Python time series forecasting assistant built on skforecast: deterministic decisions, the script that ran, an optional LLM that explains them, and an MCP server for AI agents.
接入配置
选择客户端，复制配置，再按项目文档补齐环境变量。
claude mcp add skforecast-ai -- uvx skforecast-ai-mcp --allow-dir '<ALLOW_DIR>'~/.codex/config.toml
[mcp_servers.skforecast-ai]
command = "uvx"
args = ["skforecast-ai-mcp", "--allow-dir", "<ALLOW_DIR>"]
# codex mcp add skforecast-ai -- uvx skforecast-ai-mcp --allow-dir '<ALLOW_DIR>'~/.cursor/mcp.json
{
"mcpServers": {
"skforecast-ai": {
"command": "uvx",
"args": [
"skforecast-ai-mcp",
"--allow-dir",
"<ALLOW_DIR>"
]
}
}
}.vscode/mcp.json
{
"servers": {
"skforecast-ai": {
"type": "stdio",
"command": "uvx",
"args": [
"skforecast-ai-mcp",
"--allow-dir",
"<ALLOW_DIR>"
]
}
}
}~/.gemini/settings.json
{
"mcpServers": {
"skforecast-ai": {
"command": "uvx",
"args": [
"skforecast-ai-mcp",
"--allow-dir",
"<ALLOW_DIR>"
]
}
}
}claude_desktop_config.json
{
"mcpServers": {
"skforecast-ai": {
"command": "uvx",
"args": [
"skforecast-ai-mcp",
"--allow-dir",
"<ALLOW_DIR>"
]
}
}
}.trae/mcp.json
{
"mcpServers": {
"skforecast-ai": {
"command": "uvx",
"args": [
"skforecast-ai-mcp",
"--allow-dir",
"<ALLOW_DIR>"
]
}
}
}