MCP server

Agent Ready

it.sneeze.agentready/agent-ready

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

Score any website out of 100 for how well AI agents can find, understand and use it.

Working at last checkVerified publisher: sneeze.itAbout 459 tokens per request once connected4 tools

https://agentready.sneeze.it/mcp

At a glance

Type: MCP server
Publisher: sneeze.it (verified by the MCP Registry)
Status: Working at last check
Tools: 4
Token cost: About 459 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 https://agentready.sneeze.it/mcp

Claude Desktop

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

Codex (config.toml)

[mcp_servers.agent-ready]
url = "https://agentready.sneeze.it/mcp"

Gemini CLI

{"mcpServers":{"agent-ready":{"httpUrl":"https://agentready.sneeze.it/mcp"}}}

Cursor

{"mcpServers":{"agent-ready":{"url":"https://agentready.sneeze.it/mcp"}}}

VS Code

{"servers":{"agent-ready":{"type":"http","url":"https://agentready.sneeze.it/mcp"}}}

Antigravity

agy mcp add agent-ready https://agentready.sneeze.it/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","server_url":"https://agentready.sneeze.it/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"agent-ready","server_url":"https://agentready.sneeze.it/mcp"}

explain_check ~106 tokens
Explain what one check measures, what it is worth and where to read how to fix it. Pass the check name as it appears in a report, for example "WebMCP tools an agent can call".
get_report ~88 tokens
Fetch a report that was already run, by its report link or id, without scanning again.
get_scoring_method ~50 tokens
The scored areas, their weights and every check, so a score can be explained.
scan_website ~215 tokens
Score any public website out of 100 for how well AI agents can use it: reach it, understand it, act on it (book, quote, buy), complete the task, act for a signed-in customer, trust its facts, and find the right location. Returns the score, a score per area, the most important finding in each area, a

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CanAIReadMe
Can an AI agent understand and act on a business website? Evidence-based facts, gaps and fixes.
ShortlistLens
Structured website and review evidence for AI-assisted local-business shortlisting.
AI Catalog by Crescendo Lab
Check if a product feed is ready for AI shopping (ChatGPT, Gemini, AI Mode): score, gaps, fixes.
Kashif
Scores a website's online presence 0-100 and lists the top issues to fix. English/Arabic.
Rankli: AI search readiness
Checks if ChatGPT, Claude, Gemini and Perplexity can reach and read a website, with ranked fixes.
Ready4Bots
Search engine for AI agents: find businesses tested as bot-ready (levels R0–R4) and check websites.
Stormap
Brainstorm scored idea maps, check npm/PyPI packages and vendors, find the right paid API.

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