Descubre nuestra colección curada de servidores MCP para deployment & devops. Explora 1811 servidores y encuentra los MCP perfectos para tus necesidades.
Provides a self-hosted server for integrating with the Europarcel API, supporting both stdio and HTTP transport modes.
Enables AI assistants to efficiently filter and analyze Cloud Platform logs using prefixes, patterns, and time ranges.
Integrates AI assistants with MikroTik RouterOS devices, enabling natural language command execution for network configuration and management.
Provides a self-hosted execution environment enabling large language models to interact with code, files, and dependencies.
Provides a clean, reusable TypeScript boilerplate for building Model Context Protocol servers.
Provides a foundational example for deploying and running an MCP server.
Automates Google Jules, an AI coding assistant, to manage tasks, code reviews, and repository operations.
Demonstrates how tools can be dynamically overridden across multiple Model Context Protocol servers.
Generates a Multi-Agent Conversation Protocol (MCP) server from an OpenAPI specification.
Provides a robust, timezone-aware time server implementation.
Provides AI agents with secure, controlled access to network security tools by transforming command-line utilities into safe, monitored, API-accessible services.
Orchestrates enterprise-grade security tools with built-in safety, resilience, and comprehensive observability.
Deploys an unauthenticated remote server for the Model Context Protocol (MCP) on Cloudflare Workers.
Integrate with the Cloudflare API to manage zones, DNS, KV storage, and cache operations via the Model Context Protocol.
Integrates with GitHub's API through the Model Context Protocol (MCP).
Simplifies Terraform on AWS development by providing a Dockerized Model Context Protocol (MCP) server with integrated best practices, infrastructure as code patterns, and security compliance.
Organizes tools by category, aiming to improve server management and accessibility.
Provides secure, compact access to PostgreSQL databases, SSH command execution, and HTTP API interactions for AI agents.
Provides common operation interfaces for Jenkins jobs through a Spring AI-based MCP Server.
Manage Docker containers through an HTTP API or MCP server, enabling seamless integration with AI agents for isolated code execution.
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