What is an MCP server?

An MCP (Model Context Protocol) server is a bridge that allows Large Language Models like Claude to securely interact with external data sources, APIs, and local tools.

What is the recommended transport mechanism?

For local development and integrations, stdio is recommended. For remote services, streamable HTTP is the preferred transport protocol.

Does this skill support both Python and TypeScript?

Yes, mcp-builder provides specific implementation patterns for both TypeScript using the official MCP SDK and Python using FastMCP.

Why are tool annotations important in MCP?

Annotations like readOnly, destructive, and idempotent help the LLM understand the risk and impact of a tool call before executing it, improving safety and reliability.

How do I test my MCP server implementation?

The skill guides you through using the @modelcontextprotocol/inspector for TypeScript and standard compiler checks for Python to ensure protocol compliance.

MCP Server Builder

Name: MCP Server Builder
Author: plurigrid

byplurigrid

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API Development

Builds high-quality Model Context Protocol (MCP) servers to enable seamless LLM interaction with external APIs and services.

The mcp-builder skill provides a comprehensive framework for developing Model Context Protocol (MCP) servers using TypeScript or Python. It guides developers through the entire lifecycle of tool creation—from initial research and sitemap analysis to implementation using structured schemas and final evaluation. By emphasizing best practices like descriptive tool prefixes, actionable error handling, and standardized transport mechanisms, it ensures that LLMs can reliably interact with external software ecosystems through well-defined, type-safe interfaces.

Key Features

01Standardized MCP server implementation patterns for TypeScript and Python

02Advanced tool design guidance using Zod and Pydantic schemas

03Integrated testing and inspection workflows with the MCP Inspector

04Support for tool annotations including read-only, destructive, and idempotent hints

05Automated evaluation generation for testing complex, realistic agent scenarios

067 GitHub stars

Use Cases

01Developing secure wrappers for external SaaS platforms like GitHub or Slack

02Integrating internal company APIs into a Claude-based AI assistant

03Building custom database connectors for real-time AI data retrieval

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add plurigrid/asi mcp-builder

For use in Claude.ai and ChatGPT

Download Skill