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PyModel/jev-judge-mcp

Typed judgment tools for MCP agents. TypeSafe's Jev model as verify, screen, find, classify, rerank, decide, compare, extract, review, gate, and score: the model judges, policy decides auto, review, or escalate.

Latest metrics (snapshot 2026-10-14)

stars72
forks5
issues0
pushed_at2026-10-07T19:01:51Z

History

History chart: 1 daily snapshot so far (archive started 2026-10-14). The line fills in as the daily archive grows; full series via the API.

DateGitHub stars
2026-10-1472

ADC Momentum: 22/100

ADC Momentum 22 Leaderboard

Growth velocity13
Consistency11
Recency71
Agent demand0
Basisbootstrap

ADC Momentum (0-100) = 45% growth velocity (stars/likes gained per day in our daily archive, relative and absolute, percentile-ranked within the category) + 20% consistency (share of recent days with growth) + 20% recency (latest push/update/release, decaying) + 15% agent demand (how often AI agents looked it up via our API/MCP this week). MCP servers use release cadence; LLMs use price cuts, context and recency. Recomputed daily; scores marked "bootstrap" use lifetime rates until the archive has enough days. Method

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Details

descriptionTyped judgment tools for MCP agents. TypeSafe's Jev model as verify, screen, find, classify, rerank, decide, compare, extract, review, gate, and score: the model judges, policy decides auto, review, or escalate.
urlhttps://github.com/PyModel/jev-judge-mcp
languagePython
licenseMIT
topicsagent-tools
ai-agents
ai-guardrails
classification
claude-code
fact-checking
guardrails
llm
llm-as-a-judge
llm-evaluation
mcp
mcp-server
created_at2026-09-23T22:48:43Z

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