Discover our curated collection of MCP servers for deployment & devops. Browse 3091 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.
Aggregates multiple Model Context Protocol (MCP) servers and presents them as a single, unified interface.
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.
Provides a comprehensive set of 172 tools, agents, and commands to transform Claude Desktop into a powerful development command center.
Integrates with StackHawk's security scanning platform to provide security analytics, YAML configuration management, and threat surface analysis for LLMs and IDEs.
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.
Enables AI assistants to interact with Fleet Device Management for device management, security monitoring, and compliance enforcement.
Retrieves the current, up-to-date versions of dependencies across diverse programming language ecosystems and DevOps tools.
Unifies AI development tools by serving as an enterprise-ready gateway and registry for secure OAuth, dynamic tool discovery, and seamless access for autonomous agents and coding assistants.
Exposes the OpenZiti Management API to AI agents, enabling natural language control over network resources.
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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