Deployment & DevOps MCPサーバー

AI Infrastructure Agent

142

Manage AWS infrastructure using natural language commands through an intelligent AI-powered system.

1Panel

142

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

DevOps AI Toolkit

140

Enhances software development workflows with AI-powered automation for Kubernetes deployment, documentation testing, and shared prompt management.

OpenAPI

140

Generates MCP tool definitions directly from OpenAPI specifications, enabling AI agents to access APIs described by standard specifications.

Goku

139

Simulates HTTP traffic to benchmark and analyze web service performance.

Gemini-Flow

137

Orchestrates production-ready AI systems, enabling organizations to deploy, manage, and scale AI with real Google API integrations and agent-optimized architecture.

Kom

128

Simplifies Kubernetes operations by providing an SDK-level abstraction of kubectl and client-go, offering easy resource management and MCP server capabilities.

AWS

127

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

PostgreSQL

127

Provides PostgreSQL database management capabilities, assisting with analysis, debugging, schema management, data migration, and monitoring.

K8s Connector

127

Enables interaction with Kubernetes clusters through Model Control Protocol (MCP) tools.

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.

Terraform Registry

119

Enables AI agents to interact with the Terraform Registry API for provider, resource, and module information.

AgentRPC

118

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

Systemprompt Code Orchestrator

116

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

Esp

111

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

Cli

110

Provides fine-grained control over Model Context Protocol (MCP) clients, servers, and tools.

MCP2Lambda

110

Enables Large Language Models to execute AWS Lambda functions as tools via Anthropic's Model Control Protocol (MCP) without code modifications.

Remote Functions

109

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

JFrog

107

Enables interaction with JFrog Platform APIs for repository management, build tracking, and more.

Datadog

104

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