AI Wave by aiwave.elopstudio.com
MCP server · Embeddings & rerankers · indexed, not reviewed
HostedLocalvendor's own
Not reviewed
No score, grade or rank. This listing is facts from the official MCP registry and our own checks, and it stays out of the rankings until the panel reviews it.
AI model releases, price changes and deprecations in one feed: chat, embedding, speech, video.
Facts
- MCP registry
com.elopstudio.aiwave/ai-wave· 1.0.3- Endpoint
https://aiwave.elopstudio.com/api/mcp- Packages
npm@elopstudio/ai-wave-mcp stdio- npm / week
- 56
- GitHub stars
- 0
- Registry entry
- updated 15 Sep 2026
From the official MCP registry, the package registries and our own checks. JSON · Markdown
Why it's listed
- It's published in the registry under aiwave.elopstudio.com, a namespace the registry only gives to whoever proves they control that domain.
Being indexed says nothing about quality, and nobody can pay for it. Is this yours? Ask for a review.
Tools it lists 8 · about 1,321 tokens of context · checked 4 hours ago
| Tool | What it does | Hint |
|---|---|---|
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,… | |
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. | |
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… | |
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… | |
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… | |
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… | |
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:… | |
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… |
What https://aiwave.elopstudio.com/api/mcp answered to tools/list, asked without credentials. answered without the initialize handshake. The token figure is the size of the list as sent, divided by four; a model sees about that much before it calls anything. Full definitions, input schemas included, are in the listing's JSON under mcpTools.
How its tools read to an agent 0 errors · 11 warnings · 1 note
- warnTC11get_modelits one parameter, id, has no description
- warnTC11list_model_changes1 parameter without a description: type
- warnTC11search_models1 parameter without a description: minContext
- warnTC16compare_modelsno readOnlyHint or destructiveHint
- warnTC16estimate_costno readOnlyHint or destructiveHint
- warnTC16find_replacementno readOnlyHint or destructiveHint
- warnTC16get_modelno readOnlyHint or destructiveHint
- warnTC16get_price_historyno readOnlyHint or destructiveHint
- warnTC16get_todayno readOnlyHint or destructiveHint
- warnTC16list_model_changesno readOnlyHint or destructiveHint
- warnTC16search_modelsno readOnlyHint or destructiveHint
- noteTC24server8 of 8 tools have no outputSchema
The checks from /check and anchor check, run each day on the list above: about 1,321 tokens of definitions. Not part of the score yet. Check your own server.