Deployment & DevOps MCP 服务器

DeployStack

Simplifies the deployment of Model Context Protocol (MCP) servers by providing a purpose-built CI/CD platform.

OCI Registry

Provides an MCP server for querying OCI registries and image references.

Resource Hub

Proxies communication between a local MCP environment and a central Resource Hub for configuration and management.

Cs2 Rcon

Manages Counter-Strike 2 game servers remotely through a Model Context Protocol (MCP) server interface.

Email Docker

Enables sending email notifications via SMTP using the Model Context Protocol.

Discovery Action

Automates the discovery of MCP server capabilities and generates formatted documentation.

Unbundle OpenAPI

Unbundles large OpenAPI specifications by splitting them into multiple files or extracting specific endpoints into a new file.

PagerDuty

Exposes PagerDuty API functionality for use by Large Language Models.

AWS CLI

Enables execution of AWS CLI commands directly from Claude.

pfSense

Enables security administrators to manage their pfSense firewalls using natural language through AI assistants.

Helm

Enables AI assistants to interact with Helm repositories and charts by providing a standardized way to access chart information and values.

Tempo

Enables AI assistants to query and analyze distributed tracing data from Grafana Tempo.

Mcpsshclient

Executes SSH commands with an agentic security layer to detect and prevent unsafe operations.

Multicluster

Provides a gateway for GenAI systems to interact with multiple Kubernetes clusters via the Model Context Protocol (MCP).

Princefishthrower

Provides a custom server with tools for generating prompts, issuing commands, listing repositories, and running tests.

GitLab Integration

Integrates with GitLab to provide RESTful API tools for managing users, projects, merge requests, and more.

Logchef

Connects AI assistants to Logchef, enabling natural language interaction for log management and analysis.

SonarQube Metrics

Retrieves SonarQube project quality metrics programmatically via the FastMCP framework.

Agentman

Simplifies AI agent development through a Docker-like interface for building, managing, and deploying agents using the Model Context Protocol.

NetBrain

Integrates large language models with network devices via a standardized protocol to facilitate network configuration, diagnostics, and management.