"The most widely used models" matching MCP servers:

Integrates Azure Cost Management APIs via MCP, enabling cost queries, forecasts, budgets, and Advisor recommendations through natural language in compatible clients.

The official Impreza Host connector for offshore server management

The most comprehensive ServiceNow MCP server. 17 tools for full CRUD, CMDB graph traversal, background scripts, ATF testing, and more.

Deploy Claude-generated websites to EliteSpec hosting in one tool call. deploy_site / update_site / list_sites tools give the model a live URL on elitespec.co.nz seconds after writing HTML/CSS/JS.

MCP server for the LiteLLM proxy, enabling agents to administer resources like keys, teams, users, models, and proxy settings through risk-graded meta-tools.

Multi-cloud pricing comparison MCP server that enables natural language queries to compare compute, storage, egress, and Kubernetes costs across AWS, Azure, GCP, and OCI.

Provides AWS service recommendations based on use case descriptions and allows browsing AWS services organized by categories. Helps users discover the most suitable AWS services for their specific technical requirements.

Enables AI agents to discover models, pricing, and chat completions through RouterBase, an API gateway for 200+ AI models.

Enables AI models to manage Docker containers, images, networks, and volumes through the Portainer API, providing comprehensive container orchestration capabilities.

Enables management and interaction with the Ultralytics Platform, including browsing projects/datasets/models, starting training, running predictions, and creating exports.

A Model Context Protocol (MCP) server that provides programmatic access to the Supabase Management API. This server allows AI models and other clients to manage Supabase projects and organizations through a standardized interface.

Enables AI agents to interact with Insforge backend-as-a-service platform through the Model Context Protocol, providing tools for database management, authentication, and storage operations.

Enables large language models to automatically report customer-facing issues with Azure resources by parsing natural language requests and submitting impact reports through the Azure Management API.

An MCP server that gives Claude live access to Azure pricing and cost data — retail prices, VM comparisons, reservation analysis, architecture estimates, and actual subscription spend.

An MCP server for unified cost tracking and analysis across AWS, OpenAI, and Anthropic. It enables users to query expenditures, compare costs across providers, and analyze usage trends through natural language.

MCP server enabling AI models to list S3 buckets, objects, and download files securely.

Enables users to describe their LLM fine-tuning job once and get the cheapest, fastest, and most balanced GPU options across a dozen cloud providers in seconds.

Run, build, train, and deploy ML models on the cloud.

Enables AI models to interact with AWS Lambda functions via the MCP protocol, allowing access to private resources, real-time data, and custom computation in a secure environment.

An implementation of the Model Context Protocol server that enables AI models to communicate with Edge Security Acceleration (ESA) services, allowing models to manage routines, deployments, routes, records, and sites through standardized protocols.