Discover our curated collection of MCP servers for deployment & devops. Browse 2214servers and find the perfect MCPs for your needs.
Automates the creation and validation of FedRAMP Security Authorization Packages using NIST's OSCAL standard.
Enables AI assistants to manage and operate Terraform environments through the Model Context Protocol (MCP).
Enables AI assistants in Cursor, VS Code, Claude Code, or any MCP-enabled IDE to autonomously manage Home Assistant configurations, automations, dashboards, and themes using natural language.
Deploys HTML content to EdgeOne Pages and provides a publicly accessible URL.
Provides an adapter for the Model Context Protocol (MCP), enabling real-time communication between web applications and AI models on frameworks like Next.js.
Streamline the deployment of applications and management of multi-cloud infrastructure for both AI agents and humans.
Enables AI assistants to query and analyze Prometheus metrics through standardized Model Context Protocol (MCP) interfaces.
Orchestrates production-ready AI systems, enabling organizations to deploy, manage, and scale AI with real Google API integrations and agent-optimized architecture.
Enables AI assistants to securely interact with Azure DevOps through a standardized protocol.
Define and compose secure Model Context Protocol (MCP) servers to generate and deploy AI workflows and agents with integrated governance.
Enables AI assistants to interact with Argo CD applications and resources through natural language.
Provides a comprehensive neural intelligence framework for building, deploying, and orchestrating ephemeral, CPU-native AI solutions across diverse environments.
Enables AI assistants like Claude to interact with and manage AWS resources using natural language.
Enables conversational interaction with a PostgreSQL database, deployable as a remote MCP server with GitHub OAuth through Cloudflare.
Enables secure command-line interactions on Windows systems for controlled access to various shells and remote systems via the Model Context Protocol.
Enhances software development workflows with AI-powered automation for Kubernetes deployment, documentation testing, and shared prompt management.
Empower developers to rapidly prototype, develop, and deploy scalable AI-powered applications, including workflows and agents, using a unified TypeScript stack.
Unify code indexing, hybrid search, and LLM decoding into a plug-and-play retrieval stack for rapidly deploying context-aware AI agents.
Enables large language models to securely read, manage, and operate Salesforce resources.
Enables AI assistants to interact with Argo CD applications through natural language.
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