Discover our curated collection of MCP servers for cloud infrastructure. Browse 1523 servers and find the perfect MCPs for your needs.
Deploys a remote Model Context Protocol (MCP) server on Cloudflare Workers without requiring authentication.
Calculates approximate hardware requirements for dedicated search nodes on MongoDB Atlas, supporting both lexical and vector search use cases.
Connects large language models (LLMs) to various Aiven services like PostgreSQL, Kafka, and OpenSearch to facilitate full-stack solution building.
Deploys a remote API gateway for managing Google Docs operations, facilitating integration with AI assistants like Claude Web through custom connectors.
Integrates Tencent Cloud Object Storage (COS) functionalities directly into IDEs like Claude Desktop, Cursor, and Windsurf through the Model Context Protocol (MCP).
Recommends AWS services based on your specific use case descriptions.
Transforms complex GitHub Actions Runner Controller (ARC) operations into conversational AI interactions for streamlined management.
Enables AI assistants to query and validate vCluster YAML configurations directly from GitHub.
Provides a foundational server implementation for the Anthropic Model Context Protocol, enabling debate search and citation functionalities.
Integrate natural language interfaces with Railway.app infrastructure for service deployment, variable management, and monitoring.
Provides comprehensive access to the Terraform public registry, enabling AI assistants to search and retrieve information about providers, modules, and documentation.
Enables AI assistants to interact with the Alibaba Cloud Yunxiao platform, managing various DevOps processes from code to deployment.
Connects LLMs and AI agents to Amazon Redshift data using the Model Context Protocol.
Integrates the Kratos deployment platform with the Model Context Protocol, exposing extensive tools and resources for managing application lifecycles and infrastructure.
Securely manages Cloudflare DNS, Transform Rules, Page Rules, and cache using a Model Context Protocol server.
Manage Google Cloud Scheduler jobs by creating, listing, updating, pausing, resuming, and deleting scheduled tasks via a Model Context Protocol (MCP) interface.
Provides AI agents with a secure, stateful environment to execute Python and JavaScript code, acting as a direct replacement for Azure Assistants Code Interpreter.
Provides an enterprise-grade server for orchestrating and managing long-running AI agent tasks across sessions and memory boundaries.
Enables multiple AI companions to communicate in Discord using a single bot token, appearing with their own names and avatars.
Enables two LLMs to play Tic-Tac-Toe against each other using a single MCP tool as a turn-based communication relay.
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