boot-mcp
@kirklin
About boot-mcp
A starter template for building Model Context Protocol (MCP) applications with TypeScript
Basic information
Config
No standard config provided
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RepositoryTools
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Overview
What is boot-mcp?
boot-mcp is a comprehensive starter template for building Model Context Protocol (MCP) applications using TypeScript. It provides pre-built implementations for resources, tools, prompts, roots, transports, and sampling, enabling developers to quickly create MCP servers that expose data and functionality to LLM applications.
How to use boot-mcp?
Install dependencies with npm install, pnpm install, or yarn install. Run the stdio server example with pnpm start:basic or the HTTP/SSE server with pnpm start:http. The project structure includes src/ for implementations and examples/ for ready-to-run servers.
Key features of boot-mcp
- Resources with text/binary support and dynamic templates
- System, data processing, and utility tools
- Prompts for greeting, code review, and debugging workflows
- File system root management with URI validation
- Stdio and HTTP/SSE transport implementations
- Experimental sampling for LLM agent behaviors
Use cases of boot-mcp
- Expose files or system information as resources for LLM context
- Provide executable tools like command execution or data analysis
- Create reusable prompt templates for common LLM interactions
- Define operational boundaries using roots in MCP servers
- Build both local command-line and remote HTTP-based MCP servers
FAQ from boot-mcp
What is the Model Context Protocol (MCP)?
MCP is a standardized way to build servers that expose data and functionality to LLM applications, similar to a web API but designed specifically for LLM interactions.
What transports does boot-mcp support?
boot-mcp includes stdio transport for command-line tools and direct integrations, and HTTP with SSE transport for remote servers.
Are there example servers included?
Yes, the examples/ directory contains a basic stdio server (basic-server.ts) and an HTTP server (http-server.ts).
Is the sampling feature stable?
No, sampling is labeled as experimental in this template.
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