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boot-mcp

boot-mcp

Local
github.com/kirklinDeveloper Tools3Updated 82w ago

About boot-mcp

boot-mcp is a TypeScript starter template for developers building MCP applications. It includes server examples and components for resources, tools, prompts, Roots, transports, and experimental Sampling, covering both STDIO and HTTP/SSE.

Key features

  1. 01STDIO and HTTP/SSE examples
  2. 02Text and binary resource support
  3. 03Tool and prompt examples
  4. 04Roots management and URI validation
  5. 05Experimental Sampling examples

Use cases

  1. 01Starting a TypeScript MCP server project
  2. 02Referencing STDIO and HTTP/SSE transport implementations
  3. 03Building a server with resources and tools
  4. 04Exploring Sampling and agent workflows

MCP support

The template includes MCP server implementations demonstrating resources, tools, prompts, Roots, and Sampling, with STDIO and HTTP/SSE transport options.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

No install method listed yet

We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.

Repository

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

boot-mcp

npm version npm downloads bundle JSDocs License javascript_code style

A comprehensive starter template for building Model Context Protocol (MCP) applications with TypeScript.

What is MCP?

The Model Context Protocol (MCP) lets you build servers that expose data and functionality to LLM applications in a secure, standardized way. Think of it like a web API, but specifically designed for LLM interactions. MCP servers can:

  • Expose data through Resources (think of these sort of like GET endpoints; they are used to load information into the LLM's context)
  • Provide functionality through Tools (sort of like POST endpoints; they are used to execute code or otherwise produce a side effect)
  • Define interaction patterns through Prompts (reusable templates for LLM interactions)
  • Set boundaries with Roots (defining the operational scope for servers)
  • Enable agent behaviors with Sampling (allowing servers to request completions from LLMs)
  • Establish connections via Transports (communication mechanisms between clients and servers)

Installation

# npm
npm install

# pnpm
pnpm install

# yarn
yarn install

Quick Start

This template includes examples of MCP servers with different transports:

  • Stdio transport (for command-line tools and direct integrations)
  • HTTP with SSE transport (for remote servers)
Running the Example Server
# Start the stdio server
pnpm start:basic

# Start the HTTP server
pnpm start:http

Project Structure

boot-mcp/
├── src/
│   ├── index.ts          # Main entry point
│   ├── server/           # MCP server implementations
│   │   ├── basic.ts      # Basic server with common functionality
│   │   └── http.ts       # HTTP with SSE transport server
│   ├── resources/        # Resource implementations
│   │   └── index.ts      # Common resource types and utilities
│   ├── tools/            # Tool implementations
│   │   └── index.ts      # Various tools organized by category
│   ├── prompts/          # Prompt implementations
│   │   └── index.ts      # Common prompt templates and workflows
│   ├── roots/            # Root management
│   │   └── index.ts      # Root definition and utilities
│   ├── transports/       # Transport implementations
│   │   └── index.ts      # Stdio and HTTP/SSE transports
│   └── sampling/         # Sampling utilities (experimental)
│       └── index.ts      # LLM sampling capabilities
├── examples/             # Example usage
│   ├── basic-server.ts   # Basic stdio server example
│   └── http-server.ts    # HTTP server example
└── test/                 # Tests

Features

Resources
  • Text and binary resource support
  • Dynamic resource templates with parameters
  • Standard resource types (files, system info, etc.)
  • Resource content helpers
Tools
  • System operation tools (execute commands, read files, etc.)
  • Data processing tools (JSON parsing, CSV analysis, etc.)
  • Utility tools (random generators, string transformations, etc.)
  • Calculator and basic tools
Prompts
  • Simple greeting and text processing prompts
  • Code review prompts with language detection
  • Multi-step debugging workflows
  • Resource-based prompt templates
Roots
  • File system root management
  • URI validation and filtering
  • Standard root templates
Transports
  • Stdio transport for terminal applications
  • HTTP/SSE transport for web applications
  • Unified configuration interface
Sampling (Experimental)
  • Text completion requests
  • Conversation-based sampling
  • Model preference controls
  • Agent workflow examples

License

MIT License © Kirk Lin

Comments

Markdown supported

New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.