Cloudera AI Agent Studio

GitHub Repo
N/A
Classification
COMMUNITY
Downloads
203(+0 this week)
Released On
Apr 26, 2025

About

Facilitates seamless connectivity between Cloudera AI Agent Studio and third-party applications, allowing for the automated organization and oversight of complex multi-agent processes using the Agent Studio API.


Explore Similar MCP Servers

Official

Apollo GraphQL

Facilitates seamless interaction between AI agents and GraphQL APIs through tool-based access, accommodating local schema files and enabling integration with Apollo GraphOS. Includes functionality for introspection and personalized scalar mapping.

Community

AgentMode

Enhance your coding AI's capabilities by seamlessly linking it to numerous databases, data warehouses, data pipelines, cloud platforms, and various services through a comprehensive server solution.

Community

Google AI Studio

Leveraging advanced capabilities of Google AI Studio/Gemini API, this protocol efficiently handles various types of media such as images, videos, audio, PDFs, and text files. It excels in generating content, conducting analysis, and converting documents with exceptional precision and speed.

Official

Cloudflare AI Gateway

Enhance your AI applications with Cloudflare's AI Gateway for improved monitoring and management. Connect your apps to access valuable usage insights and enhance user experience.

Community

A2A Bridge

Integrates Google's Agent-to-Agent communication standard with MCP to facilitate agent identification, enrollment, communication, and operation coordination by converting protocols between A2A's JSON-RPC messaging and MCP's interface based on tools.

Community

ACP Bridge

Facilitating connectivity between Agent Communication Protocol networks and MCP clients, the Model Context Protocol allows seamless interaction with intricate multi-agent processes. It offers advanced features such as smart agent identification, efficient message routing, and versatile message conversion supporting various execution modes like synchronous, asynchronous, and streaming.

Community

Apache Airflow

Enhance your workflow management with seamless integration to Apache Airflow using a Model Context Protocol (MCP). This protocol enables intuitive control over DAGs, task execution, and resource management directly from your assistant interface.

Community

BLAH (Barely Logical Agent Host)

Discover a collaborative platform for developing, testing, and distributing AI agent utilities. Benefit from a user-friendly graphical interface, virtual simulation features, and decentralized tool exploration functions.

Community

OpenAI Agents

Discover the full potential of OpenAI's agent capabilities for enhancing web search, file exploration, and computer operations. Harnessing specialized agents and a dynamic multi-agent orchestrator, this protocol efficiently manages tasks by coordinating between different agents as needed.

Community

AI Agent Marketplace Index

Discover specialized AI agents efficiently with a comprehensive marketplace index, offering detailed descriptions, performance metrics, and direct website links. Ideal for users seeking tailored solutions for specific tasks.

Community

A2A Bridge

Facilitating connectivity between Claude Desktop and A2A protocol agents, the Model Context Protocol (MCP) enhances communication efficiency by offering agent registration, listing, and calling functionalities.

Community

A2AMCP

Facilitates collaboration among AI agents on common projects using a Redis-based system for instant communication, file protection against concurrent modifications, shared interfaces for defining types, and managing tasks across concurrent coding sessions efficiently.

Community

CrewAI Workflow

Streamline task orchestration and enhance workflow flexibility with a versatile Python server designed to dynamically load CrewAI multi-agent workflows from YAML setups. Seamlessly integrate tools and minimize the need for custom coding with this lightweight solution.

Community

SubspaceDomain

Experience a cutting-edge bridge server designed for macOS, facilitating smooth communication between AI applications. Benefit from Unix socket transport, reliable registration, and efficient connection management to streamline tool execution across diverse models.

Community

Spring AI

Enhance your Spring-based applications with seamless integration of Spring AI components and cutting-edge AI models. Unlock the power of natural language processing, machine learning, and data analysis with the Model Context Protocol (MCP).