Deployment & DevOps MCP 서버
deployment & devops를 위한 엄선된 MCP 서버 컬렉션을 찾아보세요. 1486개의 서버를 탐색하고 필요에 맞는 완벽한 MCP를 찾아보세요.
Pulumi
Enables programmatic interaction with Pulumi CLI and Cloud API through the Model Context Protocol.
Config
Simplifies the installation and configuration of servers for MCP clients through a command-line interface.
Heroku Platform
Enables large language models to interact with and manage Heroku Platform resources.
Railway
Enables management of Railway.app infrastructure, including deployments, variables, and services, through natural language using Model Context Protocol.
Portainer
Exposes Portainer environment data through the Model Context Protocol (MCP), enabling AI assistants to interact with containerized infrastructure.
Apache Spark History Server
Enables AI agents to analyze job performance, identify bottlenecks, and provide intelligent insights from Apache Spark History Server data.
CircleCI
Integrates CircleCI with the Model Context Protocol to enable natural language interactions for development workflows.
Vercel Integration
Integrates Vercel's REST API as tools within an MCP server, providing programmatic access to deployment management.
FastMCP
Establishes a foundational server setup for FastMCP applications with integrated development workflows.
NetBox
Enables interaction with NetBox data via Large Language Models (LLMs) using the Model Context Protocol (MCP).
Zabbix
Integrates Zabbix monitoring capabilities with AI assistants and MCP-compatible tools, enabling comprehensive control over hosts, items, triggers, and problems.
Datadog
Enables interaction with the Datadog API using the Model Context Protocol for accessing monitoring data, dashboards, metrics, events, logs, and incidents.
Vercel
Provides full administrative control over Vercel deployments through Cursor's Composer and Codeium's Cascade.
DataHub
Provides a Metadata Change Proposal (MCP) server implementation for data governance.
Railway
Manages Railway account resources and automates workflows through a local Model Context Protocol server.
Terminal
Enables AI models to execute terminal commands on a host machine and retrieve the output.
AI Federation Network
Enables federated connections between AI systems and various data sources through a standardized architecture.
OpenTofu
Enables language model assistants to access and search the OpenTofu Registry for information about providers, modules, resources, and data sources.
Google Cloud
Connects to Google Cloud services to provide context and tools for interacting with resources.
Yamcp
Organizes MCP servers in local workspaces and shares them through a single command.
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