Discover our curated collection of MCP servers for deployment & devops. Browse 3446 servers and find the perfect MCPs for your needs.
Facilitates RapidAPI server deployment and debugging within the Claude environment.
Enables AI tools to interact with Kubernetes clusters using natural language, facilitating advanced automation and interaction.
Generates server implementations from Solidity contracts for easier interaction with blockchain contracts through RESTful APIs.
Interfaces with the v0 API through a Model Context Protocol (MCP) server.
Delivers real-time system metrics including CPU, memory, disk, network, and process information through a standardized Model Context Protocol interface.
Orchestrates best-in-class language tools for multi-language code analysis and static checks across AI agents, LLMs, and automation workflows.
Provides a serverless implementation of the Model Context Protocol (MCP) using AWS Lambda, CloudFront, and Cognito authentication for scalable and secure cloud-hosted MCP servers.
Manage Kubernetes clusters and automate operations using AI-powered natural language interfaces.
Manages persistent terminal sessions, allowing commands to run continuously even after client disconnection, ideal for AI assistants and long-running tasks.
Manages Tailscale networks with a FastMCP 2.12 compliant server, offering extensive control and observability.
Provides a production-ready Model Context Protocol (MCP) server to manage Google Calendar events and Google Meet conferences with robust security and enterprise features.
Provides a fast and responsive Text User Interface for monitoring and managing Docker containers directly from the terminal, including real-time log streaming and CPU usage.
Compares compute, storage, egress, and Kubernetes costs across major cloud providers like AWS, Azure, GCP, and OCI with a single query.
Centralizes Model Context Protocol (MCP) server management, routing client requests, and enforcing fine-grained access control across multiple backend servers through a unified interface.
Exposes SU2 session lifecycle, configuration, solver execution, and results inspection through a server interface.
Centralize the installation, management, and inspection of Model Context Protocol (MCP) servers across diverse AI clients from a unified command-line interface.
Provides AI agents with controlled API access to a user-owned Datalust Seq instance for logging and monitoring.
Exposes the complete Fortinet FortiOS 7.6.6 REST API as typed Model Context Protocol (MCP) tools for AI clients.
Generates production-ready static websites from Markdown files, optimized for AI coding agents.
Aggregate and expose multiple Model Context Protocol (MCP) servers through a single, self-hosted endpoint, simplifying access for AI clients.
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