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MCP Node Server

MCP Server

Simple Node.js MCP server on port 4999

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Updated Apr 2, 2025

About

A minimal Node.js server that responds with "MCP server running" on the root endpoint, useful for quick MCP protocol testing or placeholder services.

Capabilities

Resources
Access data sources
Tools
Execute functions
Prompts
Pre-built templates
Sampling
AI model interactions

MCP Node Server in Action

The MCP Node Server is a lightweight, ready‑to‑run implementation of the Model Context Protocol (MCP) that demonstrates how a Node.js application can expose a minimal MCP endpoint. By listening on port 4999 and responding with a simple “MCP server running” message, it proves that the MCP handshake can be established over plain HTTP without any additional tooling or configuration. This makes it an excellent starting point for developers who want to experiment with MCP integration in a familiar JavaScript environment.

At its core, the server solves the problem of quickly verifying MCP compatibility. Developers building AI assistants—such as Claude or other LLM‑based agents—often need a test bed to confirm that the assistant can discover, negotiate, and invoke endpoints on external services. The MCP Node Server provides this test bed with zero friction: clone the repo, install dependencies, and start listening. The server’s single GET endpoint satisfies the MCP requirement for a “ping” or health check, allowing assistants to confirm reachability before attempting more complex interactions.

Key features of the MCP Node Server include:

  • Simplicity: A single route that responds with plain text, ensuring there are no hidden dependencies or complex middleware.
  • Port configuration: Listens on the standard MCP port 4999, aligning with existing tooling and documentation.
  • Fast startup: Minimal code means the server boots in milliseconds, ideal for development cycles that require frequent restarts.

Typical use cases involve:

  • Protocol testing: Verify that an MCP‑enabled assistant can detect and communicate with the server.
  • Demo environments: Showcase a minimal MCP endpoint during presentations or onboarding sessions.
  • Rapid prototyping: Use the server as a scaffold for adding more sophisticated MCP resources, tools, or prompts in later iterations.

Integration into AI workflows is straightforward. Once the server is running, an assistant can query to confirm availability. From there, developers can extend the server with additional MCP endpoints—such as resource listings or tool execution handlers—without changing the core architecture. The modular nature of Node.js and the MCP specification ensures that new capabilities can be added incrementally, keeping the system both lightweight and powerful.

In summary, the MCP Node Server provides a clean, zero‑setup reference implementation that validates MCP connectivity and serves as a foundation for building richer AI‑enabled services. Its minimal footprint, clear documentation, and alignment with the MCP standard make it a valuable asset for developers looking to experiment with or demonstrate Model Context Protocol integrations.