deployment & devops를 위한 엄선된 MCP 서버 컬렉션을 찾아보세요. 3455개의 서버를 탐색하고 필요에 맞는 완벽한 MCP를 찾아보세요.
Provides an auto-generated server for the Twilio Verify API, enabling multi-agent conversation protocol interactions.
Provides unrestricted command-line access to Windows environments with SYSTEM-level privileges, enhancing the original Windows CLI server.
Provides an auto-generated Multi-Agent Conversation Protocol (MCP) server for the Google Custom Search API.
Queries Kubernetes to retrieve GPU node information and cluster topologies for Azure HPC/AI clusters.
Monitor and manage container security, offering remote container administration, security log analysis, and real-time event surveillance.
Showcases a basic example of developing and running serverless Model Context Protocol (MCP) applications using Netlify Functions.
Provides a Model Context Protocol (MCP) server implementation to facilitate interactions between AI agents.
Enables AI assistants to automate the creation, update, and publication of API documentation through Theneo's Model Context Protocol server.
Automates the creation and management of posts for an Astro blog deployed on Vercel via a REST API.
Manages Palo Alto firewalls through their REST API, offering tools for system information retrieval, upgrades, content updates, and certificate management.
Optimizes Jenkins interactions for AI coding assistants, providing token-aware formatting, smart log handling, and automated failure triage.
Integrates a local RAG system, MCP server, and visual service management into any development project with a one-command setup.
Orchestrates and securely monitors autonomous agents on Ubuntu using Docker sandboxing and a RESTful API.
Integrates Oracle Cloud Infrastructure services with Claude Code, enabling comprehensive access and management of OCI resources.
Connects Claude to SAP Cloud Platform Integration (CPI) to enable AI-driven management and monitoring of integration processes.
Provides a DataOps-focused interface for ClickHouse, offering query optimization, pipeline latency analysis, and data quality monitoring capabilities.
Provides a Model Context Protocol (MCP) interface for programmatically interacting with Jenkins CI/CD servers, enabling remote management of jobs and builds.
Parse, validate, deep merge, convert, and compare configuration files across JSON, YAML, TOML, and INI formats.
Aggregates, routes, caches, monitors, and controls access to multiple upstream MCP servers through a single endpoint.
Integrate comprehensive Git version control capabilities directly into any Model Context Protocol (MCP) compatible AI client.
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