mcp-registry/io.github.minglesai/ai-site-scorer · v1.0.0
As of 2026-10-23 12:18 UTC, the Minglesai Ai Site Scorer MCP server is up with a Glimind reliability score of 65/100 (grade C). Over the last 30 days it answered 98.2% of Glimind's liveness checks. It had 277 outages in 90 days, with a median recovery of 3 minutes.
Check website AI-readiness: Schema.org, llms.txt, E-E-A-T, robots.txt. Works in Cursor & Claude.
Claude Code
claude mcp add --transport http minglesai-ai-site-scorer-mcp-server https://ai-readiness.mingles.ai/api/mcp/
Claude Desktop · Windsurf · Cline (mcpServers JSON)
{
"mcpServers": {
"minglesai-ai-site-scorer-mcp-server": {
"type": "http",
"url": "https://ai-readiness.mingles.ai/api/mcp/"
}
}
}
Third-party server, listed as discovered. Review its source before installing.
5 of 5 tool(s) carry no readOnlyHint/destructiveHint annotations.
Annotate read-only tools with {"readOnlyHint": true}. Agents and gateways can then run them without a confirmation prompt, and route around destructive ones. How to fix →
Negotiates MCP 2024-11-05. Structured output, tool output schemas and elicitation arrived in 2025-06-18.
Upgrade the MCP SDK and negotiate 2025-06-18 or newer. How to fix →
Reachable 98.2% of the time over the last 30 days; median recovery 3 min.
Agents fail over to an alternative the first time a call fails. Add health checks and restart-on-failure, and avoid cold starts on serverless hosts.
No tool declares an outputSchema.
Declare outputSchema and return structuredContent (MCP 2025-06-18+). Agents can then parse results without guessing, and chain tools reliably. How to fix →
Paste-ready definitions with the problems above fixed. Changes marked verify need a human look. All of them as JSON: /v1/readiness/mcp-registry%2Fio.github.minglesai%2Fai-site-scorer/fixes
{
"name": "analyze_url",
"description": "Submit a URL for AI-readiness analysis. Checks how well the site is structured for AI/LLM crawling (robots.txt, structured data, page speed, content quality, etc.). Returns scores and recommendations. Set wait_for_result=true to wait for completion (up to 60s). Pricing: Free for registered users (100/mo). Anonymous (x402): $0.001 USDC for analysis only; $0.006 USDC combined when enhance=true ($0.001 analyze + $0.005 enhance, charged as a single upfront payment so only one X-PAYMENT header is nee",
"inputSchema": {
"type": "object",
"required": [
"url"
],
"properties": {
"url": {
"type": "string",
"description": "The URL to analyze (must include http:// or https://)."
},
"enhance": {
"type": "boolean",
"default": false,
"description": "If true, automatically run LLM deep analysis after basic analysis completes. Anonymous users: combined $0.006 USDC ($0.001 analyze + $0.005 enhance) charged as a single upfront payment. Default: false."
},
"wait_for_result": {
"type": "boolean",
"default": true,
"description": "If true (default), wait for the analysis to complete and return the full report. If false, return the job_id immediately."
}
}
},
"annotations": {
"readOnlyHint": true
}
}{
"name": "get_report",
"description": "Fetch a previously completed analysis report by job ID. Returns scores, check details, and recommendations.",
"inputSchema": {
"type": "object",
"required": [
"job_id"
],
"properties": {
"job_id": {
"type": "string",
"description": "The UUID job_id returned by analyze_url."
}
}
},
"annotations": {
"readOnlyHint": true
}
}{
"name": "list_recent_analyses",
"description": "List the 10 most recent analyses for the authenticated account. Returns URLs, scores, and statuses.",
"inputSchema": {
"type": "object",
"required": [],
"properties": {
"limit": {
"type": "integer",
"default": 10,
"description": "Number of results to return (1-50, default 10)."
}
}
},
"annotations": {
"readOnlyHint": true
}
}Get an email or webhook when this server's readiness drops by 10+ points, tool-poisoning text appears, or a tool breaks:
curl -X POST https://glimind.com/v1/subscriptions -H 'content-type: application/json' -d '{"tools":["mcp-registry/io.github.minglesai/ai-site-scorer"],"email":"[email protected]"}'Agents: watch_tool({"toolId": "mcp-registry/io.github.minglesai/ai-site-scorer"}) over MCP.
analyze_url ~321 tokensgenerate_fix_prompt ~117 tokensenhance_report ~113 tokenslist_recent_analyses ~87 tokensget_report ~83 tokensStatic checks of the advertised tools/list (schema, descriptions, annotations, tool-poisoning patterns, names, size) plus observed protocol, uptime, latency and contract changes. Read-only: no tool is ever called. Weights: schema 15, docs 20, safety 15, efficiency 15, compatibility 15, protocol 5, reliability 10, stability 5. Token counts are estimates (~3.6 characters per token).
Operator? Fix these, then re-check live. Embed the readiness badge:
[](https://glimind.com/server/mcp-registry%2Fio.github.minglesai%2Fai-site-scorer?ref=badge)
<a href="https://glimind.com/server/mcp-registry%2Fio.github.minglesai%2Fai-site-scorer?ref=badge"><img src="https://glimind.com/v1/readiness/badge/mcp-registry%2Fio.github.minglesai%2Fai-site-scorer.svg" alt="MCP agent-readiness"></a>
.. image:: https://glimind.com/v1/readiness/badge/mcp-registry%2Fio.github.minglesai%2Fai-site-scorer.svg :target: https://glimind.com/server/mcp-registry%2Fio.github.minglesai%2Fai-site-scorer?ref=badge :alt: MCP agent-readiness
Glimind records every version of this server's tool definitions in a signed, append-only transparency log. Current manifest sha256:b1bffaa99b5dc175…, first seen 2026-10-17, included at leaf 2388 of 52,011. Version history · verify what your client received.
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Glimind tells agents whether a server is up right now and how to call it, then fails over to a live alternative when it isn't.
Claude Code
claude mcp add --transport http glimind https://glimind.com/mcp
Claude Desktop · Windsurf · Cline (mcpServers JSON)
{
"mcpServers": {
"glimind": {
"type": "http",
"url": "https://glimind.com/mcp"
}
}
}
As of 2026-10-23 12:18 UTC, the Minglesai Ai Site Scorer MCP server is up with a Glimind reliability score of 65/100 (grade C). Over the last 30 days it answered 98.2% of Glimind's liveness checks. It had 277 outages in 90 days, with a median recovery of 3 minutes.
Minglesai Ai Site Scorer MCP server advertises 5 tools, including analyze_url, enhance_report, generate_fix_prompt, get_report, list_recent_analyses.
Point your MCP client at this streamable-http endpoint: https://ai-readiness.mingles.ai/api/mcp/
Glimind scanned all 5 tool definitions for tool-poisoning patterns — hidden or invisible characters, instructions that override the model, concealment from the user, requests to read credential or MCP config files, conversation exfiltration and cross-tool shadowing — and found none. This checks what the server tells the model, not what its code does; review the source before granting access to sensitive data.
Status page: 90-day uptime, every outage and how long it lasted.
Claim this listing to get the Verified operator marker, a remediation checklist and owner analytics, or embed the live badge from any of the tool pages above. Maintainers: alerts, deploy attestation and monthly reports.
Status is an automated estimate from Glimind's liveness checks (handshake and tool listing only; no tool is ever called) and may lag or differ from your network. Glimind is not affiliated with this server or its operator. Operator? Request a correction or opt out at https://glimind.com/opt-out.