mcp-ts-template and mcp-starter

These two tools are competitors, with "cyanheads/mcp-ts-template" offering a more feature-rich, opinionated, and modern TypeScript-based scaffolding with observability and advanced storage options, while "instructa/mcp-starter" provides a minimalist starting point for building an MCP server.

mcp-ts-template
62
Established
mcp-starter
41
Emerging
Maintenance 10/25
Adoption 10/25
Maturity 25/25
Community 17/25
Maintenance 2/25
Adoption 7/25
Maturity 15/25
Community 17/25
Stars: 119
Forks: 20
Downloads:
Commits (30d): 0
Language: TypeScript
License: Apache-2.0
Stars: 35
Forks: 11
Downloads:
Commits (30d): 0
Language: TypeScript
License: MIT
No risk flags
Stale 6m No Package No Dependents

About mcp-ts-template

cyanheads/mcp-ts-template

TypeScript template for building Model Context Protocol (MCP) servers. Ships with declarative tools/resources, pluggable auth, multi-backend storage, OpenTelemetry observability, and first-class support for both local and edge (Cloudflare Workers) runtimes.

This project helps developers build specialized backend servers that integrate with AI agents. You provide descriptions of 'tools' that an agent can use, along with their inputs and outputs. The project then generates a fully functional server, handling all the underlying infrastructure like data storage, authentication, and logging. It's designed for developers creating custom AI agent capabilities, rather than end-users interacting with AI directly.

backend-development AI-agent-integration server-framework developer-tools microservices

About mcp-starter

instructa/mcp-starter

A super simple Starter to build your own MCP Server

This project helps developers quickly set up their own Model Context Protocol (MCP) server. It provides a basic structure to integrate local development tools like Cursor AI or Claude with the MCP standard. Developers can use this starter to create a server that processes inputs from an MCP-compatible client and outputs the results of their custom tools.

AI-tool-integration developer-workflow custom-AI-server protocol-implementation

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