
Sneeze It MCP server
Which servers in the official MCP registry are Sneeze It's own, whether they answer, and what they offer. A program checked each of these, nobody copied them from a product page.
read 2026-10-24
- Registry nameit.sneeze.agentready/agent-readyverified in the MCP registry
The registry name sits under sneeze.it. The registry only lets a publisher use that namespace after proving control of the domain through DNS or HTTP.
- Stateanswerschecked 2026-10-24
- Tools4
- Server calls itselfagent-ready
- Server version1.0.0
- Protocol version2025-06-18
On 2026-10-24 the server answered initialize and tools/list without a sign-in. First answer in 210 ms.
- Whether its tools do the product's job has not been judged yet.
- Checked on 2 of the 7 days it takes to judge reliability.
Said by rules from the measurements above. The likely first call is a model's pick from the tool list; read its description before relying on it.
- INITE MCP scoreafter a weeka score needs 7 daily checks: 2 so far
- Answeredmeasuring2 of the 7 daily checks it takes to print a share
- Median first answer242 ms
- Space in an agent's context≈ 401 tokensthe definitions of all its tools (4), which an agent carries on every turn
- Tool definitionsA · 100 of 100
- Typed results0 of 4 toolsdeclared outputSchema: results come typed, read once
- Every tool passes all six checks.
Worth a look
None of the five warning signs in these definitions.
A program checks the server once a day: initialize and tools/list, no model. Tokens are the definitions' length at about four characters a token. The grade averages six checks of every tool's name, description, schema and annotations; it says how well the tools are described, not whether they work. The score weighs what was measured and nothing else: answering (30%), doing the product's job (25%), definitions (20%), context (10%) and use (15%). A part that was not measured is left out, and a hidden instruction caps the score at 40. The state of vendors' MCP servers: method and numbers →
scan_websiteScore 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…
get_reportFetch a report that was already run, by its report link or id, without scanning again.
explain_checkExplain 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_scoring_methodThe scored areas, their weights and every check, so a score can be explained.
How to connect
Add the server to your MCP client config. Claude Desktop, Cursor and most other clients read this shape:
{
"mcpServers": {
"agent-ready": {
"type": "http",
"url": "https://agentready.sneeze.it/mcp"
}
}
}Add it
Claude Code, in a terminal
claude mcp add --transport http sneeze https://agentready.sneeze.it/mcpclaude.ai, ChatGPT and other clients: add https://agentready.sneeze.it/mcp as a custom connector in the settings.
Each line is something a program found when it went looking: the registry entry, the server's own answer, a spec that parses. A missing line means we did not find it, not that it does not exist.
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