Readability (Fetch & Parse)

APISIX Model Context Protocol (MCP) server is used to bridge large language models (LLMs) with the APISIX Admin API. It aims to enable natural language-based interaction for viewing and managing resources in APISIX through MCP-compatible AI clients.

Integrates with Trade Companion by Adam Mancini on Substack, enabling authenticated article retrieval and content extraction for seamless access within workflows.

Extracts data from TypeScript/JavaScript code into JSON configuration files, facilitating code refactoring and improved maintainability.

Manages configurations for multiple MCP clients across platforms, providing tools to retrieve, list, add, and remove server configurations from client configuration files.

Integrates with WildFly application servers to enable monitoring, configuration, and management of server resources and performance.

Transform how you work with AI by connecting language models to your personal context. Pieces preserves and leverages your history through Long-Term Memory Engine. - On-device workflow capture - Workstream activity tracking - Snippet sharing improvements - IDE plugin enhancements - Live context in browser - Backup and restore - Temporally grounded copilot