Discover our curated collection of MCP servers for cloud infrastructure. Browse 1241servers and find the perfect MCPs for your needs.
Backs up Cloudflare projects to a GitHub repository.
Discovers, normalizes, and serves MCP tools from upstream OpenAPI services to AI agents with automatic inventory synchronization and access control.
Integrates with Railway.app to allow AI clients to manage infrastructure, deploy services, and monitor deployments using natural language.
Provides comprehensive Trello integration as a Model Context Protocol server, securely deployed on Cloudflare Workers.
Integrate Terraform Cloud API functionality into AI assistants for managing infrastructure as code.
Deploys an HTTP wrapper for the `gcloud-mcp` CLI to Google Cloud Run, enabling programmatic execution of gcloud commands.
Securely exposes Model Context Protocol (MCP) servers using NGINX, Supergateway, and Render.
Deploys a remote Model Context Protocol (MCP) server to Cloudflare Workers with OAuth login.
Deploys an externally hosted Agent.AI MCP server on Vercel.
Connects to a managed index on LlamaCloud, allowing access to information from your knowledge base.
Automate multi-cloud security assessments and generate professional compliance documentation using AI.
Orchestrates AI agents and their associated tools by defining infrastructure in YAML for unified local deployment.
Provides a collection of modular microservices integrating with various external APIs and databases.
Enables secure execution of Docker commands on a host system for clients operating in isolated environments, such as language models within containers.
Deploys and manages server implementations for Columbia's Model Context Protocol.
Securely access Google Contacts data with a serverless connector on AWS Lambda, leveraging per-user OAuth for real-time, privacy-focused retrieval for AI agents.
Standardizes interactions between AI agents and backend systems through microservices.
Deploys an MCP server and integrates it with Microsoft Copilot Studio, allowing seamless integration of knowledge servers and APIs.
Enables administration of OpenMediaVault systems through chat clients and MCP-compatible tools.
Enables Large Language Models to leverage IBM Cloud as a tool.
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