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Manages Alibaba Cloud Realtime Compute for Apache Flink resources through a standardized Model Context Protocol (MCP) interface.
Exposes tools for interacting with an MCP registry server.
Manages multiple development servers with a unified interface and TUI, enabling programmatic control.
Transforms any Python library or code into a robust, scalable, and production-ready API with automatic service discovery.
Provides enterprise-grade security analysis with dynamic rule management and hot-reload capabilities.
Automates and monitors code builds for any project by watching for code changes, triggering builds, managing concurrency, and capturing logs.
Manages Huawei Cloud Container Engine (CCE) clusters and Kubernetes resources through a unified interface.
Integrates with Apache Ambari to provide comprehensive management of Hadoop clusters, encompassing service operations, configuration, and monitoring.
Enables AI assistants to seamlessly interact with ZetaChain blockchain development tools, Foundry, and cross-chain functionalities.
Automates AI-powered Kubernetes cluster remediation and GitOps operations through a lean, containerized REST API, designed for orchestration by external systems like N8N.
Automate interactions with Gradle projects using the Gradle Wrapper through a Model Context Protocol server.
Provides a collection of plugins, tools, and an AI agent for building robust HTTP MCP servers with the Golang SDK.
Provides a custom Databricks server to test Model Context Protocol (MCP) integrations and On-Behalf-Of (OBO) authentication.
Demonstrates RESTful CRUD operations and Object-Relational Mapping (ORM) for JSON objects using the Gilhari microservice framework.
Manages Redfish-enabled servers using an AI-powered natural language interface and Model Context Protocol.
Integrates Cumulocity IoT platform data with AI agents, enabling AI-powered device management, data analysis, and operational insights.
Secures code across the entire Software Development Life Cycle (SDLC) using a combination of static analysis, dynamic analysis, and agentic AI to deliver accurate security insights.
Deploys the MiniMind Large Language Model as an all-in-one Docker solution, offering a web UI, an OpenAI-compatible API, and Model Context Protocol (MCP) support.
Provides a flexible, unified server architecture for hosting and exposing diverse Model Context Protocol (MCP) tools through independent endpoints.
Enables AI agents to deploy production APIs rapidly from a JSON schema without writing backend code or managing infrastructure.
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