Discover our curated collection of MCP servers for deployment & devops. Browse 2344servers and find the perfect MCPs for your needs.
Orchestrates and manages security scans through a Model Context Protocol (MCP) interface.
Manage and deploy Scaleway Serverless Functions via the Model Context Protocol.
Enables AI assistants to interact with feature flags for dynamic application behavior.
Enables AI agents to access and analyze Sentry error data through a Modern Context Protocol (MCP) server.
Provides index, cluster, and document management tools for OpenSearch.
Provides a versatile ToolRegistry OpenAPI/MCP server for AI platforms like Open-WebUI and Cherry-Studio.
Serves as a Hono-based server template for Model Context Protocol applications, featuring robust OAuth2 authentication and flexible multi-platform deployment.
Provides comprehensive system information and management capabilities for Linux servers via MCP protocol and HTTP REST API, enabling AI agents to remotely monitor and interact with server resources.
Provides a server-side interface for running and managing Nmap scans.
Provides a development template for building StreamableHttp services with flexible authentication, dynamic service registration, and customizable middleware.
Facilitates interaction with a Control Plane by providing tools to retrieve Kubernetes pod logs and events.
Integrate AI assistants with Home Assistant for comprehensive control over smart home devices, automations, and system management.
Intelligently manages Model Context Protocol servers for Claude, dynamically loading tools on-demand to significantly reduce token usage and optimize context windows.
Collects Garmin health data via webhooks and integrates it with ChatGPT using OpenAI's Remote MCP for contextual insights.
Connects Large Language Models with DataDog's observability platform to enable AI assistants to interact with monitoring and operational data.
Converts stdio input into streamable-http requests, facilitating communication between stdio-based processes and HTTP-compatible services.
Automate comprehensive penetration testing with an AI-powered framework leveraging LM Studio for autonomous decision-making.
Provides comprehensive Kubernetes cluster management and GKE monitoring using AI-driven insights through Google's AI Development Kit.
Automates the generation of comprehensive merge request summaries from git logs, categorizing changes and providing structured descriptions.
Provides a Model Context Protocol server to interact with Atlassian Jira, Confluence, and Bitbucket instances, supporting both Cloud and Data Center deployments.
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