"Building and Using MCP Tools" matching MCP servers:

Generates GCP architecture diagrams, sequence diagrams, flow charts, and class diagrams using Python diagrams DSL via MCP.

Provides a blueprint for building and deploying Python MCP servers on Oracle Cloud Infrastructure, with sample tools for database schema and data retrieval.

Enables building a full backend directly from MCP clients using natural language, including projects, boards, typed columns, data, and REST endpoints with API keys. It also supports deploying frontends and provides a ready-made admin interface for end clients.

Enables building, verifying, previewing, deploying, diagnosing, updating, and rolling back full-stack Micro apps through typed local MCP tools backed by micro-cli.

A set of tools for working with Omilia Cloud Platform that helps manage miniapps, orchestrator apps, and dialog logs through an MCP server.

An MCP server for managing and monitoring Docker, Docker Compose, and Kubernetes environments alongside Azure Application Insights. It enables advanced log filtering, container lifecycle management, and querying of cloud application traces and metrics.

An MCP server that allows searching for and retrieving information about Model Context Protocol servers registered on the MCP Hub.

Enables AI assistants to interact with the aedifion cloud platform for building performance optimization and IoT data management. It provides over 95 tools for monitoring timeseries data, managing project components, and executing building analytics or controls.

Enables interaction with Google Cloud services including billing cost analysis, log querying, and metrics monitoring through natural language commands. Provides comprehensive tools for managing GCP resources, analyzing costs, detecting anomalies, and retrieving operational insights.

Provides tools for discovering, building, deploying, and troubleshooting AWS Deep Learning Containers (DLC) images. Supports multiple frameworks and instance recommendations.

Open-source MCP server for managing Hetzner Cloud infrastructure with two management layers: * Layer 1 — Hetzner Cloud API (35 tools): Server power control, metrics, snapshots, backups, firewalls, DNS zones and records, rescue mode, server rebuild and rescale. Works even when the server OS is unresponsive. * Layer 2 — SSH (25 tools): Service management (systemd), Nginx config and reload,

Enables management of GCP resources and integration with AI development tools via a stateless MCP server hosted on Cloud Run.

Template repository for building a WebAssembly component MCP server using wasmCloud.

A governed MCP server enabling LLM agents to query BigQuery, inspect GCS, trigger Airflow DAGs, and run data-quality checks with built-in security guardrails like allow-lists, cost ceilings, and audit trails.

Enables intelligent management of Google Cloud Platform infrastructure using Terragrunt, with support for experimental stacks, parallel deployments, resource visualization, cost analysis, and comprehensive infrastructure operations through natural language.

Enables Claude to read, search, send, label, and trash emails in any Gmail account via Google's Gmail API, using OAuth2 authentication with automatic token refresh.

Enables building a stateless MCP endpoint on top of Convex, allowing AI agents like Claude to discover and interact with Convex backend functions as tools, prompts, and resources.

Provides MCP tools to manage Microsoft Fabric capacities, including listing, creating, updating, and deleting them, using Azure authentication.

Enables AI assistants to interact with Google Cloud Platform services for log analysis and root cause investigation. Provides tools to query Cloud Logging, detect error patterns, and perform real-time log streaming across multiple GCP projects.

Enables interaction with Google Cloud Storage buckets and blobs through an MCP server, supporting operations like listing, uploading, searching, batch operations, and generating signed URLs.