Can I implement long-running tasks with MCP?

Yes, this skill includes patterns for progress notifications that allow your server to send real-time updates to the client while a tool is executing a time-consuming operation.

What is an MCP server?

An MCP (Model Context Protocol) server is a standardized interface that allows AI models like Claude to interact with external tools, databases, and resources safely and consistently.

Which transport methods does this skill support?

This skill provides implementation patterns for both StdioServerTransport, ideal for local CLI usage, and SSEServerTransport, used for web-based server connections.

How do I handle errors in my MCP server?

The skill demonstrates how to use the McpError class and standard ErrorCodes to communicate specific failure states, such as InvalidParams or InternalError, back to the AI assistant.

MCP Server Development Patterns

Name: MCP Server Development Patterns
Author: Naw3

byNaw3

API Development

Streamlines the creation of Model Context Protocol (MCP) servers with standardized patterns for tools, resources, and transport handling.

About

This skill provides a comprehensive blueprint for building Model Context Protocol (MCP) servers, enabling AI assistants to interact seamlessly with external tools, data sources, and resources. It offers production-ready implementation patterns for tool definitions, resource templates, and prompt handling using the MCP SDK. By following these patterns, developers can quickly build robust integrations that feature standardized error handling, progress notifications, and support for both Stdio and SSE transport layers, effectively extending Claude's capabilities to any domain-specific environment.

Key Features

Structured tool implementation patterns with input validation
Dynamic resource templates for exposing complex data structures
Dual transport support for Stdio and SSE (Server-Sent Events)
Built-in error handling patterns using standardized MCP ErrorCodes
Standardized MCP SDK boilerplate for rapid server initialization
0 GitHub stars

Use Cases

Building custom CLI tools that Claude can execute to manage local development environments
Creating dynamic prompt templates to guide AI behavior during specialized tasks
Exposing internal database records as readable resources for AI analysis

About

Key Features

Structured tool implementation patterns with input validation
Dynamic resource templates for exposing complex data structures
Dual transport support for Stdio and SSE (Server-Sent Events)
Built-in error handling patterns using standardized MCP ErrorCodes
Standardized MCP SDK boilerplate for rapid server initialization
0 GitHub stars

Use Cases

Building custom CLI tools that Claude can execute to manage local development environments
Creating dynamic prompt templates to guide AI behavior during specialized tasks
Exposing internal database records as readable resources for AI analysis