# Cloudera ML Model Control Protocol (MCP) This MCP implements a Python-based integration with Cloudera Machine Learning, allowing Claude to interact
Cloudera AI MCP MCP server is a locally run integration for AI assistants that speak the Model Context Protocol. # Cloudera ML Model Control Protocol (MCP) This MCP implements a Python-based integration with Cloudera Machine Learning, allowing Claude to interact with CML services programmatically. ## Features 1. Upload Folders: Upload entire.
You will need 4 environment variables: CLOUDERA_ML_HOST, CLOUDERA_ML_API_KEY, CLOUDERA_ML_PROJECT_ID, PROJECT_ID. The server will not start without them, which is usually why the tools fail to appear on a first run. Keep credentials in your client's env block or a secrets manager rather than in a file you might commit.
Setup follows the usual MCP pattern — install or clone the server, register it in your client's configuration file, restart the client. The configuration blocks on this page cover the common clients.
Among the developer tooling options, the useful question is rarely "what can it do" but "what does it cost you to run" — permissions, credentials, and how much of your context its toolset consumes. It is maintained by adfr; 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-ml-mcp-server": {
"command": "python",
"args": [
"/path/to/MCP_cloudera/server.py"
],
"env": {
"CLOUDERA_ML_HOST": "https://ml-xxxx.cloudera.site",
"CLOUDERA_ML_API_KEY": "your-api-key"
}
}
}
}Configuration as documented by the project. Restart the client after saving.
| 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 |
| CLOUDERA_ML_PROJECT_ID | Configuration value read at startup. | Optional |
| PROJECT_ID | Configuration value read at startup. | Optional |
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