A standalone MCP (Model Context Protocol) server for interacting with Cloudera Machine Learning (CML).
Most developer tooling work still happens through a UI a human drives. Cloudera Cml MCP server moves it into the conversation instead. A standalone MCP (Model Context Protocol) server for interacting with Cloudera Machine Learning (CML).
Configuration is passed through the environment: CLOUDERA_ML_HOST, CLOUDERA_ML_API_KEY, CML_API_TOKEN, CML_BASE_URL, CML_CERT_FILE. Treat anything key-shaped as a real credential — scope it to the minimum the server needs, and rotate it if it ever lands in a shared config.
uvx on PyPI is all you need. Most clients run it directly, so configuration is a few lines and a restart.
Plenty of developer tooling servers cover similar ground. The differences that matter in practice are scope of access and how much setup stands between you and a working tool call. It is maintained by yw449; worth a glance at recent repository activity before you build anything load-bearing on it.
SyncDev reviews every entry in this directory against the project's own documentation before publishing, and revisits them as servers change.
{
"mcpServers": {
"cloudera-cml": {
"command": "uvx",
"args": ["uvx"],
"env": {
"CLOUDERA_ML_HOST": "your-value",
"CLOUDERA_ML_API_KEY": "your-value",
"CML_API_TOKEN": "your-value",
"CML_BASE_URL": "your-value",
"CML_CERT_FILE": "your-value"
}
}
}
}Add to claude_desktop_config.json, then restart Claude Desktop.
| Variable | Description | Required |
|---|---|---|
| CLOUDERA_ML_HOST | Endpoint or connection string the server talks to. | Optional |
| CLOUDERA_ML_API_KEY | Credential the server authenticates with. | Yes |
| CML_API_TOKEN | Credential the server authenticates with. | Yes |
| CML_BASE_URL | Endpoint or connection string the server talks to. | Yes |
| CML_CERT_FILE | Configuration value read at startup. | Optional |
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