skforecast-ai-mcp
The MCP server of skforecast-ai: deterministic time series forecasting as tools for coding agents (Claude Code, Cursor, VS Code, Codex, Claude Desktop and other MCP clients).
The agent brings the language model and calls skforecast-ai as tools: profile a CSV file, plan a forecaster, backtest it, compare candidates and forecast. Every decision comes from rule-based code, every result comes with the script that produced it, and responses never carry rows of your data.
Usage
The server runs over stdio and needs one directory, --allow-dir: it only reads CSV files inside it. With uv:
uvx skforecast-ai-mcp --allow-dir /absolute/path/to/project
As the entry of an MCP client:
{
"mcpServers": {
"skforecast-ai": {
"command": "uvx",
"args": ["skforecast-ai-mcp", "--allow-dir", "/absolute/path/to/project"]
}
}
}
The setup of each client, the tools, every option and what the server does with your data are in MCP server for coding agents.
What this package is
A launcher with no logic of its own. It installs skforecast-ai[mcp] at the same version and runs skforecast-ai mcp with the arguments it receives, so these two commands start the same server:
uvx skforecast-ai-mcp --allow-dir /absolute/path/to/project
uvx --from "skforecast-ai[mcp]" skforecast-ai mcp --allow-dir /absolute/path/to/project
It exists because the MCP registry names a package, not one of its extras.
License
Apache-2.0, as skforecast-ai.
Metadata
Release files for skforecast-ai-mcp 0.4.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| skforecast_ai_mcp-0.4.1.tar.gz | 6.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| skforecast_ai_mcp-0.4.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 13.8 kB
Release files / skforecast_ai_mcp-0.4.1.tar.gz
| Download URL | skforecast_ai_mcp-0.4.1.tar.gz |
|---|---|
| Size | 6.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.13.13
|
Release files / skforecast_ai_mcp-0.4.1-py3-none-any.whl
| Download URL | skforecast_ai_mcp-0.4.1-py3-none-any.whl |
|---|---|
| Size | 7.1 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.13.13
|