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Forecast time series in CSV files: deterministic skforecast workflows and the script that ran.
skforecast-ai is an MCP server entry in ChatHome Skills, sourced from Official MCP Registry and scored 78/100. As a Model Context Protocol server, it exposes tools that MCP-compatible LLM clients such as Claude, Cursor, and Copilot can call directly, extending an agent's reach beyond its built-in capabilities. ChatHome Skills discovered this entry through its daily ingest of official registries and GitHub discovery queries, and re-verifies repository facts, freshness signals, and install metadata on every run. The quality score weighs official-registry presence, a working install command, license clarity, GitHub star trajectory, and repository freshness — the full formula is on the Sources page. The install command above is ready to copy. Review the last-pushed date and repository status before adding skforecast-ai to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.
uvx skforecast-ai-mcp==0.4.2Review the upstream source before running this command.
{
"_meta": {
"io.modelcontextprotocol.registry/official": {
"status": "active",
"isLatest": true,
"updatedAt": "2026-10-12T17:23:08.667678Z",
"publishedAt": "2026-10-12T17:23:08.667678Z",
"statusChangedAt": "2026-10-12T17:23:08.667678Z"
}
},
"server": {
"name": "io.github.skforecast/skforecast-ai",
"title": "skforecast-ai",
"$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
"version": "0.4.2",
"packages": [
{
"version": "0.4.2",
"transport": {
"type": "stdio"
},
"identifier": "skforecast-ai-mcp",
"runtimeHint": "uvx",
"registryType": "pypi",
"packageArguments": [
{
"name": "--allow-dir",
"type": "named",
"format": "filepath",
"isRequired": true,
"description": "Absolute path of the directory the server may read CSV files from. Give the narrowest one that holds your data."
}
]
}
],
"repository": {
"url": "https://github.com/skforecast/skforecast-ai",
"source": "github"
},
"websiteUrl": "https://ai.skforecast.org/stable/user-guides/mcp-server.html",
"description": "Forecast time series in CSV files: deterministic skforecast workflows and the script that ran."
}
}