mcp-ts-template and deno-mcp-template

These are ecosystem siblings—both are scaffolding templates for building MCP servers, differentiated by their runtime choice (TypeScript/Node.js vs. Deno) rather than overlapping functionality.

mcp-ts-template
62
Established
deno-mcp-template
47
Emerging
Maintenance 10/25
Adoption 10/25
Maturity 25/25
Community 17/25
Maintenance 10/25
Adoption 7/25
Maturity 16/25
Community 14/25
Stars: 119
Forks: 20
Downloads:
Commits (30d): 0
Language: TypeScript
License: Apache-2.0
Stars: 29
Forks: 5
Downloads:
Commits (30d): 0
Language: TypeScript
License: MIT
No risk flags
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 deno-mcp-template

phughesmcr/deno-mcp-template

A template repo for writing and publishing local, remote, DXT, and binary MCP servers using Deno.

This is a comprehensive starting point for developers who want to create server-side applications that interact with AI agents using the Model Context Protocol (MCP). It provides a pre-configured server environment with built-in features for handling persistent data, background tasks, and scheduled jobs. Developers can use this template to quickly build and deploy MCP servers that integrate with various AI clients.

AI-agent development Server-side development API development Deno development Software deployment

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