Discover our curated collection of MCP servers for deployment & devops. Browse 2221servers and find the perfect MCPs for your needs.
Provides a high-performance face embedding server utilizing ONNX Runtime for scalable face recognition applications.
Connects Generative AI systems to multiple Kubernetes clusters for streamlined management and observability.
Enables AI agents to directly manage Supervisord processes, simplifying operations and reducing overhead for application lifecycle management.
Provides a Model Context Protocol (MCP) server for interacting with Vertica databases.
Automatically detects and suggests fixes for security vulnerabilities in code, including AI-generated code and Infrastructure as Code.
Integrates with Flashduty APIs to provide advanced incident management and automation capabilities via the Model Context Protocol (MCP).
Enables Large Language Models to connect to and utilize SSH servers through a Model Context Protocol (MCP) integration.
Optimizes large language model context window usage for tool execution by aggregating multiple servers.
Exposes PyTorch Lightning training and inspection functionalities through a structured, machine-readable interface.
Manages and optimizes NVIDIA Jetson Nano systems for AI workloads, edge computing, and system administration via SSH.
Manage Kubernetes clusters and automate operations using AI-powered natural language interfaces.
Generates server implementations from Solidity contracts for easier interaction with blockchain contracts through RESTful APIs.
Provides an enterprise-grade Model Context Protocol server with integrated ServiceNow capabilities and robust health monitoring.
Control Tuya smart home devices from the command line using local keys.
Provides access to and visualization of SolarWinds Observability logs through a Model Context Protocol (MCP) server.
Provides comprehensive system information and management capabilities for Linux servers through MCP and HTTP REST APIs, enabling AI agents to monitor and interact with server resources.
Provides programmatic access to DigitalOcean's API, offering extensive infrastructure management through the Model Context Protocol.
Enables AI assistants to securely connect and interact with external Firebird databases for SQL query execution and data management.
Connects multiple independent Model Context Protocol servers, exposing a unified interface to clients like large language models and applications.
Orchestrate remote SSH and SFTP connections with advanced interactive capabilities and revolutionary background execution.
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