mcp-registry/io.github.minglesai/ai-site-scorer · v1.0.0
As of 2026-10-23 02:18 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 276 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.
Handshake + tools/list takes ~1,545 ms.
Serve tools/list from memory, keep the process warm, and host close to your users. Every new agent session pays this before its first call.
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 49,448. 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 02:18 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 276 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.