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CommunityTools & Integrations2 starsVerified 2026-09-22

jev-scout

A Rust CLI and stdio MCP server that grounds repository and crate discovery in live GitHub and crates.io metadata, then lets Jev score candidates so only verified, installable packages are returned.

Open github.comAkashPriyadarshii/jev-scout
Category
Tools & Integrations
Published by
Community
Author
AkashPriyadarshii
Added
2026-09-22
Tagscommunityrustclimcpsearch

Highlights

  • Queries the GitHub REST API and crates.io for live metadata, then scores every candidate in one speculative Jev call with roughly a one-second API floor.
  • Jev answers with Score for architectural fit, Noul for the probability of active maintenance, and Choice for the single best match.
  • Ranks by confidence-weighted score (score times confidence) and returns only verified repositories with exact stars, licenses, and clone commands.
  • Exposes a scout_repos MCP tool taking query plus ecosystem (all, github, crates), limit (1-10), and strict filtering of weak matches.
  • Installs from crates.io with cargo install jev-scout and needs a TYPESAFE_API_KEY exported before searching.

Quickstart

bash
cargo install jev-scout
export TYPESAFE_API_KEY="YOUR_API_KEY"
jev-scout "fast sqlite tui in rust" --json

Watch out

MIT-licensed. Needs Rust and a TYPESAFE_API_KEY; every search calls the live TypeSafe endpoint and depends on GitHub and crates.io metadata quality.

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From the community

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Follow @typesafeai

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Kostas
Kostas
@Kostastsale
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This made me rethink where AI actually fits into security engineering. For purely engineering work, forget about ChatGPT or Claude. TypeSafe AI just released Jev, and I think it’s going to change how we build AI into security workflows. Instead of asking an LLM to “investigate Show more

TypeSafe AI
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@typesafeai

we are officially out of stealth! join the frontier and get access to Jev on our website (link on profile)

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A million judged questions

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iwashi / Yoshimasa Iwase
iwashi / Yoshimasa Iwase
@iwashi86
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Jevの内部アーキテクチャを推測している技術記事(Jev’s Architecture Unmasked)からメモ。 ・本記事はJevのAPIを約1万回の呼び出して、内部構造を推測したもの ・従来の言語モデルを用いた分類やルーティングでは、トークンを1文字ずつ逐次生成するために膨大な無駄な計算コストが発生していた。 Show more

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The open System One roundup

小墨同学
小墨同学
@xiaomovps
·

Jev 发布没几天，开源社区已经开始疯狂复刻了🔥 最值得推荐的五个模型： 1、Laya 421M：原生决策模型，支持 Mac 2、Decider-2B：最像 Jev，基于 Qwen3.5 3、NanoJev 0.6B：专门的 Decision Head 4、Reflex：Qwen3.5 + Direct Logits 5、System-One 4B：专门做概率校准 Show more

小墨同学
小墨同学
@xiaomovps

Jev 刚发布没几天，开源社区就出现了同款🔥 Decider-2B模型，是基于 Qwen3.5-2B 做了特殊调整 它和 Jev 模型是一样的 只做选择 评分和判断 不是文本类的 LLM 模型 但两者还是有几个明显区别： 1、模型 Jev：闭源 System One Model Decider：Qwen3.5-2B，约 1.9B 参数，Apache 2.0 开源 2、价格

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The launch post