Deployment & DevOps MCP Servers

Tekton Model Context Protocol

Implements a Model Context Protocol server for Tekton.

MCP Hub

Framework to simplify building, managing, and deploying Model Context Protocol (MCP) clients and servers.

GitHub Enterprise

Enables file operations, repository management, and search functionality for GitHub Enterprise APIs.

SuzieQ

Enables language models to interact with SuzieQ network observability instances via its REST API.

Gitops Lab

Provides a GitOps playground for experimenting with Kubernetes, Terraform, Argo CD, and related technologies.

Unbundle OpenAPI

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

Executable

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

Nmap Integration

Provides a server-side interface for running and managing Nmap scans.

Globalping

Enables AI models to interact with a global network measurement platform through natural language.

OCI Registry

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

Cs2 Rcon

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

DeployStack

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

Devcontainers

Integrates Model Context Protocol (MCP) with the devcontainers CLI for managing development environments.

Mcpsshclient

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

Princefishthrower

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

Vulnerability Intelligence

Integrates comprehensive security vulnerability intelligence into development workflows.

Cribl

Enables AI interactions with the Cribl API by providing a Model Context Protocol (MCP) server.

Sentry

Enables AI agents to access and analyze Sentry error data through a Modern Context Protocol (MCP) server.

Serve

Run and serve deep learning models with shell execution and containerization options.

N8n

Enables AI agents to interact with n8n workflows using natural language via a Model Context Protocol (MCP) server.