cloudera-ai-agent-studio-mcp
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Cloudera AI Agent Studio MCP Server is a lightweight bridge that allows integration with MCP-aware clients to manage and build workflows dynamically.
The Cloudera AI Agent Studio MCP Server acts as a bridge for the Model Context Protocol (MCP), enabling seamless interaction with Agent Studio instances. It allows clients like Claude to list, inspect, and build workflows dynamically. This server facilitates the management of workflows by providing a set of callable tools that can be used to automate and enhance workflow processes. By exposing Agent Studio as a set of tools, it enables the creation of conversational workflows and the addition of agents to existing workflows, thus enhancing the flexibility and scalability of projects.
Features
- Workflow Listing: Allows users to list all current workflows with their IDs and names, useful for UI integration.
- Workflow Inspection: Fetches full JSON metadata for a specific workflow, enabling detailed inspection of tasks and settings.
- Workflow Creation: Enables the creation of new workflows, facilitating project scaffolding and automation.
- Conversational Workflow: Transforms static workflows into chat-first experiences by adding conversational tasks.
- Agent Management: Allows the addition of manager and other agents to workflows, supporting hierarchical and specialized task management.
Tools
list_current_workflows
Returns every workflow’s ID and name.
get_workflow_information
Fetches full JSON metadata for one workflow.
create_workflow
Creates a new blank workflow.
make_workflow_conversational
Adds a Conversational Task to a workflow.
add_manager_agent_to_workflow
Creates a manager agent and assigns it as the workflow’s supervisor.
add_agent_to_workflow
Adds additional agents to a workflow.
