Is the Aiblogly Models MCP server down?

mcp-registry/com.aiblogly/models · v1.0.0

healthy
Last checked 2026-10-26 18:04 UTC · handshake 215ms

As of 2026-10-26 18:04 UTC, the Aiblogly Models MCP server is up with a Glimind reliability score of 100/100 (grade A). Over the last 30 days it answered 100% of Glimind's liveness checks.

uptime (30d checks)
100%
checks observed
1,519
outages (90d)
0
tools
4

AI model facts from aiblogly.com: vendor API prices, context windows, licences, LMArena ranks.

Point your MCP client at this streamable-http endpoint: https://www.aiblogly.com/mcp

Agent-readiness: B (85/100)

B (85/100): 0 error(s), 1 warning(s) across 4 tool(s); ~536 tokens of tool definitions.
Scores higher than 45% of 15,768 MCP servers Glimind has audited.
Its tool list costs an agent ~536 tokens per session — lighter than 90% of servers.
85 → 85 since 2026-10-20
no tool-poisoning patterns
Schemas100
Descriptions100
Safety hints30
Token cost100
Client compatibility70
Protocol100
Reliability100
Stability100

What to fix (2)

4 of 4 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 →

Tools: compare_models, get_model, search_models, top_models

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 →

Auto-fix: 3 corrected tool definitions

Paste-ready definitions with the problems above fixed. Changes marked verify need a human look. All of them as JSON: /v1/readiness/mcp-registry%2Fcom.aiblogly%2Fmodels/fixes

compare_models 1 change 
{
  "name": "compare_models",
  "description": "Side-by-side facts for two models (price, context window, release date, licence, LMArena rank) and the aiblogly comparison page URL.",
  "inputSchema": {
    "type": "object",
    "required": [
      "a",
      "b"
    ],
    "properties": {
      "a": {
        "type": "string",
        "description": "First model name or slug."
      },
      "b": {
        "type": "string",
        "description": "Second model name or slug."
      }
    }
  },
  "annotations": {
    "readOnlyHint": true
  },
  "title": "Compare two AI models"
}
get_model 1 change 
{
  "name": "get_model",
  "description": "All published facts for one model: vendor price with its conditions, context window, release date, licence, status (retired/deprecated), LMArena rank, vendor source and the date it was checked, plus a one-paragraph summary.",
  "inputSchema": {
    "type": "object",
    "required": [
      "model"
    ],
    "properties": {
      "model": {
        "type": "string",
        "description": "Model name or aiblogly slug, e.g. \"Claude Haiku 5.5\" or \"claude-haiku-5-5\"."
      }
    }
  },
  "annotations": {
    "readOnlyHint": true
  },
  "title": "Get one AI model"
}
search_models 1 change 
{
  "name": "search_models",
  "description": "Find published AI models on aiblogly.com by name, vendor or category. Returns price per 1M tokens, context window, release date, licence, status and current LMArena rank, each with the model page URL to cite.",
  "inputSchema": {
    "type": "object",
    "properties": {
      "limit": {
        "type": "number",
        "description": "Maximum results, 1-25. Default 10."
      },
      "query": {
        "type": "string",
        "description": "Words to match in the model name, vendor or slug, e.g. \"claude\", \"gemini flash\", \"Mistral\"."
      },
      "category": {
        "enum": [
          "Coding",
          "Image Generation",
          "Video Generation",
          "Audio Generation"
        ],
        "type": "string",
        "description": "Optional. \"Coding\" holds the text/LLM models."
      }
    }
  },
  "annotations": {
    "readOnlyHint": true
  },
  "title": "Search AI models"
}

Get alerted

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/com.aiblogly/models"],"email":"[email protected]"}'

Agents: watch_tool({"toolId": "mcp-registry/com.aiblogly/models"}) over MCP.

Passed

Largest tool definitions

Static 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:

Markdown 
[![MCP agent-readiness](https://glimind.com/v1/readiness/badge/mcp-registry%2Fcom.aiblogly%2Fmodels.svg)](https://glimind.com/server/mcp-registry%2Fcom.aiblogly%2Fmodels?ref=badge)
HTML 
<a href="https://glimind.com/server/mcp-registry%2Fcom.aiblogly%2Fmodels?ref=badge"><img src="https://glimind.com/v1/readiness/badge/mcp-registry%2Fcom.aiblogly%2Fmodels.svg" alt="MCP agent-readiness"></a>
reStructuredText 
.. image:: https://glimind.com/v1/readiness/badge/mcp-registry%2Fcom.aiblogly%2Fmodels.svg
   :target: https://glimind.com/server/mcp-registry%2Fcom.aiblogly%2Fmodels?ref=badge
   :alt: MCP agent-readiness

Tool-definition log

Glimind records every version of this server's tool definitions in a signed, append-only transparency log. Current manifest sha256:ab43d856f5e17055…, first seen 2026-10-20, included at leaf 34631 of 74,591. Version history · verify what your client received.

Tools (4)

Compare: most reliable retrieval servers · most reliable search servers · most reliable knowledge servers

Know before your agent calls it

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.

Add Glimind — free, no signup:

Add to Cursor Add to VS Code

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"
    }
  }
}

FAQ

Is the Aiblogly Models MCP server down right now?

As of 2026-10-26 18:04 UTC, the Aiblogly Models MCP server is up with a Glimind reliability score of 100/100 (grade A). Over the last 30 days it answered 100% of Glimind's liveness checks.

How many tools does Aiblogly Models MCP server provide?

Aiblogly Models MCP server advertises 4 tools, including compare_models, get_model, search_models, top_models.

How do I install Aiblogly Models MCP server?

Point your MCP client at this streamable-http endpoint: https://www.aiblogly.com/mcp

Is the Aiblogly Models MCP server safe to connect to an AI agent?

Glimind scanned all 4 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.

Operator of Aiblogly Models MCP server?

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.

Feedback
Help us improve