Deployment & DevOps MCPサーバー
deployment & devops向けの厳選されたMCPサーバーコレクションをご覧ください。1035個のサーバーを閲覧し、ニーズに最適なMCPを見つけましょう。
Server Installer
Creates an executable file for a MySQL-based server application using Python.
Chuk Perplexity
Provides a simple echo service, returning messages it receives for diagnostic and testing purposes within the MCP framework.
Ipify
Retrieves a machine's current IP address using ipify.
Local RAG Backend
Enables local RAG systems by registering diverse document formats for advanced search capabilities through an MCP server.
Motion Mavericks Host
Hosts multiple remote Model Context Protocol (MCP) servers on DigitalOcean.
Servers
Categorizes and organizes various tools relevant to MCP server management.
Server Fetch
Facilitates the installation and execution of an MCP server.
TrueNAS Core
Integrates TrueNAS Core systems with Model Context Protocol (MCP) clients, enabling management and automation via the TrueNAS API.
Orchestrica
Orchestrates and manages multiple AI agents built on Agentica for scalable, LLM-centric interactions.
Python Interpreter
Enables interaction with a Python interpreter and file system within a Docker container environment.
Git
Enables Large Language Models to interact with and automate Git repositories.
NATS Toolbox
Exposes MCP tools via NATS microservices, functioning either standalone or as a Go library.
Chain
Anchors agent tools, trust registries, and attestable executions on-chain, bringing the Model Context Protocol to Web3.
Zabbix
Analyzes and automates Zabbix events using AI-powered Model Context Protocol.
Kubectl AI
Simplifies Kubernetes management tasks by leveraging AI-powered suggestions, command autocompletion, and error handling.
Jenkins Integration
Facilitates interaction with Jenkins CI/CD servers for managing jobs, builds, and reports.
Viq
Provides authenticated access for Claude AI to PostgreSQL databases, enabling natural language interaction with data.
Envmcp
Simplifies the management of environment variables within Cursor MCP server definitions.
ChaosPilot
Automatically analyzes error, warning, and critical logs using AI agents to detect patterns, classify incidents, and recommend fixes.
Gabi
Exposes the Gabi API to enable running queries against a target system.
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