Why is Content-Length framing emphasized in this skill?

Content-Length framing is the standard for LSP-style communication. Using it ensures full compatibility with clients like Claude Desktop and prevents framing errors during tool execution.

Can I use this for non-Unity MCP servers?

Absolutely. While it contains Unity patterns, the core architecture, transport layer logic, and handler patterns are applicable to any TypeScript-based MCP server project.

What is the primary purpose of the MCP Server Development skill?

It provides expert guidance and standardized code patterns for building servers that follow the Model Context Protocol (MCP), allowing AI models like Claude to interact with external tools and data sources.

How does the skill handle tool input validation?

The skill mandates using Zod schemas within tool handlers to ensure all client inputs are strictly validated and self-documenting before the business logic is executed.

Does this skill support Unity-specific development?

Yes, it includes specialized patterns for Unity communication, including command protocols, workspace root resolution, and handlers for game object manipulation.

MCP Server Development

Name: MCP Server Development
Author: akiojin

byakiojin

Desarrollo de API

Simplifies the creation of robust Model Context Protocol (MCP) servers using TypeScript, standardized handlers, and schema-driven validation.

Acerca de

This skill provides an expert framework for developing high-performance MCP servers that bridge AI assistants with external environments, with a specialized focus on Unity integrations. It emphasizes a modular handler-based architecture, strict protocol compliance with JSON-RPC 2.0, and robust input validation using Zod. By providing patterns for content-length framing, structured error handling, and automated release workflows, it ensures developers can build reliable, discoverable, and performant tools for any MCP-compliant client.

Características Principales

0 GitHub stars
Standardized handler-based architecture for modular tool implementation
Hybrid transport support for Content-Length and NDJSON framing
Strict input validation using Zod schemas to ensure tool reliability
Comprehensive error handling following JSON-RPC 2.0 specifications
Unity-specific command protocols and workspace resolution patterns

Casos de Uso

Developing Unity-specific AI tools for scene manipulation and game object management
Building custom MCP servers to connect AI agents to local software or private APIs
Standardizing existing toolsets into a compliant and discoverable MCP architecture

Acerca de

Características Principales

0 GitHub stars
Standardized handler-based architecture for modular tool implementation
Hybrid transport support for Content-Length and NDJSON framing
Strict input validation using Zod schemas to ensure tool reliability
Comprehensive error handling following JSON-RPC 2.0 specifications
Unity-specific command protocols and workspace resolution patterns

Casos de Uso

Developing Unity-specific AI tools for scene manipulation and game object management
Building custom MCP servers to connect AI agents to local software or private APIs
Standardizing existing toolsets into a compliant and discoverable MCP architecture