Discover our curated collection of MCP servers for deployment & devops. Browse 2324servers and find the perfect MCPs for your needs.
Provides a reliable interface layer for agents and tools to interact with real-world APIs, managing functionalities like search, authentication, whistle reporting, and user preferences.
Provides a foundational Python-based server for streamable HTTP communication with built-in authentication.
Automates the generation of tag-based release notes for Git repositories by analyzing differences between tags.
Analyzes GitHub Actions workflows and performance to identify CI/CD bottlenecks.
Deploys a remote Model Context Protocol (MCP) server on Cloudflare with OAuth login.
Integrates ArgoCD with GenAI applications to enable intelligent Kubernetes deployment management through a Model Context Protocol (MCP) server.
Automates iTerm2 terminals, allowing AI assistants to control command execution and TUI interactions through the Model Context Protocol.
Provides a production-ready server for Kubernetes observability and debugging.
Provides a production-ready server and a comprehensive client for the FastMCP protocol, equipped with essential features for robust application development and deployment.
Provides a comprehensive platform to view and interact with Kubernetes clusters through a dashboard, REST API, and AI-enabled Model Context Protocol (MCP) server.
Monitors and logs running processes, making their output and status accessible to AI agents through the Model Context Protocol.
Integrates the powerful xray vulnerability scanner into ModelScope's Model Context Protocol for comprehensive security assessments.
Provides comprehensive tools for evaluating and benchmarking post hoc explanation methods in AI models through a standard interface.
Illustrates Gilhari's implicit attributes feature for automatic foreign key management in JSON objects within a RESTful microservice.
Provides progressive disclosure access to the Kubernetes API, enabling AI agents to interact with clusters efficiently and securely.
Provides an experimental testing ground for server termination protocols.
Provides a Model Context Protocol (MCP) server for interacting with and managing Kubernetes clusters.
Manages and provides Model Context Protocol (MCP) services by integrating the FastMCP framework directly within Odoo 17.
Serves Pyodide applications.
Facilitates bidirectional synchronization of Qdrant vector database collections between local and remote instances.
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