MCP server
AIWebSignals
io.github.Galanai/aiwebsignals
Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools
Public AI web-readiness scanner and machine-facing observability discovery service.
Working at last checkAbout 1,451 tokens per request once connected9 tools
https://aiwebsignals.com/mcp
At a glance
- Type
- MCP server
- Publisher
- Not verified
- Status
- Working at last check
- Tools
- 9
- Token cost
- About 1,451 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 aiwebsignals https://aiwebsignals.com/mcp
Claude Desktop
Settings → Connectors → Add custom connector, and paste the URL.
Codex (config.toml)
[mcp_servers.aiwebsignals] url = "https://aiwebsignals.com/mcp"
Gemini CLI
{"mcpServers":{"aiwebsignals":{"httpUrl":"https://aiwebsignals.com/mcp"}}}
Cursor
{"mcpServers":{"aiwebsignals":{"url":"https://aiwebsignals.com/mcp"}}}
VS Code
{"servers":{"aiwebsignals":{"type":"http","url":"https://aiwebsignals.com/mcp"}}}
Antigravity
agy mcp add aiwebsignals https://aiwebsignals.com/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":"aiwebsignals","server_url":"https://aiwebsignals.com/mcp","require_approval":"always"}
Grok (xAI API tools)
{"type":"mcp","server_label":"aiwebsignals","server_url":"https://aiwebsignals.com/mcp"}
Tools
compare_public_machine_web_evidence~115 tokens
Compare observable public machine-web readiness and evidence coverage for two to six public domains.diagnose_agent_connection~428 tokens
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_ai_web_readiness~158 tokens
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 chaget_machine_capabilities~68 tokens
Return the current public capability contract served at /api/capabilities, including active protocol, evidence, and security boundaries.get_machine_pricing~68 tokens
Return the same public plan catalog served at /api/machine-pricing. Provider configuration identifiers and payment credentials are excluded.get_normalized_report~106 tokens
Read an existing or boundedly refreshed public AI web-readiness evidence report for a public domain. Unknown evidence remains unknown.get_scan_history~115 tokens
Retrieve public, exact-target scan history and observed changes for a domain; excludes private connected-site evidence.request_machine_capability~231 tokens
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.scan_ai_web_readiness~162 tokens
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.
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