Deployment & DevOps MCPサーバー

AgentRPC

127

Connect functions across different languages and network boundaries to AI agents.

Datadog

137

Integrate with the Datadog API to manage incidents, monitors, logs, dashboards, metrics, traces, and hosts.

Apache Airflow

141

Standardizes interaction with Apache Airflow via the Model Context Protocol (MCP).

1Panel

142

Enables interaction with the 1Panel platform via the Model Context Protocol (MCP).

AWS

128

Enables operations on AWS resources, including S3 and DynamoDB, through the Model Context Protocol.

NetBox

122

Enables interaction with NetBox data via Large Language Models (LLMs) using the Model Context Protocol (MCP).

Esp

135

Build simple projects with logging and automatically fix issues based on logs for esp-idf build commands.

Portainer

121

Exposes Portainer environment data through the Model Context Protocol (MCP), enabling AI assistants to interact with containerized infrastructure.

Filesystem

133

Enables efficient handling of filesystem operations through a fast and asynchronous MCP server.

VictoriaMetrics

127

Enables seamless integration of VictoriaMetrics with Model Context Protocol (MCP) clients for enhanced monitoring, observability, and debugging.

Test Client

124

Facilitates the development and testing of MCP servers by acting as both a server for Claude and a client for servers under test.

Remote Functions

122

Deploys a custom remote server to the cloud using Azure Functions for use with the Model Context Protocol.

Executable

132

Packages an Express server and the MCP SDK into an executable file.

Systemprompt Code Orchestrator

139

Orchestrates AI coding agents like Claude Code CLI and Gemini CLI to automate and manage complex coding tasks.

PAIML Agent Toolkit

132

Generates AI-optimized context for code analysis and enforces extreme quality standards to make agentic code more deterministic.

Apache Spark History

132

Enables AI agents to connect with Apache Spark History Servers for intelligent job analysis and performance monitoring.

Turbo Flow Claude

124

Deploy intelligent multi-agent swarms and coordinate autonomous workflows in an advanced agentic development environment.

Code Executor

127

Orchestrates multiple MCP tools on-demand, drastically reducing token usage for AI agent contexts.

Workspace

122

Offers a unified AI development environment providing file operations, code execution, web deployment, data processing, and image generation for comprehensive agent capabilities.

KSail

138

Simplifies Kubernetes cluster creation, maintenance, and operation across various distributions and providers through a single CLI.