MCP Runner
M

MCP Runner

mcp-runner is a TypeScript SDK and CLI tool for running MCP servers, supporting server process reuse and lifecycle management, and can be called through the command line or programmatically.
2 points
6.9K

What is mcp-runner?

mcp-runner is a tool that helps developers easily run and manage MCP (Model Context Protocol) servers. It can be used as a command-line tool or integrated into your TypeScript project. Manage different AI model services through configuration files to achieve server process reuse and automated management.

How to use mcp-runner?

You can start AI services through simple command-line instructions or call the API in your code to interact with the model. The tool will automatically handle the startup, reuse, and shutdown of server processes.

Use cases

Suitable for development scenarios that require frequent calls to different AI model services, especially when you need to: - Quickly test multiple AI services - Integrate AI capabilities into your application - Manage the complex lifecycle of model services

Main features

Process reuse
Automatically reuse server processes to avoid the overhead of repeated startups and improve the efficiency of multiple calls.
Automatic management
Intelligently manage the server lifecycle, including startup, health checks, and graceful shutdown.
Multi-interface support
Provide both a command-line interface (CLI) and a programming interface (API) to meet different usage needs.
Robust error handling
Complete error handling and timeout mechanisms to ensure service stability.
Advantages
Simplify the integration and management process of AI model services.
Significantly improve the performance of multiple calls through process reuse.
Unified interface specifications reduce the learning cost of different AI services.
Complete error handling and automatic recovery mechanisms.
Limitations
Currently only supports the TypeScript/JavaScript ecosystem.
Requires pre-configuration of service information, with a certain learning cost.
Limited support for services that do not use the MCP protocol.

How to use

Install the toolkit
Install mcp-runner to your project via npm.
Configure service information
Configure the information of the AI services you need to use in cline_mcp_settings.json.
Command-line call
Interact with the service through the CLI tool, supporting querying available tools and performing operations.
Programming call
Import the toolkit in your code and interact with the service through the API.

Usage examples

Get AI-generated sequential thinking
Use the sequential-thinking server for multi-step reasoning.
Call OpenRouter's chat interface
Have a conversation with the AI through the openrouterai server.

Frequently asked questions

How do I know which servers are available?
Will the server process be automatically shut down?
How do I only get the text content of the response?

Related resources

MCP protocol documentation
Understand the technical details of the MCP protocol.
GitHub repository
Get the source code and submit issues.
Example project
View a complete example of using mcp-runner.

Installation

Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.

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