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AIWebSignals MCP Server

answering

AIWebSignals is answering right now. Last checked 2 min ago. It exposes 9 tools.

Public AI web-readiness scanner and machine-facing observability discovery service.

The linked repository no longer exists on GitHub — it was deleted or made private.

Uptime history 49 days of history · worst day 93%
49 days agonow
100.0%
Uptime 24h
92 of 92 checks
9
Tools
read from the server
936 ms
Response time
average over 24h
open, no key
Access
streamable-http

What changed 9

Every tool that appeared, vanished or quietly changed what it asks for. Recorded since 1 October 2026. No other catalogue keeps this.

12 Oct 3 tools appeared diagnose_agent_connection, evaluate_ai_web_readiness, request_machine_capability
11 Oct 3 tools appeared compare_public_machine_web_evidence, get_normalized_report, get_scan_history
11 Oct a tool description was rewritten scan_ai_web_readiness
1 Oct a tool changed version2 times that day
and 1 more, back to 1 October 2026

This one has been quiet for a while

Quiet is not dead — but it is worth knowing when it wakes up, or when someone else takes it over. We watch the repository and tell you either way.

Three servers free · no card

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 2 min ago.

run in your terminal
claude mcp add aiwebsignals --transport http https://aiwebsignals.com/mcp
Settings → Connectors → Add custom connector, then paste this address
https://aiwebsignals.com/mcp
~/.codex/config.toml
[mcp_servers.aiwebsignals]
url = "https://aiwebsignals.com/mcp"
.cursor/mcp.json
{
  "mcpServers": {
    "aiwebsignals": {
      "url": "https://aiwebsignals.com/mcp"
    }
  }
}
.vscode/mcp.json
{
  "servers": {
    "aiwebsignals": {
      "type": "http",
      "url": "https://aiwebsignals.com/mcp"
    }
  }
}

Available tools 9

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

machine
get_machine_capabilities
Return the current public capability contract served at /api/capabilities, including active protocol, evidence, and security boundaries.
get_machine_pricing
Return the same public plan catalog served at /api/machine-pricing. Provider configuration identifiers and payment credentials are excluded.
scan
get_scan_history
Retrieve public, exact-target scan history and observed changes for a domain; excludes private connected-site evidence.
scan_ai_web_readiness
FREE EVALUATION FIRST: run a bounded public website readiness scan and get an explicit next-tool recommendation for a normalized evidence report. Read-only; no account or charge. Private/local network targets are rejected; observations may be saved to public scan history.
compare
compare_public_machine_web_evidence
Compare observable public machine-web readiness and evidence coverage for two to six public domains.
diagnose
diagnose_agent_connection
FREE: read-only MCP/A2A compatibility guidance for version negotiation, legacy/modern header errors, invalid params and unavailable A2A task methods. Never send raw headers, IPs or secrets.
evaluate
evaluate_ai_web_readiness
FREE ONE-CALL EVALUATION: run the existing bounded public readiness scan, retrieve the matching persisted normalized evidence report, verify scan ID + hostname, then return observed findings and next actions in this one response. Unknown evidence is not a successful observation. Never charges or changes a website.
normalized
get_normalized_report
Read an existing or boundedly refreshed public AI web-readiness evidence report for a public domain. Unknown evidence remains unknown.
request
request_machine_capability
Declare a missing capability by bounded technical slug and category. This records aggregate research evidence only; it will not execute, charge, provision, queue or promise future delivery.

Endpoints

URLTransportStateLatencyChecked
https://aiwebsignals.com/mcp streamable-http answering 1067 ms 2 min ago

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AIWebSignals — questions

Answers built from our own checks of this server.

What can AIWebSignals do?
It exposes 9 tools, read directly from the server on our last check. Among them: compare_public_machine_web_evidence, diagnose_agent_connection, evaluate_ai_web_readiness, get_machine_capabilities, get_machine_pricing, get_normalized_report and 3 more. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →
What is AIWebSignals mostly used for?
Its tools cluster around scan and machine. That is what this server is built to work with — the grouping comes from the actual tool names, not from a category we assigned.
Is AIWebSignals working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 92 of 92 checks got a reply (100.0%), average response time 936 ms. The bar chart above shows every period we have measured.
Is AIWebSignals still maintained?
The linked repository no longer exists on GitHub — it was deleted or made private. We show this because it changes what you can expect: an unmaintained server may keep answering for months and then stop without warning.
How do I connect AIWebSignals?
Copy the ready config from this page. We generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each in the form that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.
Does AIWebSignals need an API key?
No. AIWebSignals completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 9 of them are readable on this page. This is what we observed, not what the docs claim.
How fast is AIWebSignals?
It answers our handshake in 936 ms on average, which is faster than 6% of all working MCP servers we measure. That is on the slow side — worth knowing if the tool sits inside an interactive loop. The comparison comes from our own checks across the whole registry, every 15 minutes.