to ~60s; for larger scans the tool returns a scan id and asks you to poll with get_scan.

SeekinWeb — AI visibility
Does AI recommend a business? Who it names instead, which sources it uses, plus AI readability.
Tools
Doormat Capital's paid x402 safety tools (token scan, HTTP security headers) for AI agents.
Crypto, web, finance and app data tools
179 tools: crypto, EVM, SEC, FDA, NHTSA VIN, NWS weather, Eurostat, FRED, cloud & LLM prices, DNS.
Tranx Alice
Audit any site's AI visibility from your assistant: crawler access, rendering, and schema.
Sitepulsar
SitePulsar AEO audits: fetch FIND/READ/USE agent-readiness scores for any website.
LLM Red-Team Scanner
LLM agent security review: live injection/jailbreak probes plus a static audit of missing guardrails
FinzData market data
US stocks incl. delisted, futures, CPI/macro vintages, point-in-time GEX, 13F, COT, backtests.
Llmstxt
Access documentation in your IDE with llms.txt

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