发现我们为 deployment & devops 精心策划的 MCP 服务器集合。浏览 2591 个服务器,找到满足您需求的完美 MCP。
Executes Kubernetes commands and interprets their output via a given kubeconfig path.
Manages workflows and Docker image building for Bio-OS instance platforms.
Sends webhook notifications upon AI agent task completion, facilitating efficient multi-project development.
Monitors worker productivity and automates termination based on predefined criteria.
Integrates with Azure DevOps to manage work items, wiki documentation, sprint planning, and handle attachments and discussions.
Manages unikernels using the nanos/ops toolchain through an mcp server.
Generates MCP-compatible server components dynamically from OpenAPI specifications.
Defines and executes custom command-line operations for a server using templated configurations.
Provides a low-latency, clustered key-value store with HTTP and WebSocket interfaces, designed for cloud-native deployment.
Unifies and expands access to multiple Model Context Protocol (MCP) servers by organizing them into flexible streaming HTTP (SSE) endpoints.
Provides a read-only Model Context Protocol (MCP) server for AI-powered introspection of Kubernetes, Helm, and Argo environments.
Deploys an agentic AI architecture on AWS Fargate for Amazon ECS, enabling an AI service to interact with multiple Model Context Protocol servers to perform various actions.
Assists students in preparing for any exam or test by serving as an intelligent, AI-powered study companion.
Integrates Large Language Models (LLMs) with Mackerel for enhanced monitoring and management capabilities.
Enables AI assistants to consult advanced AI models for code analysis, strategic planning, and real-time web search with intelligent context gathering.
Exposes LangChain agent capabilities as a production-ready server via the Model Context Protocol.
Deploys a production-ready template for specialized medical agents as discoverable MCP tools via the Agent Orchestration Protocol.
Orchestrates complex tool interactions by presenting a single `query` interface to clients, intelligently planning and executing calls to various internal and external services.
Execute bash commands with background job support on an MCP server.
Integrates AI-powered skills and tooling for managing Flux Cloud and FluxOS deployments.
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