Is the Ai Portal MCP server down?

mcp-registry/ai.ai-portal/ai-portal · v1.0.0

healthy
Last checked 2026-10-27 00:26 UTC · handshake 241ms

As of 2026-10-27 00:26 UTC, the Ai Portal 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. It had 2 outages in 90 days, with a median recovery of 12.9 hours.

uptime (30d checks)
100%
checks observed
4,959
outages (90d)
2
tools
4

Live AI data for agents: model releases, regulations (EU AI Act), GenAI glossary, daily news.

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

Agent-readiness: B (80/100)

B (80/100): 0 error(s), 2 warning(s) across 4 tool(s); ~514 tokens of tool definitions.
Scores higher than 18% of 15,774 MCP servers Glimind has audited.
Its tool list costs an agent ~514 tokens per session — lighter than 90% of servers.
78 → 80 since 2026-10-17
no tool-poisoning patterns
Schemas100
Descriptions73
Safety hints30
Token cost100
Client compatibility70
Protocol100
Reliability100
Stability100

What to fix (3)

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: get_latest_news, list_regulations, list_releases, search_glossary

1 parameter(s) across 1 tool(s) have no description.

Add a "description" to each parameter with its format and an example ("ISO 8601 date, e.g. 2026-10-17"). This is the commonest cause of wrong arguments on the first call. How to fix →

Tools: search_glossary

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: 4 corrected tool definitions

Paste-ready definitions with the problems above fixed. Changes marked verify need a human look. 1 tool(s) still need parameter descriptions written by someone who knows the API. All of them as JSON: /v1/readiness/mcp-registry%2Fai.ai-portal%2Fai-portal/fixes

get_latest_news 1 change
{
  "name": "get_latest_news",
  "description": "Latest curated GenAI news items from AI-Portal, refreshed every weekday morning.",
  "inputSchema": {
    "type": "object",
    "properties": {
      "limit": {
        "type": "number",
        "description": "Max items to return (default 10, max 30)"
      }
    }
  },
  "annotations": {
    "readOnlyHint": true
  },
  "title": "Get latest GenAI news"
}
list_regulations 1 change
{
  "name": "list_regulations",
  "description": "List AI regulations and their compliance status (EU AI Act, ISO 42001, and more), including jurisdiction, effective dates, key requirements, and fines.",
  "inputSchema": {
    "type": "object",
    "properties": {
      "status": {
        "enum": [
          "In Force",
          "Transitional",
          "Draft",
          "Proposed"
        ],
        "type": "string",
        "description": "Filter by status"
      },
      "jurisdiction": {
        "type": "string",
        "description": "Jurisdiction substring, e.g. \"european\", \"israel\""
      }
    }
  },
  "annotations": {
    "readOnlyHint": true
  },
  "title": "List AI regulations"
}
list_releases 1 change
{
  "name": "list_releases",
  "description": "List AI model and product releases tracked by AI-Portal, newest first. Filter by category, provider, year, or landmark releases only.",
  "inputSchema": {
    "type": "object",
    "properties": {
      "year": {
        "type": "string",
        "description": "Four-digit year, e.g. \"2026\""
      },
      "limit": {
        "type": "number",
        "description": "Max items to return (default 25, max 100)"
      },
      "category": {
        "enum": [
          "llm",
          "multimodal",
          "image",
          "video",
          "tool",
          "framework"
        ],
        "type": "string",
        "description": "Release category"
      },
      "provider": {
        "type": "string",
        "description": "Provider name substring, e.g. \"anthropic\", \"google\""
      },
      "landmark_only": {
        "type": "boolean",
        "description": "Only landmark (major) releases"
      }
    }
  },
  "annotations": {
    "readOnlyHint": true
  },
  "title": "List AI model releases"
}

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.ai-portal/ai-portal"],"email":"[email protected]"}'

Agents: watch_tool({"toolId": "mcp-registry/ai.ai-portal/ai-portal"}) 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%2Fai.ai-portal%2Fai-portal.svg)](https://glimind.com/server/mcp-registry%2Fai.ai-portal%2Fai-portal?ref=badge)
HTML
<a href="https://glimind.com/server/mcp-registry%2Fai.ai-portal%2Fai-portal?ref=badge"><img src="https://glimind.com/v1/readiness/badge/mcp-registry%2Fai.ai-portal%2Fai-portal.svg" alt="MCP agent-readiness"></a>
reStructuredText
.. image:: https://glimind.com/v1/readiness/badge/mcp-registry%2Fai.ai-portal%2Fai-portal.svg
   :target: https://glimind.com/server/mcp-registry%2Fai.ai-portal%2Fai-portal?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 sha256:1f6fd657b6a6483a…, first seen 2026-10-17, included at leaf 4291 of 76,340. Version history · verify what your client received.

Tools (4)

Compare: most reliable knowledge servers · most reliable search servers

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  "mcpServers": {
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FAQ

Is the Ai Portal MCP server down right now?

As of 2026-10-27 00:26 UTC, the Ai Portal 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. It had 2 outages in 90 days, with a median recovery of 12.9 hours.

How many tools does Ai Portal MCP server provide?

Ai Portal MCP server advertises 4 tools, including get_latest_news, list_regulations, list_releases, search_glossary.

How do I install Ai Portal MCP server?

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

Is the Ai Portal 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 Ai Portal 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.

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