Discover our curated collection of MCP servers for deployment & devops. Browse 2341servers and find the perfect MCPs for your needs.
Provides a Metadata Change Proposal (MCP) server implementation for data governance.
Provides a curated list of best practices for building Model Context Protocol (MCP) servers and clients.
Provides a Model Context Protocol (MCP) server to control and monitor Nav2 navigation operations for robots.
Automates Tailscale network management and monitoring through a standardized Model Context Protocol interface.
Provides tools for accessing and interacting with Alibaba Cloud's observability products like SLS and ARMS.
Integrates Vercel's REST API as tools within an MCP server, providing programmatic access to deployment management.
Connects AI agents and tools with ROS 2 nodes, topics, and services via the Model Context Protocol (MCP) over stdio.
Enables AI agents to programmatically interact with the QuantConnect cloud platform for algorithmic trading tasks.
Simplifies the installation and configuration of servers for MCP clients through a command-line interface.
Empowers AI assistants to perform comprehensive and secure operations on MySQL databases, including CRUD, transaction management, and intelligent rollback.
Provides an infrastructure layer for AI agents to connect and manage tools across various environments.
Enables structured interaction with network devices via STDIO using the JSON-RPC 2.0 protocol.
Enables interaction with the Datadog API using the Model Context Protocol for accessing monitoring data, dashboards, metrics, events, logs, and incidents.
Organizes MCP servers in local workspaces and shares them through a single command.
Provides full administrative control over Vercel deployments through Cursor's Composer and Codeium's Cascade.
Manages MCP skill versions, detecting updates, facilitating A/B testing, and intelligently merging custom changes with integrated security scanning.
Enhances Proxmox virtualization management with complete OpenAPI integration and advanced VM lifecycle control.
Provides a minimal FastMCP server template optimized for Render deployment with streamable HTTP transport.
Enables LLM-powered applications to interact with Kubernetes clusters by providing a Model Context Protocol server.
Enables federated connections between AI systems and various data sources through a standardized architecture.
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