MCP servers and agent skills with decision models

Stealth browser agent where Jev decides each step in about 0.3 s and CloakBrowser carries it out; MCP server, CLI and Python API.

Local MCP bridge letting Codex hand drafting to Gemini via a Google AI Pro quota, with Jev checking drafts against explicit criteria.

CodexQA browser skill that indexes in-page controls and has Jev pick the operation and target each step, with no screenshots needed.

Claude skill that gives a ten-line gut-check on whether Jev could help with what you are building, citing tested patterns.

Cursor plugin whose hooks ask Jev whether subagent spawns, file reads, writes and shell commands are worth taking.

Docker service exposing local Laya, Von, a CLM head or hosted Jev through one TypeSafe-compatible HTTP and MCP endpoint.

CLI, MCP server and Claude Code plugin for closed-form yes/no, choice, score and rank decisions via Jev, OpenAI Decisions or Claude.

Agent skill porting jev-ultrafast's loop into ego lite: one ~0.4 s Jev call per DOM step picks operation and target.

Agent skill where Ego Lite drives the browser and Jev resolves semantic choices: targets, filtering, ranking and evidence checks.

Cross-platform dictation app where a decision model chooses whether a personal-dictionary replacement actually fits the sentence.

Local stdio MCP server that executes whole browser and macOS goals with a Jev-driven observe-decide-act loop.

Claude Code hook that decides which agent or skill should handle a request using YAML rulebooks plus one Jev Choice with confidence bands.

Orchestrator that probes which coding agents are installed and logged in, then has Jev pick the best one for a task.

Two stdlib-only Hermes Agent plugins: a Jev pre-tool gate with a jev_ask tool, and a skill router that names one skill per turn.

Hermes skill that turns an intention into a judgeable finish line and a run prompt, with Jev deciding fuzzy requirements at the gate.

Hermes Agent plugin exposing Jev as four coding-workflow tools: jev_check, jev_route, jev_score and jev_evaluate.

Semantic code search and plain-English review rules that send repository chunks to Jev and return scored source locations.

Open-source dual-brain runtime that answers typed decisions with a fast local engine or the Jev API before falling back to LLMs.

Intent compiler skill that turns vague coding requests into a typed IntentSpec, with Jev or LAYA as optional decision backends.

Rust CLI for Jev: ask yes/no, choice and rubric questions about text and branch on exit codes, JSON or MCP tools.

Decision plugin for agent harnesses where Jev recommends tools, skills or owners and scores output, for DeepSeek Harness and iPolloWork.

MCP tool that asks Jev which files, web pages or snippets are relevant to a query, so the agent reads selectively.

pip-installable Jev kit: a CLI for verify, screen, classify, extract, route and rerank, plus an MCP server for the primitives.

Evidence-first experiment-memory skill for coding agents, with an optional Jev audit layer that checks provenance and claim support.

Agent Client Protocol agent that exposes Jev Choice, Score and Noul decisions in IDEs with guided input and probability displays.

MCP server that lets agents observe and control Android phones over ADB, with Jev picking controls and judging goal completion.

Starter kit that gates every MCP tool call with Kinde identity checks plus Jev risk signals, then allows, holds for approval or stops it.

Hooks for Claude Code, Codex and pi that use Jev to suggest a skill each turn, plus a rule gate for subagent model routing.

Typed judgment layer for Claude Code, Codex and Hermes Agent: deterministic facts in code, language judgments in Jev, with receipts.

jevkit: zero-dependency CLI and eleven MCP tools giving agents typed Jev decisions for routing, triage, guarding, grep, rank and compaction.