Discover our curated collection of MCP servers for deployment & devops. Browse 3455 servers and find the perfect MCPs for your needs.
Enables AI assistants to interact with the Bunnyshell platform via natural language commands.
Monitors server status by retrieving CPU, memory, and uptime information for local or remote servers.
Deploys a remote server on Cloudflare Workers to host custom Model Context Protocol (MCP) tools without requiring authentication.
Facilitates deployment and integration of AI Model Context Protocol servers with Microsoft Copilot Studio to enhance AI model capabilities with external data sources.
Builds and demonstrates an MCP (Model Context Protocol) server in Python, integrating weather alerts and conversational agents.
Demonstrates developing and running serverless Model Context Protocol (MCP) applications using Netlify Functions.
Integrates powerful SSH client capabilities with App Store Connect API management within a Model Context Protocol server.
Provides a lightweight vector store with TF-IDF search capabilities for various document types.
Streamlines the rapid setup and deployment of Modular Control Protocol (MCP) servers using the Yokai Go framework.
Establishes a secure and remotely accessible Model Context Protocol server template, integrating Cloudflare ZeroTrust Access for robust authentication and authorization.
Manages restaurant reservations and availability by exposing SevenRooms API functionality via the Model Context Protocol.
Integrates Sourcegraph's universal code search capabilities with AI assistants using the Model Context Protocol (MCP).
Builds a lightweight server to efficiently interact with the complete Cloudflare API, streamlining cloud management tasks.
Provides an AI-powered DevOps knowledge base for Claude, offering best practices, templates, and automation to streamline infrastructure projects.
Provides a robust security layer for AI agents and code, implementing comprehensive input validation, output filtering, policy enforcement, audit logging, and rate limiting.
Transforms structured markdown into production-grade software through an autonomous, self-correcting, and traceable development pipeline.
Retrieves COBOL source code and copybooks from z/OS mainframes to empower AI assistants and developers.
Unifies multiple MCP servers into a single, resilient interface, routing tool calls and managing server lifecycles for seamless integration with Claude Code.
Provides a production-ready server for the FastMCP protocol, dynamically loading AI agent tools, resources, and knowledge from various sources.
Automates network configuration and auditing for legacy Cisco IOS devices using natural language commands.
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