Google tells you what exists. Faceabot tells you what holds up.
Lint Jev and Luna decision-model questions, or ask the model to check them with your key.
Package npm :decisionlint-mcp · website · measurements and detailsLocal Issue triage with optional Jev judgments and calibrated acceptance gates.
Package mcpb :https://github.com/f-tiger/jev-decision-gate/releases/download/v0.3.1/jev-decision-gate-0.3.1.mcpb · website · measurements and detailsStyle check, naming, complexity analysis for AI agents
Package npm :@rog0x/mcp-lint-tools · website · measurements and detailsEvidence-oriented code questions, diff review and test selection via a Jev endpoint.
Package npm :jev-agent-tools · website · measurements and detailsTyped decisions with Jev / System One via OpenRouter or TypeSafe: classify, verify, rerank, decide.
Package oci :ghcr.io/freepik-company/jev-mcp:v0.3.1 · website · measurements and detailsJev judgments for agents: injection scanning, shell risk gating, ranking
Package pypi :jev-mcp · website · measurements and detailsTyped decision tools for AI agents, powered by TypeSafe Jev.
Package pypi :arbitype · website · measurements and detailsTyped Jev decisions in one tool: choice, score, yes/no probabilities via any compatible endpoint.
Package npm :jev-decision-mcp · website · measurements and detailsSearch and understand videos without embeddings: contact sheets plus Jev typed decisions.
Package pypi :jevreel · website · measurements and detailsTyped-question decisions from Jev: classify, moderate, route models and guard tool calls.
MCP endpoint :https://jevstation.com/api/mcp · website · measurements and detailsStructured linting output (ESLint, format-check) as typed JSON diagnostics.
Package npm :@paretools/lint · website · measurements and detailsLint Verilog and SystemVerilog files and projects with structured diagnostics.
Package pypi :rtl-lint-mcp · measurements and detailsGrade essays, check resumes, and ask typed yes/no, choice and rubric questions, powered by Jev.
MCP endpoint :https://jev-agent.com/api/mcp · website · measurements and detailsTyped yes/no, pick-one and score judgments from Jev in one batched call; typed escalation back.
Package npm :jev-use · website · measurements and detailsEvaluate state with typed choice, score, and probability questions.
MCP endpoint :https://gen.pollinations.ai/mcp/ask-jev · website · measurements and detailsPare Lint ג€” Structured linting and formatting (ESLint, Prettier, Biome, Oxlint) as typed JSON.
Package npm :@paretools/lint · website · measurements and detailsLint a SKILL.md for frontmatter, structure, secrets and size. All 6 tools free.
MCP endpoint :https://mcp.moltlinestudio.com/skillmd-lint · website · measurements and detailsLocal 2B and 0.8B decision models: calibrated yes/no, choice and score answers for your agent.
Package pypi :jev-style · website · measurements and detailsAsk TypeSafe Jev yes/no, choice and score questions and receive structured model judgments.
Package pypi :judgevet · website · measurements and detailsLint MCP tool schemas for cross-client compatibility and agent preflight safety.
Package npm :mcp-lint · website · measurements and detailsAI agents: all of this is available without keys over MCP https://faceabot.com/api/mcp · HTTP https://faceabot.com/api/catalog?q=… · Guide : llms.txt
Best tool by topic · Pulse: what is changing in agent commerce · Is your store ready for AI shopping agents? · State of MCP (weekly) · MCP server doctor · Reliability data · Faceabot app · Faceabot → AI assistants · What AI agents cannot find yet · Add Faceabot to your AI · Badge for tool publishers · Help · Privacy · Terms