Local AI MCP
Run, fit, and route work to local LLMs (Ollama, LM Studio, llama.cpp, MLX, vLLM, and more).
Servidor MCP · de TMHSDigital
Resumo
Local AI MCP é um servidor MCP publicado por TMHSDigital. Marketplaces que lemos e que o listam: 1 (Official MCP Registry). A última mudança que registramos foi em 2026-11-03. Conforme nossa passagem pelos marketplaces em 2026-11-13.
O que pede
- Roda na sua máquina
- Segredos: 3
- Configurações: 17
Exige: MOONSHOT_API_KEY (secreta), OPENAI_COMPAT_API_KEY (secreta), VLLM_API_KEY (secreta)
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
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 npm
Gerado a partir do que Official MCP Registry declara.
claude mcp add --env "MOONSHOT_API_KEY=<YOUR_MOONSHOT_API_KEY>" --env "OPENAI_COMPAT_API_KEY=<YOUR_OPENAI_COMPAT_API_KEY>" --env "VLLM_API_KEY=<YOUR_VLLM_API_KEY>" --transport stdio local-ai-mcp -- npx -y @tmhs/local-ai-mcp[mcp_servers.local-ai-mcp]
command = "npx"
args = ["-y", "@tmhs/local-ai-mcp"]
[mcp_servers.local-ai-mcp.env]
MOONSHOT_API_KEY = "<YOUR_MOONSHOT_API_KEY>"
OPENAI_COMPAT_API_KEY = "<YOUR_OPENAI_COMPAT_API_KEY>"
VLLM_API_KEY = "<YOUR_VLLM_API_KEY>"{
"mcpServers": {
"local-ai-mcp": {
"command": "npx",
"args": [
"-y",
"@tmhs/local-ai-mcp"
],
"env": {
"MOONSHOT_API_KEY": "<YOUR_MOONSHOT_API_KEY>",
"OPENAI_COMPAT_API_KEY": "<YOUR_OPENAI_COMPAT_API_KEY>",
"VLLM_API_KEY": "<YOUR_VLLM_API_KEY>"
}
}
}
}Substitua os valores entre sinais de menor e maior pelos seus. Mostramos os nomes das configurações, nunca valores.
Configurações opcionais que também indica: DOCKER_MODEL_RUNNER_HOST, FOUNDRY_LOCAL_HOST, LLAMACPP_HOST, LMSTUDIO_HOST, LOCAL_AI_ALLOW_HOSTED_FALLBACK, LOCAL_AI_BENCHMARK_CACHE, LOCAL_AI_DISABLE, LOCAL_AI_DISABLE_NETWORK_SEARCH, LOCAL_AI_PROVIDERS, MLX_HOST, MOONSHOT_HOST, OLLAMA_HOST, OPENAI_COMPAT_HOST, VLLM_HOST.
Onde está publicado
| Marketplace | Status | Versão | Números | Verificado | Visto pela primeira vez |
|---|---|---|---|---|---|
| Official MCP Registry (Abrir o registro) | Listado | 0.6.1 | Forks (GitHub): 0 Estrelas (GitHub): 0 |
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
- Official MCP Registry: lançou a versão 0.6.1 (antes 0.6.0)
- Passou a ser um produto que acompanhamos
- 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.
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lm io.github.houtini-ai/lm
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Call your local Ollama or vLLM model over MCP with schema-validated JSON output
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ollama-handoff io.github.Michael-WhiteCapData/ollama-handoff
Offload cheap work from your AI agent to a local Ollama model, at zero cloud cost.
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Let a planning agent hand bounded language work to a local Ollama model.
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Wraps local Ollama models so bulk generation runs on your own hardware, not a paid API.
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qsp-mcp io.github.qso-graph/qsp-mcp
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MCP Client for Ollama - A client for connecting to Model Context Protocol servers using Ollama
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MCP server providing access to 300+ AI models via OpenRouter
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rubber-duck io.github.nesquikm/rubber-duck
Bridge to multiple LLMs and CLI agents: councils, debates, voting, and more
-
llmtest-mcp io.github.tjacquesson/llmtest-mcp
Benchmark AI models on real prompts. Find cheaper, faster alternatives across 340+ models.
Plugins semelhantes por marketplace
A mesma pergunta feita a cada marketplace separadamente: existe lá um equivalente deste plugin?
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Agent Skills for Together AI platform — inference, training, embeddings, audio, video, images, function calling, and infrastructure. Covers serverless chat completions…
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Build, train, evaluate, and use open source AI models, datasets, and spaces.
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Build, train, and deploy AI models with deep AWS AI/ML expertise brought directly into your coding assistants, covering the surface area of Amazon SageMaker AI.
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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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DataRobot skills for AI/ML workflows — model training, deployment, predictions, feature engineering, monitoring, explainability, data preparation, App Framework CI/CD, and…
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Evaluate Codex skills and plugins from chat with a beginner-friendly start command, local-first reports, token budget explanations, and guided benchmarking.
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comfyui-mcp io.github.artokun/comfyui-mcp
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Run a lightweight, role-separated AI development team with flexible tools, developer-selected models, proportionate planning, and optional QA.
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Iterative self-referential AI loops using the Ralph Wiggum technique.
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Give your AI agents trusted access to the full Postman platform.
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Bridges multiple AI models and CLIs, enabling orchestrated workflows across Claude Code, Gemini CLI, Codex CLI, and other AI development tools.
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lm io.github.houtini-ai/lm
Connect Claude to any OpenAI-compatible LLM endpoint and offload routine work to a local model.
-
Call your local Ollama or vLLM model over MCP with schema-validated JSON output
-
ollama-handoff io.github.Michael-WhiteCapData/ollama-handoff
Offload cheap work from your AI agent to a local Ollama model, at zero cloud cost.
-
Let a planning agent hand bounded language work to a local Ollama model.
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Wraps local Ollama models so bulk generation runs on your own hardware, not a paid API.
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mcp-openai io.github.AceDataCloud/mcp-openai
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offline-mcp io.github.gabrielmahia/offline-mcp
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local-delegate io.github.ZahiriNatZuke/local-delegate
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lm io.github.houtini-ai/lm
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rubber-duck io.github.nesquikm/rubber-duck
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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.