shellsage-ai/mcp-server-boilerplate
by Various
Production-ready MCP server templates in TypeScript and Python. Quickstart boilerplate for building Model Context Protocol servers.
MCP
shellsage-ai/mcp-server-boilerplate
Added 1 June 2026
Overview
This repository provides production-ready boilerplate templates for building Model Context Protocol (MCP) servers in TypeScript and Python. It offers a quickstart structure to help developers scaffold MCP servers without starting from scratch.
Best for
Best for
Developers who want a quick, template-based start for building MCP servers in TypeScript or Python.
Use cases
- Scaffolding a new MCP server project in TypeScript or Python
- Learning the standard structure and patterns for MCP server development
- Rapid prototyping of MCP-compatible tools and integrations
Notes
This repository provides production-ready boilerplate templates for building Model Context Protocol (MCP) servers in TypeScript and Python. It offers a quickstart structure to help developers scaffold MCP servers without starting from scratch.
1 stars on GitHub. Last updated 2026-03-06. Licensed MIT.
Use cases
- Scaffolding a new MCP server project in TypeScript or Python
- Learning the standard structure and patterns for MCP server development
- Rapid prototyping of MCP-compatible tools and integrations
Pros
- Provides a clear, production-oriented starting point for MCP servers
- Supports both TypeScript and Python, covering two major ecosystems
- Reduces boilerplate setup time for developers new to MCP
Cons
- Very early stage with only 1 star and limited community validation
- May lack documentation or examples for advanced use cases
- Not actively maintained or updated by a known vendor
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Provides a clear, production-oriented starting point for MCP servers
- Supports both TypeScript and Python, covering two major ecosystems
- Reduces boilerplate setup time for developers new to MCP
Cons
- Very early stage with only 1 star and limited community validation
- May lack documentation or examples for advanced use cases
- Not actively maintained or updated by a known vendor
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