Is the Llmse MCP server down?

mcp-registry/ai.llmse/mcp · v1.25.0

As of 2026-10-26 23:43 UTC, the Llmse MCP server is up with a Glimind reliability score of 66/100 (grade C). Over the last 30 days it answered 97.7% of Glimind's liveness checks. It had 127 outages in 90 days, with a median recovery of 2 minutes.

Public MCP server for the LLM Search Engine

Point your MCP client at this streamable-http endpoint: https://llmse.ai/mcp

Agent-readiness: C (73/100)

What to fix (3)

Auto-fix: 7 corrected tool definitions

Paste-ready definitions with the problems above fixed. Changes marked verify need a human look. 10 tool(s) still need parameter descriptions written by someone who knows the API. All of them as JSON: /v1/readiness/mcp-registry%2Fai.llmse%2Fmcp/fixes

{
  "name": "analyze_aeo",
  "description": "Analyze how well content is optimized for AI answer engines.\n\n    Evaluates content for AI answer engines (ChatGPT, Perplexity, Gemini, Claude).\n    Combines Q&A pattern detection, snippet extractability, and entity clarity\n    analysis with a full Citation Readiness assessment.\n\n    AEO Scoring Framework (100 points):\n    - Answer Format Detection: 30 points (Q&A extractability patterns)\n    - FAQ Schema Presence: 20 points (FAQPage schema markup)\n    - HowTo Schema Presence: 15 points (HowTo s",
  "inputSchema": {
    "type": "object",
    "title": "analyze_aeoArguments",
    "required": [
      "url"
    ],
    "properties": {
      "url": {
        "type": "string",
        "title": "Url"
      }
    }
  },
  "annotations": {
    "readOnlyHint": true
  }
}

{
  "name": "analyze_eeat",
  "description": "Analyze a website URL for E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness).\n\n    Evaluates content quality signals based on Google's Search Quality Rater Guidelines\n    and \"Creating helpful content\" documentation. Detects EEAT signals including:\n    - Experience: First-person language, case studies, testimonials, years of experience\n    - Expertise: Author credentials, certifications, professional memberships, topic depth\n    - Authoritativeness: Organization schema, awards, ",
  "inputSchema": {
    "type": "object",
    "title": "analyze_eeatArguments",
    "required": [
      "url"
    ],
    "properties": {
      "url": {
        "type": "string",
        "title": "Url"
      }
    }
  },
  "annotations": {
    "readOnlyHint": true
  }
}

{
  "name": "analyze_garm",
  "description": "Compute GARM brand safety score for a website or category.\n\n    Based on the GARM (Global Alliance for Responsible Media) Brand Suitability\n    Framework. Maps content categories to 11 GARM sensitive content categories\n    with risk levels (Floor, High, Medium, Low).\n\n    Can either:\n    1. Provide a URL - classification will be fetched and mapped to GARM\n    2. Provide category and sentiment directly for instant scoring\n\n    Score interpretation: higher = safer for advertising.\n    Floor catego",
  "inputSchema": {
    "type": "object",
    "title": "analyze_garmArguments",
    "properties": {
      "url": {
        "anyOf": [
          {
            "type": "string"
          },
          {
            "type": "null"
          }
        ],
        "title": "Url",
        "default": null
      },
      "category": {
        "anyOf": [
          {
            "type": "string"
          },
          {
            "type": "null"
          }
        ],
        "title": "Category",
        "default": null
      },
      "sentiment": {
        "anyOf": [
          {
            "type": "string"
          },
          {
            "type": "null"
          }
        ],
        "title": "Sentiment",
        "default": null
      }
    }
  },
  "annotations": {
    "readOnlyHint": true
  }
}

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/ai.llmse/mcp"],"email":"[email protected]"}'

Agents: watch_tool({"toolId": "mcp-registry/ai.llmse/mcp"}) over MCP.

Passed

• Every tool has a well-formed, typed input schema.
• No tool-poisoning patterns (hidden characters, instruction overrides, concealment, secret access, tool shadowing).
• Compact tool list (~2,188 tokens).
• Tool names are unique and portable across clients.
• Speaks MCP 2025-06-18.
• No breaking contract changes in 30 days.

Largest tool definitions

• select_advertiser ~391 tokens
• analyze_garm ~249 tokens
• find_similar_sites ~210 tokens
• analyze_readability ~195 tokens
• classify_url ~194 tokens

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:

[![MCP agent-readiness](https://glimind.com/v1/readiness/badge/mcp-registry%2Fai.llmse%2Fmcp.svg)](https://glimind.com/server/mcp-registry%2Fai.llmse%2Fmcp?ref=badge)

<a href="https://glimind.com/server/mcp-registry%2Fai.llmse%2Fmcp?ref=badge"><img src="https://glimind.com/v1/readiness/badge/mcp-registry%2Fai.llmse%2Fmcp.svg" alt="MCP agent-readiness"></a>

.. image:: https://glimind.com/v1/readiness/badge/mcp-registry%2Fai.llmse%2Fmcp.svg
   :target: https://glimind.com/server/mcp-registry%2Fai.llmse%2Fmcp?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 sha256:8bd26501c7cf58e0…, first seen 2026-10-17, included at leaf 15113 of 76,136. Version history · verify what your client received.

Tools (10)

• analyze_aeo
• analyze_eeat
• analyze_garm
• analyze_readability
• analyze_seo
• analyze_wcag
• audit
• classify_url
• find_similar_sites
• select_advertiser

Compare: most reliable web servers · most reliable ml servers · most reliable search servers · most reliable advertising servers

claude mcp add --transport http glimind https://glimind.com/mcp

{
  "mcpServers": {
    "glimind": {
      "type": "http",
      "url": "https://glimind.com/mcp"
    }
  }
}

FAQ

Is the Llmse MCP server down right now?

As of 2026-10-26 23:43 UTC, the Llmse MCP server is up with a Glimind reliability score of 66/100 (grade C). Over the last 30 days it answered 97.7% of Glimind's liveness checks. It had 127 outages in 90 days, with a median recovery of 2 minutes.

How many tools does Llmse MCP server provide?

Llmse MCP server advertises 10 tools, including analyze_aeo, analyze_eeat, analyze_garm, analyze_readability, analyze_seo.

How do I install Llmse MCP server?

Point your MCP client at this streamable-http endpoint: https://llmse.ai/mcp

Is the Llmse MCP server safe to connect to an AI agent?

Glimind scanned all 10 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 Llmse 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.