Deployment & DevOps MCPサーバー

Remote SSH

Orchestrate remote SSH and SFTP connections with advanced interactive capabilities and revolutionary background execution.

Chrome

Provides a Dockerized web-based desktop environment with a Playwright server for robust browser automation.

Proxy

Optimizes large language model context window usage for tool execution by aggregating multiple servers.

ECS AI Agent

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.

PyTorch Lightning

Exposes PyTorch Lightning training and inspection functionalities through a structured, machine-readable interface.

AWS Instances

Retrieves and lists running AWS EC2 instances for a specified region via the Model Context Protocol.

Index Network

Integrates ChatGPT with Index Network's discovery protocol via a Model Context Protocol server.

Civo

Manages Civo cloud instances, networks, and Kubernetes clusters through an MCP server interface.

Development Server

Enables Claude to manage software development projects with project context awareness and code execution via Docker.

Langtools

Orchestrates best-in-class language tools for multi-language code analysis and static checks across AI agents, LLMs, and automation workflows.

Flutter

Enables AI assistants and automated workflows to securely interact with and automate Dart and Flutter development tasks.

AzResource

Enables querying and listing Azure resources and costs directly from an MCP client.

IRIS Execute

Provides comprehensive integration tools for InterSystems IRIS, including direct execution, class compilation, and isolated unit testing capabilities.

Pmcp

Provides a Model Context Protocol server to enable natural language interactions with Prometheus metrics and queries.

Datum

Provides secure, OAuth-authenticated access for AI agents to manage Datum Cloud network infrastructure and resources.

Coordinator

Transforms existing Model Context Protocol (MCP) servers into importable Python libraries, enabling efficient and scalable AI agent tool usage.

Q-Scheduler

Orchestrates and manages diverse automated tasks, including shell commands, API calls, AI content generation, and desktop reminders, with flexible cron-based scheduling.

Flashduty Server

Integrates with Flashduty APIs to provide advanced incident management and automation capabilities via the Model Context Protocol (MCP).

Endgame

Provides a cloud platform optimized for AI agents to deploy, test, and self-heal applications.

Tecton

Enables interaction with Tecton clusters, feature store management, and Tecton CLI command execution.