skforecast-ai
Forecast time series in CSV files: deterministic skforecast workflows and the script that ran.
Servidor MCP · de skforecast
Resumen
skforecast-ai es un servidor MCP publicado por skforecast. Marketplaces que leemos y que lo publican: 1 (Official MCP Registry). El último cambio que registramos fue el 2026-10-12. Según nuestra pasada por los marketplaces del 2026-10-13.
Qué pide
- Se ejecuta en tu equipo
Ninguno de los marketplaces que leemos publica sus herramientas ni los ajustes que pide.
Requiere: --allow-dir
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 skforecast-ai-mcp (skforecast-ai-mcp en PyPI)
- Descargas de PyPI por semana: 408 (2026-10-13)
- Descargas de PyPI por mes: 0 (2026-10-13)
- Última versión en PyPI: 0.4.2, publicada el 2026-10-12
Sin vulnerabilidades conocidas en OSV para 0.4.2 (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
Un enlace de un clic abre el cliente, que pide confirmación antes de añadir el servidor.
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 --transport stdio skforecast-ai -- uvx skforecast-ai-mcp --allow-dir "<YOUR_ALLOW_DIR>"[mcp_servers.skforecast-ai]
command = "uvx"
args = ["skforecast-ai-mcp", "--allow-dir", "<YOUR_ALLOW_DIR>"]{
"mcpServers": {
"skforecast-ai": {
"command": "uvx",
"args": [
"skforecast-ai-mcp",
"--allow-dir",
"<YOUR_ALLOW_DIR>"
]
}
}
}Sustituya los valores entre corchetes angulares por los suyos. Mostramos los nombres de los ajustes, nunca valores.
Dónde está publicado
| Marketplace | Estado | Versión | Cifras | Verificado | Visto por primera vez |
|---|---|---|---|---|---|
| Official MCP Registry (Abrir el registro) | Publicado | 0.4.2 | Descargas por mes (PyPI): 0 Descargas por semana (PyPI): 408 Forks (GitHub): 8 Estrellas (GitHub): 51 |
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
- Official MCP Registry: publicó la versión 0.4.2 (antes 0.4.1)
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.
-
Self-hosted MCP server for time-series forecasting and tabular ML via foundation models.
-
AutoTS io.github.winedarksea/AutoTS
Automated time series forecasting with model search, anomaly detection, and event risk analysis
-
Give your AI a research team. Forecast, score, classify, or research every row of a dataset.
-
csv-analytics-mcp io.github.CSOAI-ORG/csv-analytics-mcp
Csv Analytics MCP Server by MEOK AI Labs
-
Predictions over your own data with $p and $why, no model training; says when Aito does not fit.
-
Mini Data Engine Runtime Copilot
MCP runtime copilot for health checks, regressions, explainability, and operational memory.
-
Ephemeris Time-Series Forecasting
Probabilistic time-series forecasts from zero-shot foundation models: routed, single or ensembled.
-
mcp-utils io.github.followtz/mcp-utils
Data processing tools: CSV, cleaning, stats, image, report, save, shell
-
replicate com.mcparmory/replicate
Run AI models, create deployments, and manage predictions via cloud API
-
Train sklearn models (MLP, Random Forest, Linear Regression), export weights to JSON, and generate pure TypeScript inference code with zero npm dependencies. Handles the full…
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)
-
Train sklearn models (MLP, Random Forest, Linear Regression), export weights to JSON, and generate pure TypeScript inference code with zero npm dependencies. Handles the full…
-
DataRobot Agent Skills - Agentic skills for DataRobot enterprise AI and ML workflows. Covers model training, deployment, predictions, feature engineering, monitoring…
-
Guides creation and manipulation of TimeDataModel objects (TimeSeries, TimeSeriesTable) with rich metadata for energy, forecasting, and time series data pipelines.
-
vynn-mcp io.github.beee003/vynn-mcp
Self-improving AI workflows with backtesting, prompt optimization, and scheduling
-
End-to-end data analysis workflow plugin for Claude Code. Covers the full pipeline from EDA to model training - EDA, preprocessing, statistical analysis, feature engineering, and…
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.
-
Skills for tracing, evaluating, and improving AI agents with MLflow. Supports the full agent improvement loop: instrument → trace → evaluate → iterate → validate.
-
Full Domino Data Lab platform support — workspaces, jobs, model deployment, experiment tracking, GenAI tracing, Spark/Ray/Dask, and app deployment for data science teams
-
Build multimodal AI applications with Pixeltable -- tables, computed columns, embedding search, UDFs, tool-calling agents, and 25+ AI provider integrations.
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…
-
Build multimodal AI applications with Pixeltable -- tables, computed columns, embedding search, UDFs, tool-calling agents, and 25+ AI provider integrations.
-
Figma design platform integration. Access design files, extract component information, read design tokens, and translate designs into code. Bridge the gap between design and…
-
MCP server for terminal commands, file operations, and process management
-
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.
-
Answer product and business questions with data
-
Cloudflare platform plugin with curated skills for Workers, Wrangler, and Agents SDK plus the official Cloudflare API MCP server.
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…
-
Exactly explainable classifiers for agents: train, tune, predict, explain on CSV or Excel.
-
Add a predictive feature with Aito where it fits, and say so where it does not: a fit check, a schema from your table, a threshold checked on held-out rows, and the aito MCP…
-
Automated AI research toolkit: hypothesis generation, experiments, and paper writing
-
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.
Publicado en Copilot CLI: github/awesome-copilot (5)
-
Explore and query TimeBase streams, schemas, QQL, symbols, and server status via MCP.
-
Figma design platform integration. Access design files, extract component information, read design tokens, and translate designs into code. Bridge the gap between design and…
-
Complete toolkit for building Model Context Protocol (MCP) servers in TypeScript/Node.js using the official SDK. Includes instructions for best practices, a prompt for generating…
-
Run a lightweight, role-separated AI development team with flexible tools, developer-selected models, proportionate planning, and optional QA.
-
Complete toolkit for building Model Context Protocol (MCP) servers in Go using the official github.com/modelcontextprotocol/go-sdk. Includes instructions for best practices, a…
Publicado en Copilot CLI: github/copilot-plugins (5)
-
Toolkit for building Microsoft 365 Copilot declarative agents — scaffolding, JSON manifest development, and capability configuration.
-
Build Power Apps Canvas Apps using the Canvas Authoring MCP server.
-
mcp-apps
Generate MCP App widgets for MCP tools. Produces self-contained HTML widgets using the MCP Apps protocol.
-
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…
-
Complete bundle: all Microsoft Skills for Fabric for developers and consumers.
Publicado en Cursor: cursor/plugins (5)
-
Fan large tasks out across parallel cloud agents with planners, workers, verifiers, and structured handoffs.
-
Build apps, scripts, and automations with the TypeScript SDK.
-
Iterative self-referential AI loops using the Ralph Wiggum technique.
-
Explore datasets and tables and run SQL queries.
-
Read, write, and append spreadsheet data.
Publicado en Docker MCP Catalog (5)
-
Read and score Opik traces, experiments, datasets and prompts from your AI assistant.
-
Giving Claude ability to run code with E2B via MCP (Model Context Protocol).
-
MCP server providing Prometheus metrics access and PromQL query execution for AI assistants
-
Bridges multiple AI models and CLIs, enabling orchestrated workflows across Claude Code, Gemini CLI, Codex CLI, and other AI development tools.
-
Keboola MCP Server is an open-source bridge between your Keboola project and modern AI tools.
Publicado en Official MCP Registry (5)
-
Self-hosted MCP server for time-series forecasting and tabular ML via foundation models.
-
AutoTS io.github.winedarksea/AutoTS
Automated time series forecasting with model search, anomaly detection, and event risk analysis
-
Give your AI a research team. Forecast, score, classify, or research every row of a dataset.
-
csv-analytics-mcp io.github.CSOAI-ORG/csv-analytics-mcp
Csv Analytics MCP Server by MEOK AI Labs
-
Predictions over your own data with $p and $why, no model training; says when Aito does not fit.
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.
Comparada lado a lado
¿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.