Deployment & DevOps MCP 서버

deployment & devops를 위한 엄선된 MCP 서버 컬렉션을 찾아보세요. 1518개의 서버를 탐색하고 필요에 맞는 완벽한 MCP를 찾아보세요.

Retrieves and analyzes issues from Sentry.io to provide debugging information.

Enables AI code agents to manage Netlify resources through natural language prompts using the Model Context Protocol.

Provides a comprehensive Message Control Protocol (MCP) server for managing Kafka Schema Registry operations.

Injects environment variables into Cursor MCP server definitions.

Enables AI agents to query, discover, and analyze Prometheus metrics through natural language interactions via a unified interface.

Accelerate building Generative AI applications in .NET with integrated templates, GitHub Models, and Azure OpenAI.

Manages records and files within a PocketBase instance, providing tools for data manipulation and migration management.

Provides a suite of tools for automated frontend testing, including code analysis, test generation, and test execution.

Enables interaction with Coolify instances through Model Context Protocol (MCP) tools.

Enables sending various types of messages to DingDing group robots via an MCP server.

Enables querying of AWS resources using boto3 code snippets via a Model Context Protocol (MCP) server.

Executes command-line operations through the Model Context Protocol (MCP).

Enables AI models to control your PC or server via SSH or terminal.

Facilitates the easy running, deployment, and connection to Model Context Protocol servers.

Accelerates Model Context Protocol (MCP) server development with an out-of-the-box, production-grade scaffold.

Converts OpenAPI specifications into fully functional Model Context Protocol (MCP) servers.

Enables natural language control of robots in ROS environments by interacting with topics, services, and actions.

Provides a complete interface to the Delve debugger for Go programs through MCP tools.

Provides programmatic access and command-line control for Cursor's AI-powered background coding tasks and composer functionality.

Manage Kubernetes resources through natural language using large language models.

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