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Cloudera Ai Agent Studio MCP
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Cloudera Ai Agent Studio MCP

Cloudera AI Agent Studio MCP Server is a lightweight model context protocol bridge service that can expose Agent Studio instances as a set of callable tools, supporting dynamic creation and management of workflows.
Artificial intelligence chatbotsDeveloper tools#Workflow Management#AI Agents#Protocol Bridging.Python
2.5 points
11.4K
Open Site

Overview

Content Details

Alternatives

What is Agent Studio MCP Server?

This is a bridge service that connects AI clients such as Claude with Agent Studio, allowing dynamic management and construction of AI workflows through a standardized protocol. It transforms complex workflow configurations into simple API calls, enabling non - technical personnel to operate easily.

How to use MCP Server?

Simply add the server information to the Claude Desktop configuration file, and the AI assistant can automatically discover and use workflow tools. Developers can also integrate directly through the REST API.

Use cases

Suitable for scenarios that require dynamic adjustment of AI workflows, such as rapid prototype development, construction of multi - agent collaboration systems, and orchestration of conversational AI processes.

Main Features

Workflow Discovery
Automatically list all available workflows and their metadata, supporting name search and conditional filtering
Dynamic Workflow Creation
Instantly create a blank workflow template through the API, supporting custom names and descriptions
Conversion to Conversational Mode
Convert a standard workflow to a conversational interaction process with one click
Agent Management
Support adding management agents and professional domain agents to build a hierarchical collaboration system
Advantages
Lightweight design with low resource consumption
Standardized MCP protocol, compatible with multiple AI clients
Dynamically adjust complex workflows without coding
Visualized workflow metadata for easy understanding
Limitations
Requires support from the Cloudera CDSW environment
Initial configuration requires authentication information such as API keys
Advanced workflow customization still requires technical knowledge

How to Use

Get Access Credentials
Obtain the CDSW_APIV2_KEY and Agent Studio domain name from the Cloudera platform
Configure Claude Desktop
Modify the claude_desktop_config.json file and add MCP server information
Verify the Connection
Try to list workflows in Claude to confirm that the service is running normally

Usage Examples

Quickly Build a Customer Service Conversation System
Convert an existing FAQ workflow to conversational mode and add a language understanding agent
Data Analysis Pipeline
Create a workflow that includes data cleaning, analysis, and visualization agents

Frequently Asked Questions

Does MCP Server require additional installation?
How to ensure the security of API keys?
Which clients are supported?

Related Resources

Official Documentation
Complete API reference and architecture description
GitHub Repository
Open - source components and sample code
Quick Start Video
5 - minute configuration demonstration

Installation

Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.

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