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Integrates WildFly application server management with Generative AI capabilities.
Provides unrestricted system access to Windows environments via a command-line interface.
Fetches monitoring data from Datadog using a Python interface.
Provides a Model Context Protocol (MCP) server and REST API for interacting with Harbor container registry.
Centralizes Model Context Protocol (MCP) servers in a home lab environment using Docker, Traefik, and SuperGateway.
Connects Fastly's API to AI assistants through the Model Context Protocol, enabling AI-driven management of Fastly services.
Compose and generate asynchronous API clients and Model Context Protocol (MCP) servers from OpenAPI specifications effortlessly.
Unifies access to multiple mcpservers through a single all-in-one entrance.
Enables AI agents to seamlessly manage and monitor long-running daemons via the Model Context Protocol.
Enables running Model Context Protocol (MCP) stdio servers over Server-Sent Events (SSE) and SSE over stdio, serving as an AI gateway.
Dockerizes the MCP Everything server, providing SSE transport for efficient data streaming.
Deploys a containerized Model Context Protocol server on Amazon EKS, offering a calculator tool for basic arithmetic.
Enables AI agents to request and manage Selenium browser instances through a secure API.
Generates conventional commit messages from staged Git changes.
Connects AI coding assistants to production monitoring tools, enabling direct access to error and performance data for enhanced debugging and analysis.
Provides comprehensive administration and real-time monitoring for self-hosted Supabase instances.
Automates static website generation and deployment, enabling updates directly from a mobile device via natural language commands.
Connects AI clients like VS Code Copilot and Claude Desktop to a powerful web scraping engine via the Model Context Protocol.
Connects AI agents to physical serial devices, enabling programmatic interaction for development, debugging, and automation.
Integrates the WeChat Developer Tools CLI into an MCP service, enabling AI agents within editors to manage mini-program development, testing, debugging, and automation workflows.
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