Cloudera Ai Agent Studio Mcp
What is Cloudera Ai Agent Studio Mcp
cloudera-ai-agent-studio-mcp is a lightweight Model Context Protocol (MCP) bridge that exposes your Agent Studio instance as a set of callable tools, allowing MCP-aware clients to interact with Agent Studio workflows dynamically.
Use cases
Use cases include automating project scaffolding, turning static workflows into conversational experiences, and managing complex workflows with multiple agents for specialized tasks.
How to use
To use cloudera-ai-agent-studio-mcp, integrate it with your Claude Desktop by adding a specific configuration block to your claude_desktop_config.json file, specifying the command, arguments, and environment variables needed to run the MCP server.
Key features
Key features include listing current workflows, fetching workflow metadata, creating new workflows, adding conversational tasks, and managing agents within workflows, enabling dynamic and flexible workflow management.
Where to use
cloudera-ai-agent-studio-mcp can be used in fields such as data science, machine learning, and AI development, where dynamic workflow management and integration with various agents are required.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Cloudera Ai Agent Studio Mcp
cloudera-ai-agent-studio-mcp is a lightweight Model Context Protocol (MCP) bridge that exposes your Agent Studio instance as a set of callable tools, allowing MCP-aware clients to interact with Agent Studio workflows dynamically.
Use cases
Use cases include automating project scaffolding, turning static workflows into conversational experiences, and managing complex workflows with multiple agents for specialized tasks.
How to use
To use cloudera-ai-agent-studio-mcp, integrate it with your Claude Desktop by adding a specific configuration block to your claude_desktop_config.json file, specifying the command, arguments, and environment variables needed to run the MCP server.
Key features
Key features include listing current workflows, fetching workflow metadata, creating new workflows, adding conversational tasks, and managing agents within workflows, enabling dynamic and flexible workflow management.
Where to use
cloudera-ai-agent-studio-mcp can be used in fields such as data science, machine learning, and AI development, where dynamic workflow management and integration with various agents are required.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
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:
{ "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" } } } }
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.
