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crit

Build, evaluate and serve a bespoke LLM inference engine for your own GPU with crit's commands.

Servidor MCP · de crit-labs

Resumo

crit é um servidor MCP publicado por crit-labs. Marketplaces que lemos e que o listam: 1 (Official MCP Registry). A última mudança que registramos foi em 2026-11-12. Conforme nossa passagem pelos marketplaces em 2026-11-13.

O que pede

  • Roda na sua máquina

Nenhum dos marketplaces que lemos publica as ferramentas ou as configurações que ele pede.

O que declara, pede e executa, por completo

Instale apenas plugins de desenvolvedores em quem você confia. Mostramos o que os marketplaces publicam e não testamos plugins.

Funciona com

  • Claude Code
  • Codex
  • Cursor
  • VS Code
  • Copilot CLI

Um link de um clique abre o cliente, que pede confirmação antes de adicionar o servidor.

Pelos marketplaces que o listam e pelo transporte MCP que declara, conforme cada cliente documenta. Não testamos plugins.

Conectar

Comandos e configurações gerados apenas a partir do que os marketplaces declaram. Não os executamos por você e não testamos plugins.

Como servidor MCP local: pacote PyPI

Gerado a partir do que Official MCP Registry declara.

Claude CodeTerminal
claude mcp add --transport stdio crit -- uvx crit mcp
Codex~/.codex/config.toml
[mcp_servers.crit]
command = "uvx"
args = ["crit", "mcp"]
Cursor~/.cursor/mcp.json
{
  "mcpServers": {
    "crit": {
      "command": "uvx",
      "args": [
        "crit",
        "mcp"
      ]
    }
  }
}

Onde está publicado

MarketplaceStatusVersãoNúmerosVerificadoVisto pela primeira vez
Official MCP Registry (Abrir o registro) Listado 0.17.2 Forks (GitHub): 3
Estrelas (GitHub): 45
Sem marcação

Cada número é do próprio marketplace e nunca é somado entre marketplaces. Um marketplace que não publica números não mostra nenhum: sem número não é zero.

O que mudou

  1. Passou a ser um produto que acompanhamos
  2. Official MCP Registry: apareceu

Plugins semelhantes

Produtos cujos próprios nomes, descrições, ferramentas e skills são os mais próximos deste pelo significado, em todos os marketplaces que lemos. A proximidade é ordenada apenas dentro desta lista.

  • llm-checker

    Intelligent CLI tool with AI-powered model selection that analyzes your hardware and recommends optimal LLM models for your system

    de signerless · Servidor MCP

    Listado em: npm registry (MCP servers) · Descreve quase a mesma tarefa

  • Sezzlee Local LLM

    Let a planning agent hand bounded language work to a local Ollama model.

    de sezzlee · Servidor MCP

    Listado em: Official MCP Registry · Descreve quase a mesma tarefa

  • toolroute io.github.grossiweb/toolroute

    Route AI agent tasks to the best MCP server and LLM, scored on 132+ real benchmark executions.

    de grossiweb · Servidor MCP

    Listado em: Official MCP Registry · Descreve quase a mesma tarefa

  • FastMetal

    Run and compare LLMs, generate images and video, with the real yen cost returned per call.

    de fastmetal.ai · Servidor MCP

    Listado em: Official MCP Registry · Descreve quase a mesma tarefa

  • Local AI MCP

    Run, fit, and route work to local LLMs (Ollama, LM Studio, llama.cpp, MLX, vLLM, and more).

    de TMHSDigital · Servidor MCP

    Listado em: Official MCP Registry · Descreve quase a mesma tarefa

  • Hugging Face

    Connect to Hugging Face Hub and thousands of Gradio AI Applications

    de huggingface.co · Servidor MCP

    Listado em: Official MCP Registry · Descreve quase a mesma tarefa

  • ai-infra-auto-driven-skills

    LLM serving benchmarks, SGLang model Day-0 support, profiling, code review, prod incident triage, PR-history dossiers, and SGLang explainer videos.

    de BBuf · Pacote de plugins

    Listado em: Community GitHub marketplaces · Descreve quase a mesma tarefa

  • ollama-handoff io.github.Michael-WhiteCapData/ollama-handoff

    Offload cheap work from your AI agent to a local Ollama model, at zero cloud cost.

    de Michael-WhiteCapData · Servidor MCP

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  • llmtest-mcp io.github.tjacquesson/llmtest-mcp

    Benchmark AI models on real prompts. Find cheaper, faster alternatives across 340+ models.

    de tjacquesson · Servidor MCP

    Listado em: Official MCP Registry · Descreve quase a mesma tarefa

  • Grandet

    Cheapest API for any model across official, inference and relay providers; find free credits

    de hanzohanzhe · Servidor MCP

    Listado em: Official MCP Registry · Descreve quase a mesma tarefa

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A mesma pergunta feita a cada marketplace separadamente: existe lá um equivalente deste plugin?

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  • together-ai-skills

    A collection of skills that teach coding agents how to use the Together AI platform, including chat completions, image generation, video, audio, embeddings, fine-tuning, batch…

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  • NVIDIA Skills

    Find the right NVIDIA skill for GPU acceleration, CUDA, AI agents, data loading, training, inference, robotics, Physical AI, Omniverse, simulation, and other NVIDIA-powered…

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  • llm-gateway

    Multi-LLM orchestration MCP server. Delegate tasks to Claude Code, Codex, and Gemini CLIs with session management, retry logic, async job orchestration, and token optimization.

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  • huggingface-skills

    Build, train, evaluate, and use open source AI models, datasets, and spaces.

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    Skills for working with Langfuse, the open-source LLM engineering platform for tracing, prompt management, and evaluation.

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    Skills for NVIDIAs ecosystem spans GPU acceleration, CUDA, AI agents, inference, robotics, Physical AI, Omniverse, and simulation. This plugin helps you understand the pieces…

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  • unsloth

    Install, operate, and troubleshoot Unsloth Core, Studio, and Desktop for local inference and model training. Use for Unsloth environment setup, LoRA/QLoRA supervised fine-tuning…

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  • litellm

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  • canvas-apps

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  • advanced-security

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  • Orchestrate

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  • Cursor SDK

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    de grossiweb · Servidor MCP

    Listado em: Official MCP Registry · Descreve quase a mesma tarefa

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  • local-delegate io.github.ZahiriNatZuke/local-delegate

    Delegate mechanical text tasks to a local OpenAI-compatible LLM to save Claude quota.

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  • mcp-openai io.github.AceDataCloud/mcp-openai

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  • llm-checker

    Intelligent CLI tool with AI-powered model selection that analyzes your hardware and recommends optimal LLM models for your system

    de signerless · Servidor MCP

    Listado em: npm registry (MCP servers) · Descreve quase a mesma tarefa

  • rubber-duck io.github.nesquikm/rubber-duck

    Bridge to multiple LLMs and CLI agents: councils, debates, voting, and more

    de nesquikm · Servidor MCP

    Listado em: Official MCP Registry, npm registry (MCP servers) · Descreve quase a mesma tarefa

  • lm io.github.houtini-ai/lm

    Connect Claude to any OpenAI-compatible LLM endpoint and offload routine work to a local model.

    de houtini-ai · Servidor MCP

    Listado em: Official MCP Registry, npm registry (MCP servers) · Descreve quase a mesma tarefa

  • Nodegrove VRAM: can I run it?

    Can this LLM run on my GPU? VRAM, speed ceiling and what fits instead, for any model and GPU.

    de nodegrove.io · Servidor MCP

    Listado em: Official MCP Registry, npm registry (MCP servers) · Descreve quase a mesma tarefa

  • Muggle Works

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    de multiplex-ai · Servidor MCP

    Listado em: Official MCP Registry, npm registry (MCP servers) · Descreve quase a mesma tarefa

Encontrados pelo significado, não por código ou repositório em comum: plugins semelhantes continuam sendo produtos distintos, e isto não é uma avaliação nem uma recomendação.

Quer esta marca no seu plugin em nosso catálogo?

Prove que o mantém com um arquivo no repositório, um arquivo no seu domínio ou um registro DNS, e você poderá mostrar esta marca na ficha, com banners ao vivo para o seu site e o README. Como funciona a verificação

Você também recebe alertas quando um marketplace o publica, o remove, muda a marca de verificado ou o que ele pede, e o endpoint remoto passa a ser monitorado como um serviço web.

Dados de Official MCP Registry. Os números vêm das nossas próprias passagens regulares pelos marketplaces, última leitura em . Não publicamos dados de contato dos editores de plugins.

De onde vêm os dados: como o catálogo é montado