Cloud Infrastructure MCP 服务器

BigQuery

Enables Large Language Models to inspect BigQuery database schemas and execute queries.

MCP2Lambda

Enables Large Language Models to execute AWS Lambda functions as tools via Anthropic's Model Control Protocol (MCP) without code modifications.

AWS Cost Explorer

Enables analysis and visualization of AWS cloud spending data using Anthropic's Claude model as an interactive interface.

Create Server

Dynamically creates and manages Model Context Protocol (MCP) servers as child processes, enabling a flexible MCP ecosystem.

Terraform Registry

Enables AI agents to interact with the Terraform Registry API for provider, resource, and module information.

Demo Mcp On Amazon Bedrock

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.

Alibaba CloudOps

Manages Alibaba Cloud resources through automated operations and pre-built tools.

Snippy

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.

Alibaba Cloud Observability

Provides tools for accessing and interacting with Alibaba Cloud's observability products like SLS and ARMS.

DigitalOcean Integration

Manages DigitalOcean resources and performs actions using the DigitalOcean API.

Hetzner Cloud

Manage Hetzner Cloud resources through structured functions using a Model Context Protocol (MCP) server.

Self-Hosted Supabase

Enables database introspection, management, and interaction with self-hosted Supabase instances from development environments using the Model Context Protocol.

Remote Functions

Deploys a custom remote server to the cloud using Azure Functions for use with the Model Context Protocol.

Remote Functions

Deploys a custom remote Model Context Protocol (MCP) server to the cloud using Azure Functions with Python.

AKS

Enables AI assistants to interact with and manage Azure Kubernetes Service (AKS) clusters.

Agentic AI Demos

Provides example implementations for building agentic AI solutions with AWS, utilizing the Model Context Protocol.

Google Drive

Provides secure integration with Google Drive, Docs, Sheets, and Slides, enabling MCP clients to manage files through a standardized interface.

SAP OData for BTP

Transforms SAP S/4HANA and ECC OData services into dynamic conversational AI interfaces by exposing them as MCP tools.

Tiger

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.

IntelliConnect

Serves as a powerful AI agent and IoT platform core, providing backend services for smart hardware and intelligent applications.