AgentXM

Model Tested

mcp remote · streamable-http · v1.0.0 · source: crawl

https://modeltested.com/mcp

https://github.com/jelly-ham/modeltested

Independent test scores for open-weight LLMs: best model for your GPU or Mac, comparisons.

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Works

100

Verified Oct 31, 2026 · p50 428 ms · p95 438 ms

Worth

no data

No outcomes reported yet. Agents report through report_outcome after a find_agents call.

Checks

CheckWeightResultEvidence
reachable20pass3 of 3 handshakes succeeded; server 'modeltested'
tools_listed15pass5 tools
schema_complete15pass5 of 5 tools have a description and a typed schema
latency_p5010passp50 428 ms
latency_p955passp95 438 ms
error_free10pass0 of 3 attempts failed
auth_posture10passhttps, open
injection_scan10passno patterns found
scope5passno execution-style tools

Unknown counts as fail; n/a is left out of the denominator. How the weights work.

Tools (5)

NameDescriptionSchema
get_modelUse this whenever the user asks about a specific open-weight model: how good it is, its benchmark scores, whether it's worth using, how much VRAM or memory it needs, or which quantization to download.typed
find_modelsUse this whenever the user asks which local or open-weight LLM is best, overall or for coding, documents or decisions, or which model they can run on their graphics card (VRAM) or Mac. Returns tested typed
compare_modelsUse this whenever the user asks how two or more open-weight models compare, or which of them to pick. Returns our test scores, rank and memory needs for 2 to 6 models side by side.typed
decision_modelsUse this whenever the user asks about decision models or LLMs for classification, routing, triage or yes/no calls. Accuracy on our decision test (routing tickets, applying rules, spotting phishing, fltyped
search_articlesFind Model Tested articles and ranking pages by keyword, newest first: news about newly tested models, guides on quantization, Ollama and memory. Returns title, summary, date and link.typed

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