mcp-builder

Name: mcp-builder
Availability: InStock
Author: dascard

Generate TypeScript and Python MCP server project structures with standardized tools.

2|Updated Apr 6, 2026

Search Tags:#typescript #api #integration #python #protocol #mcp #server

Ready to run

npx skills add https://github.com/dascard/nanobot --skill mcp-builder-dascard

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: mcp-builder
Source: https://github.com/dascard/nanobot/tree/main/.agents/skills/mcp-builder
Command: npx skills add https://github.com/dascard/nanobot --skill mcp-builder-dascard

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires @modelcontextprotocol/sdk, zod, mcp, pydantic.

What problem does it solve?

This Skill addresses the complexity of designing, implementing, and testing Model Context Protocol (MCP) servers, ensuring that AI assistants can reliably connect to and interact with external data and capabilities.

Core Features & Use Cases

Standardized Architecture: Provides a clear methodology for structuring TypeScript and Python MCP servers to ensure maintainability.
Robust Tool Design: Offers best practices for naming, parameter validation, and error handling to prevent AI hallucination and tool-call failures.
Testing & Security: Includes strategies for unit testing, integration testing with the MCP Inspector, and implementing security guardrails like input validation and least-privilege access.

Quick Start

Use the mcp-builder skill to generate a project structure and implement a new tool for your MCP server.

Frequently Asked Questions about mcp-builder

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I build a production-grade MCP server with TypeScript or Python?▼

Build production-grade MCP servers by defining standardized structures for tools, resources, and prompts. This facilitates creating robust, secure, and testable interfaces between AI models and external systems while ensuring strict protocol compliance.

What is the best way to structure an MCP server to prevent AI hallucination and tool-call failures?▼

The best way to prevent AI hallucination and tool-call failures is to apply robust tool design best practices, specifically focusing on strict naming conventions, parameter validation, and comprehensive error handling within your MCP server architecture.

Can I use Pydantic and Zod for parameter validation in an MCP server?▼

Yes, you can use Pydantic and Zod for parameter validation in an MCP server. These dependencies provide rigorous input validation needed to enforce security guardrails, ensure protocol compliance, and prevent tool-call failures.

How do I test an MCP server integration using the MCP Inspector?▼

Test an MCP server integration using the MCP Inspector by applying structured integration testing patterns. This verifies that the interfaces between AI models and external systems are robust, secure, and fully compliant with MCP protocol specifications.

What security guardrails do I need to implement when developing a Model Context Protocol server?▼

When developing a Model Context Protocol server, implement security guardrails such as strict input validation using Zod or Pydantic, comprehensive error handling, and least-privilege access to ensure secure interactions between AI models and external systems.