"author:MCP" matching MCP servers:

Enables AI assistants to interact with and manage Google Cloud Platform resources including Artifact Registry, BigQuery, Cloud Build, Compute Engine, Cloud Run, Cloud Storage, and monitoring services through a standardized MCP interface.

An MCP server that enables AI agents to safely operate multi-cluster Kubernetes fleets through an Open Cluster Management hub, with policy enforcement, human approval, and audit tracing.

Exposes Microsoft Fabric operations as MCP tools, with 105 tools across 17 domains including lakehouses, warehouses, notebooks, pipelines, and real-time analytics, handling long-running operations and supporting multiple authentication modes.

Provides comprehensive access to 471+ DigitalOcean API endpoints, enabling AI assistants to manage cloud infrastructure including droplets, databases, load balancers, DNS, Kubernetes, and other DigitalOcean resources programmatically.

An MCP server for Infrastructure as Code that enables AI assistants to manage cloud resources through Ansible and Terraform operations. It supports executing playbooks, managing AWS services, and running Terraform commands with optional LocalStack integration.

Enables read-only AWS cost exploration, forecasting, and anomaly detection through natural language using user-connected IAM credentials.

Enables querying the CNCF landscape to search for projects, get detailed information, GitHub metrics, maturity status, and case studies for technology decision support.

A thin, deterministic MCP hub for SAP BTP that routes connections to multiple SAP systems behind one login, preserving per-user identity.

Provides a standardized interface for interacting with Google-Gemini's tools and services through a unified API.

Enables AI assistants to manage cloud infrastructure through natural language by providing a unified interface to the Dokploy platform. Supports Docker containers, applications, databases, domains, monitoring, and deployment operations through conversational commands.

MCP server that routes medical questions and images to MedGemma models hosted on Vertex AI, enabling interaction with text-only and multimodal medical AI systems.

A standardized interface for interacting with AWS S3 tools and services through a unified API, following the MCP specification.

Enables AI assistants to perform comprehensive Snowflake database operations including DDL, DML, and warehouse management. It allows users to query data, manage database objects, and configure permissions using natural language commands.

Enables AI models to retrieve user geolocation information through EdgeOne Pages Functions. Provides access to location data via the Model Context Protocol for integration with large language models.

Enables interaction with MinIO object storage through a standardized Model-Context Protocol interface. Supports listing buckets and objects, retrieving files, and uploading data to MinIO storage.

Enables AI assistants to execute AWS CLI commands and retrieve service documentation through the Model Context Protocol. It supports Unix pipes for output filtering and provides pre-defined prompt templates for common cloud management tasks.

Enables natural language Kubernetes operations, including smart resource queries, pod root-cause analysis, cross-environment diffs, and manifest generation.

Enables natural-language management of your cloud database backend, including running SQL, applying migrations, managing tables, storage, edge functions, and branches, plus searching documentation. Connects via one-click magic-link without keys or tokens.

Provides a standardized interface for interacting with Neon's tools and services through a unified API via the Model Context Protocol.

Enables read-only reporting on Google Cloud BigQuery billing exports, allowing users to list accounts, query costs by day/service/project/SKU, and identify top services.