Discover our curated collection of MCP servers for deployment & devops. Browse 3086 servers and find the perfect MCPs for your needs.
Provides a stateful terminal as an MCP tool server.
Enables natural language interaction with AWS resources through AI assistants like Claude.
Enforces security configurations for Microsoft 365 in accordance with CISA Binding Operational Directive 25-01.
Facilitates deployment and management of DolphinDB servers.
Bridges Claude and Prometheus, enabling interaction with Prometheus metrics and data through the Model Context Protocol (MCP).
Scans IP addresses for vulnerabilities using multiple methods and returns detailed reports.
Securely run Model Context Protocol (MCP) servers without hardcoding secrets in configuration files.
Aggregates multiple Model Context Protocol (MCP) servers and presents them as a single, unified interface.
Simplifies the management, configuration, and monitoring of backend services through a web-based platform.
Deploys an MCP server to Cloudflare Workers using TypeScript.
Converts PNG, JPG, and JPEG images to WebP format in batches with cross-platform support.
Implements a simple, asynchronous Modern Context Protocol (MCP) server and client for exposing and consuming remote functions.
Facilitates the discovery, configuration, and local installation of Model Context Protocol (MCP) servers.
Provides a comprehensive set of 172 tools, agents, and commands to transform Claude Desktop into a powerful development command center.
Provides a multi-agent and large language model platform for stock analysis and learning, specifically tailored for Chinese users.
Empower AI agents to connect and interact with any device, protocol, or network through a unified interface.
Retrieves the current, up-to-date versions of dependencies across diverse programming language ecosystems and DevOps tools.
Provides LLMs visual access to bare metal server consoles via iKVM/IPMI for AI-powered debugging and monitoring through screenshot capture.
Provides AI clients and their agents with persistent, interactive shell access via pseudo-terminals, ensuring consistent workflow and state management.
Orchestrates agentic AI workloads across multi-cloud GPU infrastructure, providing imperative control for optimal cost, performance, and lifecycle management.
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