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Cloudera AI Agent Studio MCP Server

Cloudera AI Agent Studio MCP Server

Local
github.com/jasonmeverettAI & Agents2Updated 78w ago

About Cloudera AI Agent Studio MCP Server

Cloudera AI Agent Studio MCP Server connects MCP-aware clients to Agent Studio so teams can inspect and assemble workflows. Its tools cover workflow metadata, conversational setup, and agent management.

Key features

  1. 01List workflow IDs and names
  2. 02Retrieve workflow metadata
  3. 03Create blank workflows
  4. 04Enable conversational tasks
  5. 05Add manager and specialist agents

Use cases

  1. 01Browse existing Agent Studio workflows
  2. 02Inspect tasks and process settings
  3. 03Scaffold a new workflow
  4. 04Build delegated agent workflows

MCP support

Exposes Cloudera AI Agent Studio workflow operations as tools for MCP clients, including listing, inspecting, creating, and modifying workflows.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

No install method listed yet

We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.

Repository

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

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

ToolDescriptionTypical Usage
list_current_workflows()Returns every workflow’s ID and namePopulate a UI drop-down of existing projects
get_workflow_information(id)Fetch full JSON metadata for one workflowInspect tasks, agents, and process settings
create_workflow(name, description)Spin up a brand-new blank workflowAutomate project scaffolding
make_workflow_conversational(workflow_id)Adds a Conversational Task and flips is_conversational to trueTurn 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 supervisorHierarchical / delegated workflows
add_agent_to_workflow(workflow_id, …)Adds any number of additional agents to a workflowExpand the crew with domain specialists

🖥 Integrating with Claude Desktop

Add the following block to your claude_desktop_config.json:

{
  "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"
      }
    }
  }
}

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.