D0UGWITHSEISMIC/WITHSEISMIC-MCP

A production-ready MCP server template for hosting your own AI tools and prompts. Deploy remotely or run locally - built for developers who want to expose their tools to AI models without the infrastructure headaches.

://WHO_IS_THIS_FOR?

This template is perfect for:

• AI Tool Developers: Build and host your own tools that AI models can interact with

• Teams & Organizations: Set up a shared MCP server for your AI applications

• Individual Developers: Quick-start your MCP development with a production-ready setup

• API Providers: Expose your services to AI models through a standardized interface

Whether you want to:

• 🌐 Host a remote MCP server that multiple clients can connect to

• 🔧 Run locally via stdio for development and testing

• 🚀 Deploy a production-ready MCP implementation

• 🛠️ Build tools without worrying about infrastructure

This template provides everything you need to get started.

://OVERVIEW

The MCP server provides two ways to expose your tools to AI models:

1. Remote Server Mode (SSE): Deploy as a remote server that multiple clients can connect to

   • Perfect for production deployments (pnpm start:sse)

   • Supports multiple simultaneous connections

   • Easy deployment to platforms like Railway

   • Secure and scalable

2. Local Mode (stdio): Run locally for development and testing (pnpm start)

   • Great for local development

   • Direct stdio communication

   • Fast iteration and debugging

Key Features:

• Tools: Executable functions that models can call

• Prompts: Template-based message generators

• Auto-Discovery: Automatic registration of your components

• Type Safety: Full TypeScript support throughout

://WHY_USE_THIS_MCP_SERVER_TEMPLATE?

While the Model Context Protocol (MCP) is in its early stages, one thing is clear: rapid adoption requires frictionless development. This implementation is built with a singular focus: letting developers focus on building great tools, not infrastructure.

INSTANT_DEPLOYMENT

ZERO_FRICTION_DEVELOPMENT

• No Boilerplate: Define your tool, import it, and you're done. We handle the rest.

• Auto-Registration: Tools and prompts are automatically discovered and registered.

• Type Safety: Full TypeScript support with zero configuration.

BATTLE_TESTED_ARCHITECTURE

• Production Ready: Built for reliability and performance.

• Scalable Design: From simple tools to complex AI interactions.

• Error Resilient: Robust error handling and debugging built-in.

DEVELOPER_EXPERIENCE_FIRST

We handle:

• ⚡ Connection management

• 🔄 Tool registration

• 🛡️ Input validation

• 📦 State management

• 🚨 Error handling

• 📊 Logging and metrics

You focus on:

• 🎯 Building amazing tools

• 🧠 Creating powerful prompts

• 🚀 Shipping features

://GETTING_STARTED

INSTALLATION

RUNNING_THE_SERVER

Two modes are available:

1. Standard mode (stdio):

2. SSE (Server-Sent Events) mode:

When running in SSE mode, connect to: http://localhost:3001/sse

://CORE_CONCEPTS

TOOLS

Tools are executable functions that models can invoke. Each tool:

• Has defined input/output schemas using Zod

• Is automatically registered with the registry

• Can perform any operation (calculation, file I/O, API calls, etc.)

Example tool:

PROMPTS

Prompts are message generators that help structure model interactions. Each prompt:

• Defines its argument schema

• Generates messages in a consistent format

• Is automatically registered with the registry

Example prompt:

://ADDING_NEW_COMPONENTS

Creating a New Tool

1. Create a new file in src/modules/tools/

2. Define your input/output schemas using Zod

3. Create and export your tool instance

4. Add the export to src/modules/tools/index.ts

The registry will automatically:

• Register your tool

• Make it available to models

• Handle validation and error handling

Creating a New Prompt

1. Create a new file in src/modules/prompts/

2. Define your argument schema

3. Create and export your prompt instance

4. Add the export to src/modules/prompts/index.ts

The registry will automatically:

• Register your prompt

• Make it available to models

• Handle message generation and errors

Architecture

Core Components

• Registry: Central manager for all tools and prompts

• Tool: Base class for executable functions

• Prompt: Base class for message generators

• Server: MCP protocol implementation

Auto-Registration

The system uses a singleton Registry pattern that:

1. Automatically registers tools and prompts on import

2. Provides type-safe access to components

3. Handles all MCP protocol interactions

Error Handling

The system includes robust error handling:

• Type validation via Zod schemas

• Execution error wrapping

• Detailed error messages for debugging

Development

Type Safety

All components use TypeScript for full type safety:

• Input/output schemas are defined using Zod

• Type inference for tool arguments and results

• Comprehensive error types

Testing

Run tests using:

Best Practices

1. Always define clear input/output schemas

2. Use descriptive names and documentation

3. Handle errors gracefully

4. Follow the TypeScript guidelines in the codebase

://CONTRIBUTING

We welcome contributions! Please see our Contributing Guide for details on:

• Development workflow

• Code style guidelines

• Pull request process

• Issue reporting

Join our Discord community to connect with other contributors!

://SUPPORT

• 📫 Email: hello@withseismic.com

• 💬 Discord: Join our server

://LICENSE

This project is licensed under the MIT License - see the LICENSE file for details.

© 2025 Doug, at WithSeismic dot com.