Cyntrisec MCP Server
Historical AWS analysis CLI; not a current Cyntrisec product.
993 servers
Historical AWS analysis CLI; not a current Cyntrisec product.
Verified cloud cost forecasting for AI agents. AWS, GCP, Azure pricing matrix.
Operate a k3s / Kubernetes cluster from your AI agent — safe-by-default MCP server.
An MCP (Model Context Protocol) server that brings powerful AWS FinOps capabilities directly into your AI assistant. Analyze cloud costs, audit for waste, and get budget insights using natural language, all while keeping your credentials secure on your local machine.
MCP Server for monitoring your Azure Functions apps
MCP server for LakeXpress — automated database-to-cloud data pipeline as Parquet
Generate more accurate Terraform and automate workflows for HCP Terraform and Terraform Enterprise
MCP server for LocalStack AWS services, enabling AI agents to interact with local AWS infra.
CLI for exploring AWS EC2 Spot inventory. Inspect AWS Spot instance types, saving, price, and interruption frequency.
MCP (Model Context Protocol) server for managing Servers.com dedicated server infrastructure.
Storacha MCP storage server - self-sovereign data for your AI applications.
The MCP server for Azure DevOps, bringing the power of Azure DevOps directly to your agents.
🔥 Model Context Protocol (MCP) server for Firebase.
MCP server to deploy apps to Cloud Run
Model Context Protocol (MCP) server that enables CRUD operations on a WebDAV endpoint with basic authentication.
Enterprise SAP OData to MCP Server with AI capabilities and Cloud Foundry integration
Node.js/TypeScript MCP server for AWS Single Sign-On (SSO). Enables AI systems (LLMs) with tools to initiate SSO login (device auth flow), list accounts/roles, and securely execute AWS CLI commands using temporary credentials. Streamlines AI interaction with AWS resources.
Cloudflare Workers MCP server: data-transform
Python MCP server for AWS CLI inspection and operations
MCP server for on-premises Azure DevOps Server (TFS) with TFVC support - shelvesets, changesets, Work Items, Git, Pipelines, Wiki for AI assistants.