Discover our curated collection of MCP servers for deployment & devops. Browse 1964servers and find the perfect MCPs for your needs.
Integrates AI assistants with MikroTik RouterOS devices, enabling natural language command execution for network configuration and management.
Provides a curated collection of tools categorized for various server-related tasks.
Implements an example remote MCP server leveraging Server-Sent Events (SSE) and API key authentication, deployable on Azure Container Apps.
Provides secure, auditable remote access to a system shell for executing commands and streaming output.
Deploys an MCP server on Cloudflare Workers with integrated OAuth authentication.
Connects AI agents to the Somnia blockchain network using the Model Context Protocol.
Reranks documents based on relevance to a given query using the ZeroEntropy Zerank API.
Deploys an unauthenticated Model Context Protocol (MCP) server on Cloudflare Workers.
Consolidates and serves multiple Model Context Protocol (MCP) servers through a single Stdio or HTTP interface.
Expresses entire web applications as a graph of interconnected agentic nodes, leveraging generative AI to perform complex workloads.
Provides a standardized interface for AI models to access a variety of jokes, including Chuck Norris and Dad jokes.
Manages PostgreSQL clusters via the CloudNativePG operator within Kubernetes environments.
Enables AI assistants to automate the creation, update, and publication of API documentation through Theneo's Model Context Protocol server.
Provides a Model Context Protocol (MCP) server leveraging Server-Sent Events (SSE) for real-time interaction, integrating with n8n workflows and orchestrating calls to external system APIs with natural language support.
Documents the setup and configuration process for a GitHub Model Context Protocol (MCP) server.
Manages Palo Alto Networks firewalls and services through a unified API interface using a suite of specialized servers.
Integrates Unimus network configuration management data with large language models (LLMs) via a read-only Model Context Protocol server.
Debugs server logs rapidly with AI-powered analysis, real-time monitoring, and actionable fixes.
Provides unrestricted system access to Windows environments through command-line execution.
Integrates local Llama models with Claude Desktop, enabling private, custom, and cost-effective AI operations through the Model Context Protocol.
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