SDKs & framework integration — page 12

Classification of human/agent messages using Jev in Claude-Code/OpenCode

Serveur MCP pour piloter Firefox avec Claude : Jev (TypeSafe) choisit les clics, Claude planifie. Benchmark inclus.

An MCP server and CLI that rank postings against your profile, explain every score, and measure the ranking against your own judgment.

TypeScript MCP server that finds TikTok and YouTube micro-KOLs, tags their niche, scores campaign fit with Jev, and drafts outreach emails. Results are cached locally in SQLite.

MCP server that lets Claude Code, Codex & AI agents drive a real Chrome browser with JEV (TypeSafe System One): ~100 ms typed decisions, calibrated confidence, human-in-the-loop questions, safety gates and a debug trace.

Stop AI agents from executing MCP tools unchecked — policy, approval, JEV decisions, and one-use execution permits.

Nearly half the agent cost, with accuracy intact. Just enough tools is a DeepSeek Harness plugin that uses Jev to reveal tools and skills progressively. The main model starts with a clean planning step. Jev then selects which capabilities to add as the task unfolds.

DeepSeek Harness WSL plugin: TypeSafe Jev / OpenRouter System One (jev_ask / check / rank)

Local MCP server for TypeSafe Jev typed decisions, with Codex integration

Claude Code plugin that routes skill selection and post-turn code judgment through TypeSafe Jev on OpenRouter

JevCore Agent — local coding harness (Jev decisions, Guard hard policy, MCP + CLI)

OpenCode plugin that routes per-request reasoning effort for agents via Jev (TypeSafe SystemOne) — cheap prompts stay cheap, hard ones get full reasoning

MCP server exposing TypeSafe's Jev through the public OpenJEV API. Send one shared context and several independent questions; get typed judgments and probabilities back — choice, score, or yes/no — not prose. Built for DeepSeek Harness; runs unchanged in any MCP client.

.Net SDK for the TypeSafe Jev API

A plugin that lets you build reusable **solution signatures** for any classification or scoring problem, then run CSV, Excel, or text file datasets through the [TypeSafe Jev](https://docs.typesafe.ai) API and export structured results to Excel.

🧠 MCP server for TypeSafe's Jev model

MCP server + CLI exposing TypeSafe's Jev judgment model as typed noul/choice/score tools — with a typed escalation contract, an action gate, and TypeSafe/OpenRouter/Vercel/mock backends

A zero-dependency MCP server for TypeSafe's Jev — calibrated, typed judgments for Claude Code, with a local answer cache and cost tracking.

A probabilistic, AI-powered utility to determine if a number is not odd (or not even) using TypeSafe's Jev model and the Vercel AI SDK.

Lightweight MCP server exposing TypeSafe Jev decision tools via OpenRouter for Hermes Agent

MCP server exposing TypeSafe's Jev typed-decision model over the TypeSafe API or OpenRouter

用 TypeSafe Jev 给 AI coding agent 做持续代码质量 review 的校准审计层。持久化 19 维质量分数，输出趋势矩阵、假阳性置信检测、rubric 漂移与 ECE 校准曲线。Node 22+，零运行时依赖，CLI + GitHub Action，直接消费 jev_review 的 MCP 评估结果。

A .NET client library for the [TypeSafe AI](https://typesafe.ai) System One API (`https://api.typesafe.ai`).

通用客服平台:ChatKit UI + Jev 决策 + Qwen 生成 + RAG 知识库 + 插件化 Tools + MCP 数据面,换行业只改 YAML 不改代码