Cloud Infrastructure Servidores MCP

Memora

Provides IPFS-secured, verifiable, and sovereign storage for AI agents.

Cloudflare Remote Server

Deploys an unauthenticated Model Context Protocol server on Cloudflare Workers for remote AI agent interaction.

Cloudinary

Exposes Cloudinary Upload & Admin API methods as tools for AI assistants.

Amazon Q Python Servers

Provides sample Python servers for extending AI assistant capabilities via the Model Context Protocol.

Timeserver

Deploys a Model Context Protocol (MCP) server on Cloudflare Workers, enabling external AI agents and tools to securely access integrated functionalities.

Harvester

Enables AI assistants to interact with and manage Harvester HCI clusters via natural language.

Azure Table by CData

Enables querying of live Azure Table data from Claude Desktop using CData JDBC drivers through a Model Context Protocol (MCP) interface.

Azure Analysis Services by CData

Enables querying of live Azure Analysis Services data from LLMs like Claude Desktop via a read-only Model Context Protocol (MCP) server.

Xava Labs Template

Provides a robust template for developing Model Context Protocol (MCP) servers compatible with the Xava Labs TypeScript Agent Framework.

Devops Nginx Installation Simulation

Simulates manual, MCP-automated, and A2A-agent-driven approaches to Nginx server installation for DevOps workflow analysis.

Databricks

Enables large language models to interact with Databricks clusters, jobs, notebooks, and SQL functionalities through the Model Completion Protocol.

ClickHouse OpenAPI

Generates a Multi-Agent Conversation Protocol (MCP) server for the ClickHouse Cloud OpenAPI specification.

Columbia

Provides deployment infrastructure and server implementations for Columbia's Model Context Protocol (MCP) servers.

Taboola

Provides a flexible server to fetch recommendations from the Taboola API.

Docker

Exposes Docker and Docker Swarm commands as Model Context Protocol (MCP) tools.

Mcsmcp

Deploys and tests Model Context Protocol (MCP) servers with Microsoft Copilot Studio for enhanced AI integration.

Daisy

Serves Google Cloud Datastore with simple query and management capabilities via the Model Context Protocol (MCP).

RunPod

Facilitates interaction with the RunPod REST API via Claude or other MCP-compatible clients.

Azure Functions Server

Provides a quickstart template for building and deploying secure, custom remote servers to the cloud using Azure Functions.

Bedrock Agent

Integrates AWS Bedrock models with the Model Context Protocol, offering a full-featured web interface for interactive language model interactions.