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Implements a Model Context Protocol (MCP) server for Kubernetes and OpenShift, enabling seamless interaction and management of Kubernetes resources.
Enables AI assistants to manage and operate Terraform environments through the Model Context Protocol (MCP).
Deploys HTML content to EdgeOne Pages and provides a publicly accessible URL.
Enables AI assistants to query and analyze Prometheus metrics through standardized Model Context Protocol (MCP) interfaces.
Manage Docker containers and compose stacks through natural language with Claude AI.
Connects to Kubernetes, providing a Model Context Protocol (MCP) server for interacting with Kubernetes resources.
Enables agentic AI workflows for developers using Docker containers and Markdown prompts.
Enables AI assistants to securely interact with Azure DevOps through a standardized protocol.
Manages the lifecycle of plugins for the Dify API server, supporting local, debug, and serverless runtimes.
Automates the creation and validation of FedRAMP Security Authorization Packages using NIST's OSCAL standard.
Manage, govern, and optimize third-party API consumption across applications and AI agent workloads at scale.
Orchestrates production-ready AI systems, enabling organizations to deploy, manage, and scale AI with real Google API integrations and agent-optimized architecture.
Enables AI assistants to interact with Argo CD applications and resources through natural language.
Enables AI assistants in Cursor, VS Code, Claude Code, or any MCP-enabled IDE to autonomously manage Home Assistant configurations, automations, dashboards, and themes using natural language.
Streamline the deployment of applications and management of multi-cloud infrastructure for both AI agents and humans.
Enhances AI agents and integrated development environments with an open-core, self-improving context compression and code search suite.
Provides an architectural intelligence layer for AI coding agents, offering structural graph analysis, architecture governance, and multi-agent orchestration.
Indexes local codebases for hybrid semantic search, polyglot code dependency graphs, and searchable context artifacts, offering zero-config, private, and Docker-powered AI code intelligence.
Orchestrates a unified, open-source control plane for AI agent traffic, enabling centralized authentication, routing, and observability for various clients and servers.
Empowers AI agents to manage the entire iOS development lifecycle, from building and testing to App Store submission.
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