mcp-builder

Create Model Context Protocol servers for TypeScript and Python with tool validation.

Updated Dec 29, 2025

Search Tags:#automation #api #integration #llm #mcp #tools

Ready to run

npx skills add https://github.com/AmidVoshakul/chatorai --skill mcp-builder-amidvoshakul

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: mcp-builder
Source: https://github.com/AmidVoshakul/chatorai/tree/main/assets/skills/mcp-builder
Command: npx skills add https://github.com/AmidVoshakul/chatorai --skill mcp-builder-amidvoshakul

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires anthropic, mcp, pydantic, httpx, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill addresses the complexity of connecting LLMs to external services by providing a structured, repeatable process for developing high-quality Model Context Protocol (MCP) servers.

Core Features & Use Cases

Standardized Development Workflow: Follows a four-phase process from research to evaluation to ensure production-ready servers.
Tool Design Best Practices: Provides guidelines for naming, schema definition, and error handling to maximize LLM tool-use accuracy.
Evaluation Harness: Includes a built-in testing framework to verify that LLMs can successfully use your tools to solve complex, multi-step tasks.

Quick Start

Use the mcp-builder skill to initialize a new MCP server project structure for a GitHub integration.

Frequently Asked Questions about mcp-builder

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

FAQPage Schema

How do I build an MCP server for LLM tool integration?▼

To build an MCP server for LLM tool integration, use a structured four-phase workflow from research to evaluation, supporting TypeScript and Python development with standardized tool naming, input validation, and pagination.

What is the best way to standardize tool design for LLM external service integration?▼

Standardizing tool design for LLM external service integration requires following best practices for naming, schema definition, and error handling to maximize LLM tool-use accuracy and ensure production-ready servers.

Can I use Python and TypeScript to create Model Context Protocol servers?▼

Yes, you can create Model Context Protocol servers using both Python and TypeScript, leveraging dependencies like Anthropic, Pydantic, and HTTPX to enable LLMs to interact with external services through well-defined tools.

How do I verify that an LLM can successfully use custom MCP tools for multi-step tasks?▼

To verify LLM tool-use for multi-step tasks, create automated evaluation suites using the built-in testing harness to confirm tool effectiveness and LLM reasoning capabilities against complex scenarios.

Does developing an MCP server require specific API dependencies?▼

Developing an MCP server requires specific dependencies including Anthropic, MCP, Pydantic, and HTTPX to facilitate proper input validation, API integration, and communication between LLMs and external services.