Discover our curated collection of MCP servers for deployment & devops. Browse 2324servers and find the perfect MCPs for your needs.
Enables secure remote command execution and file operations via SSH protocol.
Provides a modern, systems-oriented scripting language that transpiles to Rust, optimized for data science and scientific computing.
Safely executes command-line tools through the Model Context Protocol (MCP).
Securely manages credentials for MCP servers by leveraging system-native keychain storage across macOS, Windows, and Linux.
Provides persistent, cognitive memory for AI agents and edge devices, utilizing a 3-tier memory model, Hebbian learning, and a knowledge graph.
Facilitates Model Context Protocol (MCP) communication for container runtimes such as Podman and Docker.
Integrates Azure DevOps with the Model Context Protocol (MCP) server, providing access to work items, repositories, projects, boards, and sprints.
Manages containerd CRI interfaces using the Rust Model Context Protocol (RMCP) library.
Deploys a complete AWS backend infrastructure for retrieval-augmented generation applications, integrating with Gemini Pro and a Streamlit UI.
Provides a REST API for managing VMware ESXi/vCenter virtual machines using the Model Control Protocol.
Simplifies the deployment of Model Context Protocol (MCP) servers by providing a purpose-built CI/CD platform.
Enhances Claude Code with advanced task management, multi-language syntax validation, static analysis, long-term memory, and intelligent context tracking to prevent hallucinations and improve coding efficiency.
Audits npm package dependencies for security vulnerabilities using a remote npm registry.
Manages and load-balances multiple Tavily API keys to enhance availability and increase request throughput for Tavily services.
Provides a robust TypeScript template for building remote Model Context Protocol servers.
Orchestrates the creation and management of multiple isolated Model Context Protocol servers from a single connector, enabling robust AI assistant integrations with databases and APIs.
Enables AI agents to integrate real-time production observability data into development environments.
Enables interaction with the Bitbucket Server API for pull request management via the Model Context Protocol (MCP).
Configures OpenTelemetry Collectors dynamically through MCP tools.
Quickly set up and deploy Model Control Protocol (MCP) servers to Cloudflare Workers.
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