Is the Elopstudio Aiwave Ai Wave MCP server down?

mcp-registry/com.elopstudio.aiwave/ai-wave · v1.1.0

healthy
Last checked 2026-10-27 13:44 UTC · handshake 497ms

As of 2026-10-27 13:44 UTC, the Elopstudio Aiwave Ai Wave 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 13.1 hours.

uptime (30d checks)
100%
checks observed
5,004
outages (90d)
2
tools
8

AI model releases, price changes and deprecations in one feed: chat, embedding, speech, video.

Point your MCP client at this streamable-http endpoint: https://aiwave.elopstudio.com/api/mcp

Agent-readiness: C (75/100)

C (75/100): 0 error(s), 3 warning(s) across 8 tool(s); ~1,471 tokens of tool definitions.
Scores higher than 10% of 15,816 MCP servers Glimind has audited.
Its tool list costs an agent ~1,471 tokens per session — lighter than 60% of servers.
73 → 75 since 2026-10-17
no tool-poisoning patterns
Schemas100
Descriptions64
Safety hints30
Token cost100
Client compatibility70
Protocol40
Reliability100
Stability100

What to fix (4)

8 of 8 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, estimate_cost, find_replacement, get_model, get_price_history and 3 more

3 parameter(s) across 3 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: get_model, list_model_changes, search_models

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 →

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: 8 corrected tool definitions

Paste-ready definitions with the problems above fixed. Changes marked verify need a human look. 3 tool(s) still need parameter descriptions written by someone who knows the API. All of them as JSON: /v1/readiness/mcp-registry%2Fcom.elopstudio.aiwave%2Fai-wave/fixes

compare_models 1 change
{
  "name": "compare_models",
  "description": "Put two or more models side by side: price, context, benchmark scores per subject, and what each costs per month at a given volume. Use this instead of calling get_model repeatedly: it aligns the fields and marks which subjects a model has not been tested on, so a missing score is not read as a low one.",
  "inputSchema": {
    "type": "object",
    "required": [
      "ids"
    ],
    "properties": {
      "ids": {
        "type": "array",
        "items": {
          "type": "string"
        },
        "description": "2-6 OpenRouter ids, e.g. ['anthropic/claude-opus-5','openai/gpt-5.2']"
      },
      "monthlyMillionTokens": {
        "type": "number",
        "description": "Volume for the cost estimate. Default 10 (10M tokens a month)."
      }
    }
  },
  "annotations": {
    "readOnlyHint": true
  }
}
estimate_cost 1 change
{
  "name": "estimate_cost",
  "description": "What one model costs per month at a given token volume, in USD and KRW. Token prices are per million and hard to reason about directly; this turns them into a monthly bill. Input and output are mixed 75/25 unless you pass your own split.",
  "inputSchema": {
    "type": "object",
    "required": [
      "id"
    ],
    "properties": {
      "id": {
        "type": "string",
        "description": "OpenRouter id or Hugging Face repo id"
      },
      "inputShare": {
        "type": "number",
        "description": "0-1, share of tokens that are input. Default 0.75"
      },
      "monthlyMillionTokens": {
        "type": "number",
        "description": "Default 10"
      }
    }
  },
  "annotations": {
    "readOnlyHint": true
  }
}
find_replacement 1 change
{
  "name": "find_replacement",
  "description": "What to switch to when a model is gone or you need a fallback. Ranked by closeness in measured performance, not by vendor or price: what you usually need to preserve first is the quality of the output. Candidates whose context window is less than half the original are excluded. Returns the score, price and context deltas so you can judge; we do not pick for you.",
  "inputSchema": {
    "type": "object",
    "required": [
      "id"
    ],
    "properties": {
      "id": {
        "type": "string",
        "description": "OpenRouter id or Hugging Face repo id"
      }
    }
  },
  "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/com.elopstudio.aiwave/ai-wave"],"email":"[email protected]"}'

Agents: watch_tool({"toolId": "mcp-registry/com.elopstudio.aiwave/ai-wave"}) 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.elopstudio.aiwave%2Fai-wave.svg)](https://glimind.com/server/mcp-registry%2Fcom.elopstudio.aiwave%2Fai-wave?ref=badge)
HTML
<a href="https://glimind.com/server/mcp-registry%2Fcom.elopstudio.aiwave%2Fai-wave?ref=badge"><img src="https://glimind.com/v1/readiness/badge/mcp-registry%2Fcom.elopstudio.aiwave%2Fai-wave.svg" alt="MCP agent-readiness"></a>
reStructuredText
.. image:: https://glimind.com/v1/readiness/badge/mcp-registry%2Fcom.elopstudio.aiwave%2Fai-wave.svg
   :target: https://glimind.com/server/mcp-registry%2Fcom.elopstudio.aiwave%2Fai-wave?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 sha256:3d0eb8bef1a4eb24…, first seen 2026-10-17, included at leaf 6161 of 79,630. Version history · verify what your client received.

Tools (8)

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{
  "mcpServers": {
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}

FAQ

Is the Elopstudio Aiwave Ai Wave MCP server down right now?

As of 2026-10-27 13:44 UTC, the Elopstudio Aiwave Ai Wave 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 13.1 hours.

How many tools does Elopstudio Aiwave Ai Wave MCP server provide?

Elopstudio Aiwave Ai Wave MCP server advertises 8 tools, including compare_models, estimate_cost, find_replacement, get_model, get_price_history.

How do I install Elopstudio Aiwave Ai Wave MCP server?

Point your MCP client at this streamable-http endpoint: https://aiwave.elopstudio.com/api/mcp

Is the Elopstudio Aiwave Ai Wave MCP server safe to connect to an AI agent?

Glimind scanned all 8 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 Elopstudio Aiwave Ai Wave 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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