Neo — AI/ML Engineering
AI/ML engineering MCP server for Neo — submit tasks, track execution, and retrieve outputs.
Servidor MCP · de NeoAIResearch
Resumen
Neo — AI/ML Engineering es un servidor MCP publicado por NeoAIResearch. Marketplaces que leemos y que lo publican: 1 (Official MCP Registry). Lo vimos por primera vez el 2026-10-11 y desde entonces no hemos registrado cambios. Según nuestra pasada por los marketplaces del 2026-10-13.
Qué pide
- Se ejecuta en tu equipo
- Secretos: 1
- Ajustes: 3
Requiere: NEO_SECRET_KEY (secreta)
Lo que declara, pide y ejecuta, completo
Instale solo plugins de desarrolladores en los que confíe. Mostramos lo que publican los marketplaces y no probamos plugins.
Paquete
PyPI neo-mcp (neo-mcp en PyPI)
- Descargas de PyPI por semana: 90 (2026-10-13)
- Descargas de PyPI por mes: 1 024 (2026-10-13)
- Última versión en PyPI: 0.5.16, publicada el 2026-09-15
Sin vulnerabilidades conocidas en OSV para 0.5.5 (comprobado el 2026-10-13)
Sin vulnerabilidades conocidas en OSV para 0.5.15 (comprobado el 2026-10-13)
Los datos de PyPI proceden de pypi.org y las descargas de PyPI de pypistats.org. Cada cifra es del propio registro y nunca se suma a otra. Un registro que no publica una cifra no muestra ninguna: sin cifra no es cero. Los registros de vulnerabilidades proceden de OSV.dev (CC BY 4.0) y solo se refieren a la versión declarada; un listado sin versión declarada no recibe respuesta. No analizamos código.
Funciona con
- Claude Code
- Codex
- Cursor
- VS Code
- Copilot CLI
Según los marketplaces que lo listan y el transporte MCP que declara, tal como lo documenta cada cliente. No probamos plugins.
Conectar
Comandos y configuraciones generados solo a partir de lo que declaran sus marketplaces. No los ejecutamos por usted ni probamos plugins.
Como servidor MCP local: paquete PyPI
Generado a partir de lo que declara Official MCP Registry.
claude mcp add --env "NEO_SECRET_KEY=<YOUR_NEO_SECRET_KEY>" --transport stdio neo-mcp -- uvx neo-mcp[mcp_servers.neo-mcp]
command = "uvx"
args = ["neo-mcp"]
[mcp_servers.neo-mcp.env]
NEO_SECRET_KEY = "<YOUR_NEO_SECRET_KEY>"{
"mcpServers": {
"neo-mcp": {
"command": "uvx",
"args": [
"neo-mcp"
],
"env": {
"NEO_SECRET_KEY": "<YOUR_NEO_SECRET_KEY>"
}
}
}
}Sustituya los valores entre corchetes angulares por los suyos. Mostramos los nombres de los ajustes, nunca valores.
Ajustes opcionales que también indica: NEO_ENVIRONMENT, NEO_WORKSPACE_DIR.
Dónde está publicado
| Marketplace | Estado | Versión | Cifras | Verificado | Visto por primera vez |
|---|---|---|---|---|---|
| Official MCP Registry (Abrir el registro) | Publicado | 0.5.5 | Descargas por mes (PyPI): 1 024 Descargas por semana (PyPI): 90 Forks (GitHub): 1 Estrellas (GitHub): 2 |
Sin marca | |
| Official MCP Registry (Abrir el registro) | Publicado | 0.5.15 | Descargas por mes (PyPI): 1 024 Descargas por semana (PyPI): 90 |
Sin marca |
Cada cifra es del propio marketplace y nunca se suma entre marketplaces. Un marketplace que no publica cifras no muestra ninguna: sin número no es cero.
Qué cambió
Nada ha cambiado en este plugin desde que lo seguimos.
Plugins similares
Productos cuyos propios nombres, descripciones, herramientas y skills son los más cercanos a este por su significado, en todos los marketplaces que leemos. La cercanía se ordena solo dentro de esta lista.
-
Train, track and query models on a running dashAI instance. Read-oriented, no delete tools.
-
Build, run and check agentic workflows from your AI client: approve steps, read tables, see runs.
-
Run fal.ai models, poll the inference queue and read model schemas.
-
Run DeepInfra inference, list models and read account rate limits.
-
MCP server that exposes GraphQL operations as tools for AI models.
-
Create, browse, remix, collaborate on, and run durable AI workflow nodes from MCP hosts.
-
Manage your Mistral platform — models, files, batch jobs, agents and RAG document libraries.
-
Discover, shortlist, compare, cost-model, and live-test 300+ AI models from your editor
-
Discover verified AI inference nodes, get the best node+model per task, pre-price chains.
-
Signed-in OneInfer models, chat, media, Studio movies, music, GPUs, and credits.
Plugins similares por marketplace
La misma pregunta a cada marketplace por separado: ¿hay allí un equivalente de este plugin?
Publicado en Claude Code: claude-plugins-community (5)
-
Find the right NVIDIA skill for GPU acceleration, CUDA, AI agents, data loading, training, inference, robotics, Physical AI, Omniverse, simulation, and other NVIDIA-powered…
-
Claude model selection advisor — recommends optimal model for each task via shell hook. Zero attack surface.
-
DataRobot Agent Skills - Agentic skills for DataRobot enterprise AI and ML workflows. Covers model training, deployment, predictions, feature engineering, monitoring…
-
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…
-
agent-tasks io.github.keshrath/agent-tasks
Pipeline task management for AI agents - stages, dependencies, artifacts, claiming
Publicado en Claude Code: claude-plugins-official (5)
-
DataRobot skills for AI/ML workflows — model training, deployment, predictions, feature engineering, monitoring, explainability, data preparation, App Framework CI/CD, and…
-
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.
-
Find the right NVIDIA skill for GPU acceleration, CUDA, AI agents, data loading, training, inference, robotics, Physical AI, Omniverse, simulation, and other NVIDIA-powered…
-
Skills for tracing, evaluating, and improving AI agents with MLflow. Supports the full agent improvement loop: instrument → trace → evaluate → iterate → validate.
-
Agent Skills for Together AI platform — inference, training, embeddings, audio, video, images, function calling, and infrastructure. Covers serverless chat completions…
Publicado en Claude: knowledge-work-plugins (5)
-
DataRobot skills for AI/ML workflows — model training, deployment, predictions, feature engineering, monitoring, explainability, data preparation, App Framework CI/CD, and…
-
Skills for working with Langfuse, the open-source LLM engineering platform for tracing, prompt management, and evaluation.
-
Build multimodal AI applications with Pixeltable -- tables, computed columns, embedding search, UDFs, tool-calling agents, and 25+ AI provider integrations.
-
AI-first project auditor and re-engineer based on the 9 design principles and 7 design patterns from the TechWolf AI-First Bootcamp
-
Hosted MCP server for AI-assisted Grafana Cloud observability — no local installation required.
Publicado en Codex: openai-curated (openai/plugins) (5)
-
Skills for NVIDIAs ecosystem spans GPU acceleration, CUDA, AI agents, inference, robotics, Physical AI, Omniverse, and simulation. This plugin helps you understand the pieces…
-
Build with OpenAI APIs, Agents SDK, and ChatGPT Apps, and create and save OpenAI API keys from Codex.
-
Evaluate Codex skills and plugins from chat with a beginner-friendly start command, local-first reports, token budget explanations, and guided benchmarking.
-
Comprehensive skill for the entire Temporal lifecycle — developing applications, using the Temporal CLI, running and managing Temporal Server, and working with Temporal Cloud.
-
CrowdStrike Falcon Foundry development skills for building cybersecurity applications on the Falcon platform. Includes UI development, collections, functions, workflows, API…
Publicado en Community GitHub marketplaces (5)
-
DataRobot skills for AI/ML workflows — model training, deployment, predictions, feature engineering, monitoring, explainability, data preparation, App Framework CI/CD, and…
-
Tuning Engines - Governed AI Runtime
Govern model, agent, skill, and MCP workflows with policy, approvals, traces, and usage analytics.
-
Connect Codex to a self-hosted AI gateway with provider-free prompt enhancement and fifteen governed MCP tools.
-
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.
-
Find APIs and MCP servers for AI agents: auth, free tier, MCP endpoint, docs, last-checked date.
Publicado en Copilot CLI: github/awesome-copilot (5)
-
Run a lightweight, role-separated AI development team with flexible tools, developer-selected models, proportionate planning, and optional QA.
-
Task Researcher and Task Planner for intermediate to expert users and large codebases - Brought to you by microsoft/edge-ai
-
Visualizes live session AI-credit usage as a Pac-Man board with pellets, ghosts, fruit milestones, and game-over limits.
-
Safe BLE diagnostics, evidence workflows, and guarded automation for AI agents.
-
See your local Copilot token usage by day, model, and session, and get tips to use it more efficiently.
Publicado en Copilot CLI: github/copilot-plugins (5)
-
Toolkit for building Microsoft 365 Copilot declarative agents — scaffolding, JSON manifest development, and capability configuration.
-
model-apps
Build and deploy Power Apps generative pages for model-driven apps with specialist agents for planning, entity creation, and parallel code generation. Requires PAC CLI >= 2.7.0…
-
workiq
Query Microsoft 365 data with natural language — emails, meetings, documents, Teams messages, and more.
-
Build Power Apps Canvas Apps using the Canvas Authoring MCP server.
-
workiq-productivity
WorkIQ productivity skills powered by the local WorkIQ CLI — read-only insights across email, meetings, calendar, Teams, SharePoint, projects, and people.
Publicado en Cursor: cursor/plugins (5)
-
Fan large tasks out across parallel cloud agents with planners, workers, verifiers, and structured handoffs.
-
Iterative self-referential AI loops using the Ralph Wiggum technique.
-
Incremental transcript-driven memory updates for AGENTS.md using high-signal bullet points only.
-
Build apps, scripts, and automations with the TypeScript SDK.
-
Let Grok Bot reach MCP servers on your private Tailscale network. Sign in to Tailscale to connect your tailnet; Grok Bot joins it as one tagged device and only reaches the hosts…
Publicado en Docker MCP Catalog (5)
-
Read and score Opik traces, experiments, datasets and prompts from your AI assistant.
-
Seamless interaction with Novita AI platform resources.
-
Bridges multiple AI models and CLIs, enabling orchestrated workflows across Claude Code, Gemini CLI, Codex CLI, and other AI development tools.
-
Wayfound’s MCP server allows business users to govern, supervise, and improve AI Agents.
-
Discover and connect to a curated marketplace of MCP servers for extending AI agent capabilities.
Publicado en Official MCP Registry (5)
-
Train, track and query models on a running dashAI instance. Read-oriented, no delete tools.
-
Build, run and check agentic workflows from your AI client: approve steps, read tables, see runs.
-
Run fal.ai models, poll the inference queue and read model schemas.
-
Run DeepInfra inference, list models and read account rate limits.
-
MCP server that exposes GraphQL operations as tools for AI models.
Encontrados por significado, no por código ni repositorio compartidos: los plugins similares siguen siendo productos distintos, y esto no es una reseña ni una recomendación.
¿Es tu plugin?
Añádelo a tus proyectos y demuestra que lo mantienes con un archivo en su repositorio, un archivo en tu dominio o un registro DNS. Recibirás avisos cuando un marketplace lo publique, lo retire, cambie su marca verificada o lo que pide, y su endpoint remoto quedará monitorizado como un servicio web.
Datos de Official MCP Registry. Las cifras proceden de nuestros propios recorridos periódicos por los marketplaces, leída por última vez el . No publicamos datos de contacto de los editores de plugins.