deployment & devops를 위한 엄선된 MCP 서버 컬렉션을 찾아보세요. 3175개의 서버를 탐색하고 필요에 맞는 완벽한 MCP를 찾아보세요.
Translates natural language commands into valid Podman CLI commands for container management.
Integrates Cursor IDE with Jenkins CI/CD systems, enabling direct interaction through natural language commands.
Provides a lightweight vector store with TF-IDF search capabilities for various document types.
Establishes a secure and remotely accessible Model Context Protocol server template, integrating Cloudflare ZeroTrust Access for robust authentication and authorization.
Enables AI assistants to manage tasks through a standardized interface using the Model Context Protocol (MCP).
Simplifies PostgreSQL database management by providing global connection pooling, PgBouncer integration, and automatic password rotation for AWS RDS.
Accelerate code efficiency by automating intelligent analysis, semantic search, and AI-powered transformations.
Enables programmatic control and interaction with Mozilla's rr debugger for replay sessions via an MCP server.
Integrates OXII smart home devices and controls into the Model Context Protocol (MCP) for programmatic access.
Enables AI agents to securely query Azure DevOps data like work items, projects, and ticket statistics via a custom Model Context Protocol (MCP) server.
Provides a centralized interface for managing and monitoring various homelab services.
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.
Integrates LibreNMS network monitoring data with AI assistants, enabling natural language queries for devices, alerts, sensors, and network information.
Provides AI-powered real-time cloud cost analysis, waste detection, and optimization insights across AWS, GCP, and Azure.
Provides read-only Helm chart tools for LLM agents via the Model Context Protocol.
Enhances local development workflows by persistently caching file system operations and integrating GitHub webhook events into the development environment.
Enables AI assistants to securely connect to remote machines, execute commands, transfer files via SFTP, and manage interactive shell sessions over SSH.
Connects AI agents to Kubernetes and Prometheus to perform real-time diagnostic tasks for Site Reliability Engineers in high-scale Fintech environments.
Manages AWS infrastructure by exposing services like EC2, S3, Lambda, and RDS as MCP-compatible tools.
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