MCP Server for driving Cloudera AI's Agent Studio
2 stars
Python
Updated Apr 28, 2025
Documentation
Cloudera AI Agent Studio MCP Server
Agent Studio MCP Server is a lightweight Model Context Protocol (MCP) bridge that exposes your Agent Studio instance as a set of callable tools.
It lets Claude (or any other MCP-aware client) list, inspect, and build Agent Studio workflows on the fly.
✨ What it can do
| Tool | Description | Typical Usage |
|---|---|---|
list_current_workflows() | Returns every workflow’s ID and name | Populate a UI drop-down of existing projects |
get_workflow_information(id) | Fetch full JSON metadata for one workflow | Inspect tasks, agents, and process settings |
create_workflow(name, description) | Spin up a brand-new blank workflow | Automate project scaffolding |
make_workflow_conversational(workflow_id) | Adds a *Conversational Task* and flips is_conversational to true | Turn a static workflow into a chat-first experience |
add_manager_agent_to_workflow(workflow_id, …) | Creates a manager agent and wires it in as the workflow’s supervisor | Hierarchical / delegated workflows |
add_agent_to_workflow(workflow_id, …) | Adds any number of additional agents to a workflow | Expand the crew with domain specialists |
🖥 Integrating with Claude Desktop
Add the following block to your claude_desktop_config.json:
code
{
"mcpServers": {
"agent-studio": {
"command": "uv",
"args": [
"--directory",
"/path/to/cloudera-ai-agent-studio-mcp",
"run",
"serve.py"
],
"env": {
"CDSW_APIV2_KEY": "YOUR-TOKEN-HERE",
"AGENT_STUDIO_DOMAIN": "https://your-studio.CDSW_DOMAIN.cldr.work"
}
}
}
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