deployment & devops를 위한 엄선된 MCP 서버 컬렉션을 찾아보세요. 3452개의 서버를 탐색하고 필요에 맞는 완벽한 MCP를 찾아보세요.
Manages `.clinerules` files through reusable components and persona templates with version tracking.
Executes command-line operations through the Model Context Protocol (MCP).
Enables querying of AWS resources using boto3 code snippets via a Model Context Protocol (MCP) server.
Enables sending various types of messages to DingDing group robots via an MCP server.
Executes k6 load tests via the Model Context Protocol (MCP).
Provides a Docker image for mcpo, exposing Model Context Protocol (MCP) servers as OpenAPI endpoints for OpenWebUI.
Integrates TrueNAS Core systems with Model Context Protocol (MCP) clients, enabling management and automation via the TrueNAS API.
Enables AI agents to query, discover, and analyze Prometheus metrics through natural language interactions via a unified interface.
Scans and remediates hardcoded secrets in codebases using GitGuardian's API, detecting over 500 secret types.
Provides an AI-powered interface for debugging and inspecting Kubernetes clusters with eBPF-based gadgets.
Empowers AI agents to execute, optimize, and manage JavaScript/TypeScript projects using the Bun runtime via Model Context Protocol.
Enables AI assistants to securely access Kernel platform tools and perform low-latency cloud-browser automation.
Exposes Ansible utilities and workflows through an Advanced Model Context Protocol (MCP) server.
Enables AI coding assistants to interact with JetBrains TeamCity CI/CD server, providing natural language control over builds, tests, and deployments.
Spawns ephemeral Linux sandbox containers using Docker to execute commands via an interactive TTY interface, enabling collaborative AI and human interaction.
Provides a command-line interface for interacting with the Horizon3.ai API, enabling automation of autonomous pentesting workflows.
Integrate and monitor diverse homelab infrastructure components, including Docker/Podman containers, Ollama AI models, Pi-hole DNS, Unifi networks, and Ansible inventory, directly through Claude Desktop.
Connect Lenses, a DataOps platform for Apache Kafka, to various client applications via the Model Context Protocol.
Orchestrates multiple AI models for automated code review, security analysis, and multi-agent consensus within development workflows.
Provides a self-hosted code execution sandbox platform for individuals and small teams.
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