Deployment & DevOps MCP Servers

Remote PostgreSQL Database

156

Enables conversational interaction with a PostgreSQL database, deployable as a remote MCP server with GitHub OAuth through Cloudflare.

K8s

156

Securely executes Kubernetes commands from AI assistants like Claude by acting as a Model Context Protocol (MCP) server.

AWS Automation

148

Enables AI assistants to execute AWS CLI commands in a secure, containerized environment using the Model Context Protocol (MCP).

Goku

138

Simulates HTTP traffic to benchmark and analyze web service performance.

1Panel

136

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

Proxmox Manager

134

Manage Proxmox hypervisors through a Model Context Protocol server, providing a clean interface for nodes, VMs, and containers.

Spotinfo

132

Explore AWS EC2 Spot instance types, savings, prices, and interruption frequencies for optimal cloud resource selection.

GCP

131

Enables AI assistants to interact with and manage Google Cloud Platform resources using natural language.

AWS

123

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

Test Client

122

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

Kom

122

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

Terraform Registry

117

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

Shell Command Executor

114

Executes whitelisted shell commands remotely with standard input support.

OpenAPI

114

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

Cli

112

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

K8s Connector

111

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

Dynatrace

110

Enables interaction with the Dynatrace observability platform directly within development workflows.

AgentRPC

108

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

MCP2Lambda

106

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

JFrog

105

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