Discover our curated collection of MCP servers for cloud infrastructure. Browse 1506 servers and find the perfect MCPs for your needs.
Enables Large Language Models to inspect BigQuery database schemas and execute queries.
Enables Large Language Models to execute AWS Lambda functions as tools via Anthropic's Model Control Protocol (MCP) without code modifications.
Dynamically creates and manages Model Context Protocol (MCP) servers as child processes, enabling a flexible MCP ecosystem.
Enables AI agents to interact with the Terraform Registry API for provider, resource, and module information.
Demonstrates how to enhance ChatBot applications using Amazon Bedrock with the Model Context Protocol (MCP) to enable seamless integration with external systems and data sources.
Manages Alibaba Cloud resources through automated operations and pre-built tools.
Manages code snippets with AI-powered features using Azure Functions, OpenAI, and Cosmos DB, and exposes them as Model Context Protocol (MCP) tools for clients like GitHub Copilot.
Provides tools for accessing and interacting with Alibaba Cloud's observability products like SLS and ARMS.
Manages DigitalOcean resources and performs actions using the DigitalOcean API.
Manage Hetzner Cloud resources through structured functions using a Model Context Protocol (MCP) server.
Enables database introspection, management, and interaction with self-hosted Supabase instances from development environments using the Model Context Protocol.
Provides a Model Context Protocol (MCP) server offering a suite of tools for interacting with Google Cloud's Vertex AI Gemini models, focusing on coding assistance and query answering.
Deploys a custom remote Model Context Protocol (MCP) server to the cloud using Azure Functions with Python.
Enhances Proxmox virtualization management with complete OpenAPI integration and advanced VM lifecycle control.
Enables AI assistants to interact with and manage Azure Kubernetes Service (AKS) clusters.
Provides example implementations for building agentic AI solutions with AWS, utilizing the Model Context Protocol.
Transforms SAP S/4HANA and ECC OData services into dynamic conversational AI interfaces by exposing them as MCP tools.
Provides a command-line interface for managing Tiger Cloud database services and integrates a Model Context Protocol server to assist AI agents in generating production-ready Postgres code.
Connect AI agents to Databricks for enterprise data access and developer automation.
Serves as a powerful AI agent and IoT platform core, providing backend services for smart hardware and intelligent applications.
Scroll for more results...