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Simplifies the creation of serverless Model Context Protocol (MCP) tools using AWS Lambda and Streamable HTTP.
Enables cloud-based AI services to access local Stdio-based MCP servers via HTTP/HTTPS requests.
Empowers AI assistants to securely execute code in blazing-fast, isolated cloud containers across multiple programming languages.
Integrates with Azure AI Foundry to connect to existing Azure AI Agents, leveraging models and knowledge tools.
Enables querying and managing Microsoft 365 tenants using natural language and AI through the Microsoft Graph API.
Provides an open-source, self-hosted AI workspace for developing and deploying intelligent, UI-rich AI agents that integrate with internal systems.
Automates browser testing and integrates with Cloudflare Workers and Browser Rendering.
Enables AI assistants to interact with and manage Google Cloud Platform resources using natural language.
Manage Proxmox hypervisors through a Model Context Protocol server, providing a clean interface for nodes, VMs, and containers.
Extends the capabilities of MCP-enabled LLM AI applications with various servers implemented in Java using the Quarkus framework.
Manage AWS infrastructure using natural language commands through an intelligent AI-powered system.
Securely executes Kubernetes commands from AI assistants like Claude by acting as a Model Context Protocol (MCP) server.
Enables AI assistants to execute AWS CLI commands in a secure, containerized environment using the Model Context Protocol (MCP).
Connect AWS FinOps capabilities to an AI assistant for cloud cost analysis, waste auditing, and budget insights using natural language.
Explore AWS EC2 Spot instance types, savings, prices, and interruption frequencies for optimal cloud resource selection.
Provides implementations for interacting with Alibaba Cloud Tablestore.
Enables interaction with the 1Panel platform via the Model Context Protocol (MCP).
Provides AI assistants access to AWS CloudWatch Logs for analysis, searching, and correlation.
Simplifies Kubernetes operations by providing an SDK-level abstraction of kubectl and client-go, offering easy resource management and MCP server capabilities.
Enables Large Language Models to securely query and analyze BigQuery datasets through a standardized Model Context Protocol interface.
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