发现我们为 deployment & devops 精心策划的 MCP 服务器集合。浏览 2221 个服务器,找到满足您需求的完美 MCP。
Simplifies Kubernetes operations by providing an SDK-level abstraction of kubectl and client-go, offering easy resource management and MCP server capabilities.
Orchestrates AI coding agents like Claude Code CLI and Gemini CLI to automate and manage complex coding tasks.
Enables interaction with Kubernetes clusters through Model Control Protocol (MCP) tools.
Provides a standardized interface to interact with and manage Kubernetes clusters.
Integrates Zabbix monitoring capabilities with AI assistants and MCP-compatible tools, enabling comprehensive control over hosts, items, triggers, and problems.
Enables operations on AWS resources, including S3 and DynamoDB, through the Model Context Protocol.
Build simple projects with logging and automatically fix issues based on logs for esp-idf build commands.
Standardizes interaction with Apache Airflow via the Model Context Protocol (MCP).
Connect functions across different languages and network boundaries to AI agents.
Facilitates the development and testing of MCP servers by acting as both a server for Claude and a client for servers under test.
Packages an Express server and the MCP SDK into an executable file.
Orchestrates multiple MCP tools on-demand, drastically reducing token usage for AI agent contexts.
Provides scaffolding, architectural patterns, and validation rules to scale AI coding agents and ensure consistent, convention-following code generation.
Automates context management and agent orchestration for AI coding agents directly within your Git repository.
Integrate with the Datadog API to manage incidents, monitors, logs, dashboards, metrics, traces, and hosts.
Enables AI agents to connect with Apache Spark History Servers for intelligent job analysis and performance monitoring.
Enables AI agents to interact with the Terraform Registry API for provider, resource, and module information.
Generates AI-optimized context for code analysis and enforces extreme quality standards to make agentic code more deterministic.
Deploys a custom remote server to the cloud using Azure Functions for use with the Model Context Protocol.
Enables efficient handling of filesystem operations through a fast and asynchronous MCP server.
Scroll for more results...