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MCP Server Runner

MCP Server

WebSocket bridge for Model Context Protocol servers

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Updated Dec 26, 2024

About

MCP Server Runner launches and manages MCP server processes, exposing them over WebSocket for easy integration with web applications. It handles bidirectional communication, graceful shutdowns, and error logging in a cross‑platform Rust implementation.

Capabilities

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

Overview

The Yonaka15 MCP Server Runner is a lightweight, cross‑platform bridge that exposes any Model Context Protocol (MCP) server over a WebSocket interface. By launching the MCP executable as a child process and forwarding all incoming WebSocket frames to it—and vice versa—the runner turns a command‑line MCP implementation into an easily consumable network service. This solves the common pain point of integrating MCP servers with web‑based AI assistants, which often rely on HTTP or WebSocket APIs for real‑time interaction.

For developers building AI assistants that need to tap into external tools, the runner removes the need for custom adapters or rewrites of existing MCP binaries. It handles process lifecycle, including graceful termination and error propagation, while maintaining a single‑client WebSocket session. This makes it ideal for prototyping or staging environments where a quick, reliable MCP endpoint is required without the overhead of container orchestration or elaborate network plumbing.

Key capabilities include:

  • Process management – the runner starts, monitors, and restarts the MCP server as needed.
  • Bidirectional message passing – all WebSocket frames are streamed directly to the MCP process’s stdin/stdout, preserving the native MCP protocol flow.
  • Graceful shutdown – cleanly terminates both the WebSocket connection and the underlying MCP process on client disconnect or system signals.
  • Cross‑platform support – works on Unix and Windows with minimal configuration.
  • Environment‑driven configuration – the executable path, arguments, host, and port are all set via environment variables, allowing easy deployment in CI/CD pipelines or containerized setups.

Typical use cases include:

  • Web‑based AI assistants that require a live MCP endpoint for tool invocation or context management.
  • Rapid prototyping of new MCP servers, where developers can expose the server over WebSocket without modifying the core code.
  • Integration testing of MCP clients, using the runner to simulate a networked server environment.
  • Hybrid deployments, where a cloud‑hosted MCP binary is exposed to local front‑ends through the runner, enabling secure, isolated communication.

The standout advantage of Yonaka15’s MCP Server Runner is its minimalism: no extra dependencies beyond Rust’s standard library, a single‑client focus that guarantees deterministic behavior, and an environment‑based configuration that aligns perfectly with modern DevOps practices. By abstracting the intricacies of process and WebSocket management, it lets developers concentrate on building richer AI workflows that leverage MCP’s powerful context capabilities.