MarketAIVerse
https://marketaiverse.com/api/v1/mcp ↗
Description
Which LLMs actually run on your GPU, and how fast. Mixture-of-experts included.
What our measurements say
MarketAIVerse is a remote MCP server published at marketaiverse.com. It has been probed 6 times since 9/14/2026. It answered in 6 of them (100.0%), a near-uninterrupted record. Median response time is 210 ms, placing it among the faster endpoints. It offers a narrow, focused set of 6 tools. On the protocol side it still runs 2025-11-25 and has not moved to the newer spec.
Agent readability score
Can an LLM agent pick the right tool here — names, descriptions and parameter clarity are assessed.
Agent readability score
Strengths
- Some tools have clear, specific parameters (e.g., 'vezi_produsul' requires a mandatory 'id').
- The 'ce_pot_rula' tool explains unique capabilities (mixture-of-experts handling).
Weaknesses
- Tool names like 'cauta_pe_raft' and 'cauta_dupa_nevoie' are ambiguous and overlap in purpose.
- Descriptions often omit use cases (e.g., 'cauta_dupa_nevoie' cuts off mid-sentence).
- Parameters like 'intra' and 'iese' lack clear definitions or context.
- No explicit error handling or constraints are documented for most tools.
cauta_pe_raft— Name overlaps with 'cauta_dupa_nevoie', causing potential confusion.cauta_dupa_nevoie— Description cuts off mid-sentence, missing critical context.compara— Parameter 'id_uri' lacks explanation of what IDs refer to.unelte_gratuite— Description mentions unbenchmarked tools but doesn't clarify limitations.intra— Parameter name is ambiguous and lacks clear purpose in description.
Verdict
Event narrative
Sign up free to generateSchema compliance
tools/list structure, inputSchema validity, and a functional smoke test — the components of the 0-100 score.
- tools/list schema valid
- inputSchema is valid JSON Schema
- Smoke test passed · last run:
- Cold-start: cold 64ms → warm 55ms (penalty 9ms)
Tools
Tools the server advertised in the latest measurement — measured, not catalog-claimed.
cauta_pe_raftSearch everything on the MarketAIVerse shelf: things for sale, free things, and free tools made by other people that we collected. Returns what each thing is, who made it, the price, and whether we measured it. If a number is missing, that means we have not measured it — it is not an error.
doar_gratisbooleandoar_masuratebooleantextstring
cauta_dupa_nevoieDescribe the problem in your own words, in any language - 'extract invoices from PDFs and return JSON', 'traducere de manuale tehnice' - and get back the closest things on the shelf, each with a score and WHY it matched. IMPORTANT, and please pass this on to whoever asked you: this does not decide for you. The match is on words and on what goes in and out, not on the meaning of the sentence, so read the reason before trusting the rank. A match whose only reason is one common word is usually a coincidence. Above 0.35 is worth a look; below 0.15 usually is not. The shelf is small: nine things are ours and twenty-eight are free tools made by other people that we collected.
doar_gratisbooleaniesestringintrastringnevoiestringrequired
comparaPut two or more things next to each other on the fields we can actually stand behind: price, what goes in and out, what it needs, how it is called, and what we measured. IMPORTANT: a field that is empty means we did not measure it. It does not mean zero and it does not mean bad. We do not publish numbers we did not take.
id_uriarrayrequired
vezi_produsulEverything we publish about one product, including its measurements with the machine and date each one happened on.
idstringrequired
unelte_gratuiteFree AI tools made by other people, collected by us: engines to run models locally, agent frameworks, image and video models, vector databases. We do not sell these, we earn nothing from them, and we have not benchmarked them.
desprestring
ce_pot_rulaTell it a graphics card and how much system RAM, and it answers which language models will run and roughly how fast. Unlike ordinary VRAM calculators it knows that a mixture-of-experts model can keep its experts in system RAM, so it does not say 'impossible' where it is possible. Numbers labelled REAL happened on a named machine on a named date; numbers labelled MODELAT are computed and come as a range.
cuantstringplacastringrequiredram_gbintegerrequiredtip_ramstring
Availability history
Event log
Derived by comparing consecutive probes — changes in era, protocol version, build and reachability.
- Added to watch — era: Legacy
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[](https://mcpmetrics.io/servers/com-marketaiverse-marketaiverse)<a href="https://mcpmetrics.io/servers/com-marketaiverse-marketaiverse"><img src="https://mcpmetrics.io/badge/com.marketaiverse/marketaiverse/era.svg" alt="mcpmetrics"></a>You are seeing the last 7 days. Sign up for the full history. Which check failed and why is in the dashboard.
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