Seth Rose MCP Server Starter

A Model Context Protocol server starter template

typescript

32

GitHub Stars

typescript

Language

6 months ago

First Indexed

2 months ago

Catalog Refreshed

Documentation & install

Readme and setup notes from the catalogue, plus a client-ready config you can copy for your MCP host.

Installation

Add the following to your MCP client configuration file.

Configuration

View docs

{
  "mcpServers": {
    "thesethrose-mcp-server-starter": {
      "command": "npx",
      "args": [
        "-y",
        "@smithery/cli@latest",
        "run",
        "mcp-server-template",
        "--config",
        "{}"
      ]
    }
  }
}

The Model Context Protocol (MCP) lets you expose data sources, tools, and computational logic to AI hosts in a standardized way. By building an MCP server in TypeScript, you enable supported clients to discover and safely use your tools, without writing bespoke integrations for each host. This guide shows you how to use, install, and extend an MCP server so AI agents can query data or execute actions through well-defined interfaces.

How to use

You connect an MCP server to an MCP client (for example Claude, Cursor, Windsurf, Cline, or a TypeScript-based host). The client makes requests to your server to query data or run tools. Your server defines tools with clear input schemas and returns structured responses. With streaming enabled, long-running tasks can push results gradually to the client.

To use your server effectively, expose a small set of well-documented tools that cover common tasks, validate all inputs, and return consistently formatted content. Clients will call these tools by name, supply the required parameters, and receive text, code, or other content types in a predictable format.

How to install

Prerequisites you need before starting:

Node.js (v18 or later) for a modern JavaScript runtime
npm (v7 or later) for package management
VS Code with the Dev Containers extension to spin up a reproducible development environment

# Prerequisites check (adjust versions as needed)
node -v
npm -v

# 1. Install dependencies for the MCP server template
npm install

# 2. Build the project to generate runtime JavaScript
npm run build

# 3. Run the server via Smithery CLI (example configuration)
# This starts an MCP server configured by the template
npx -y @smithery/cli@latest run mcp-server-template --config "{}"

Configuration, security, and best practices

Security and reliability are essential when exposing tools to AI hosts. Use strict input validation, clear error handling, and safe resource management. Enable streaming only when you need progressive results and support proper timeouts for long-running tasks.

Key practices include validating inputs with schema validation, sanitizing data, not leaking internal errors, and using environment variables for sensitive configuration. Provide well-documented tool interfaces, and implement cleanups on termination signals.

Transport options include stdio for local process communication and WebSocket for network-based access. You can also define custom transports if you have a unique hosting scenario.

Available tools

calculator

Calculator tool example that performs arithmetic operations and returns results as structured content.

rest_api

REST API tool example that demonstrates querying an external REST service and returning formatted results.

secure_tool

Secure tool example showing input validation, rate limiting, error handling, and safe responses.

stream_data

Streaming data tool that yields content chunks over time to support long-running tasks.

async_operation

Asynchronous operation tool that starts, waits for completion, and returns the final result.