Wikipedia MCP API Server

The Mcp Api Server is a lightweight, high‑performance backbone for building AI‑centric applications. It leverages the ultra‑fast Bun runtime and the ergonomic ElysiaJS framework to expose a fully‑featured Model Context Protocol (MCP) interface, while also providing conventional REST endpoints and real‑time WebSocket support. For developers who need a single, unified entry point to feed context into AI assistants or orchestrate external data sources, this server eliminates the need for custom middleware and simplifies integration across disparate services.

At its core, the server implements the MCP discovery endpoint () and a plugin registry that allows AI agents to discover available tools, resources, and prompts. By exposing these capabilities through a clean, well‑structured API, developers can plug in domain logic—such as prayer time calculations or event registration flows—without touching the AI model itself. The result is a modular architecture where new features can be added as independent modules and automatically advertised to the MCP ecosystem.

Key capabilities include:

• WebSocket event handling for low‑latency, bidirectional communication; useful for real‑time dashboards or interactive chatbots.
• Hot reloading during development, ensuring that changes to logic or configuration are reflected instantly without a full restart.
• Scalable deployment out of the box, with support for popular hosting platforms like Vercel, Railway, and Fly.io that are compatible with Bun.

Typical use cases span from building conversational assistants that pull in live data (e.g., weather, prayer schedules) to orchestrating complex workflows where AI decisions trigger external services such as user registration or notification systems. By integrating MCP, developers can let the AI model request context or perform actions through a standardized protocol, reducing boilerplate and fostering interoperability between multiple AI services.

What sets this server apart is its blend of speed, simplicity, and protocol‑first design. The combination of Bun’s zero‑config performance and ElysiaJS’s minimal API surface means developers can go from idea to production in minutes, while the MCP foundation guarantees that the AI layer remains decoupled and extensible. Whether you’re prototyping a new chatbot feature or scaling a production‑grade AI platform, the Mcp Api Server provides the infrastructure that keeps your code clean and your AI interactions consistent.