AI Wave

com.elopstudio.aiwave/ai-waveVersion 1.1.0

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

Status

Responds921 msNov 14, 2026, 13:55 UTCAnswered our handshake without sign-in.

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Last checked: Nov 14, 2026, 13:55 UTC
Latency: 921 ms
Remotes responding: 1 of 1
Sign-in: No sign-in
Hosting: Hosted outside the EU (detected)
Registry data as of: Nov 14, 2026, 22:14 UTC

Data from the official MCP Registry, checked by run.zero. How we check

Connect

Streamable HTTP

https://aiwave.elopstudio.com/api/mcpResponds921 msNov 14, 2026, 13:55 UTC

No sign-in

Claude Code

claude mcp add --transport http ai-wave https://aiwave.elopstudio.com/api/mcp

Claude Desktop and claude.ai

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Settings > Connectors > Add custom connector
Name: ai-wave
Remote MCP server URL: https://aiwave.elopstudio.com/api/mcp

Cursor

{
  "mcpServers": {
    "ai-wave": {
      "url": "https://aiwave.elopstudio.com/api/mcp"
    }
  }
}

VS Code

code --add-mcp '{"name":"ai-wave","type":"http","url":"https://aiwave.elopstudio.com/api/mcp"}'

Streamable HTTP

npm: @elopstudio/ai-wave-mcp 1.1.0

Package only

npm (npx)

claude mcp add ai-wave -- npx -y @elopstudio/ai-wave-mcp@1.1.0

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Tools

8 tools

Tools of AI Wave
	Description		Read-only	Idempotent	Open world
`compare_models`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.	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.	Not declared	Not declared	Not declared	Not declared
`estimate_cost`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.	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.	Not declared	Not declared	Not declared	Not declared
`find_replacement`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.	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.	Not declared	Not declared	Not declared	Not declared
`get_model`Pricing, context length and catalog status for one model. Accepts an OpenRouter id (anthropic/claude-opus-5) or a Hugging Face repo id.	Pricing, context length and catalog status for one model. Accepts an OpenRouter id (anthropic/claude-opus-5) or a Hugging Face repo id.	Not declared	Not declared	Not declared	Not declared
`get_price_history`Price history for one model: when the price changed and to what. The public catalog only exposes the current price, so this answers 'was this cheaper last month?'. Each entry holds until the next one. History starts when AI Wave began recording, not when the model launched.	Price history for one model: when the price changed and to what. The public catalog only exposes the current price, so this answers 'was this cheaper last month?'. Each entry holds until the next one. History starts when AI Wave began recording, not when the model launched.	Not declared	Not declared	Not declared	Not declared
`get_today`Today in one call: the top 5 models, which ones climbed, whose pricing changed in the last 24h, and what was newly listed in the last 7 days. Use this instead of paging list_model_changes and re-deriving the summary: price changes are already collapsed to one per model, with the raw count kept.	Today in one call: the top 5 models, which ones climbed, whose pricing changed in the last 24h, and what was newly listed in the last 7 days. Use this instead of paging list_model_changes and re-deriving the summary: price changes are already collapsed to one per model, with the raw count kept.	Not declared	Not declared	Not declared	Not declared
`list_model_changes`Changes across AI models: new releases, price changes, API changes and deprecations. Normalized from vendor release notes, Hugging Face, the OpenRouter catalog, GitHub and the LiteLLM price map, deduplicated per model, each marked official or pending review. Poll with `since` (unix seconds) and feed the returned `latest` back next time.	Changes across AI models: new releases, price changes, API changes and deprecations. Normalized from vendor release notes, Hugging Face, the OpenRouter catalog, GitHub and the LiteLLM price map, deduplicated per model, each marked official or pending review. Poll with `since` (unix seconds) and feed the returned `latest` back next time.	Not declared	Not declared	Not declared	Not declared
`search_models`Shortlist models by budget, context and capability, ranked by measured performance. Use this to answer 'which model should I use for X': it returns benchmark scores alongside price so the trade-off is visible in one call. Sort by a subject (math, coding, science, reading) to find a model good at one thing.	Shortlist models by budget, context and capability, ranked by measured performance. Use this to answer 'which model should I use for X': it returns benchmark scores alongside price so the trade-off is visible in one call. Sort by a subject (math, coding, science, reading) to find a model good at one thing.	Not declared	Not declared	Not declared	Not declared

Details

Registry status: Active
Published: Oct 13, 2026
Updated: Oct 13, 2026
Website: https://aiwave.elopstudio.com/api-docs⁠ (opens in a new tab)
Repository: https://github.com/elopstudio/ai-wave-mcp⁠ (opens in a new tab)
Categories (suggested): AI modelsSuggested categories are assigned automatically from the registry text and may be wrong. Verified operators can correct them.
GDPR: Not declared

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