mcp-builder

Scaffold MCP servers with Python or TypeScript SDKs and configure stdio/HTTP transports.

Updated Jan 21, 2026

Search Tags:#validation #sdk #mcp #server #tool-registration #transports

Ready to run

npx skills add https://github.com/rafaelramosdf/antigravity-agents --skill mcp-builder-rafaelramosdf

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: mcp-builder
Source: https://github.com/rafaelramosdf/antigravity-agents/tree/main/templates/agent-template-en/skills/mcp-builder
Command: npx skills add https://github.com/rafaelramosdf/antigravity-agents --skill mcp-builder-rafaelramosdf

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires mcp, and includes scripts (resource) components.

What problem does it solve?

MCP server development for LLM agents can be complex, requiring robust tool registration, input validation, and transport configuration across languages. This Skill guides you through best practices to create production-grade MCP servers using both Python and TypeScript SDKs.

Core Features & Use Cases

Tool registration with strict input validation using Pydantic/FastMCP or Zod to ensure safe tool calls.
Transport configuration supporting stdio and streamable HTTP for local and remote deployments.
Lifecycle and error handling patterns including resource management, logging, and graceful shutdown.
Example patterns: end-to-end tool definition, structured outputs, and security considerations.

Quick Start

Scaffold a new MCP server using the MCP SDKs, register a sample tool, and run a local transport to verify end-to-end tool invocation.

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 with Python or TypeScript SDKs?▼

You can build an MCP server by scaffolding it with the Python or TypeScript MCP SDKs, registering tools with strict input validation, and configuring transports for local or remote agent interactions.

What is the best way to validate tool inputs in an MCP server?▼

The best way to validate MCP server tool inputs is using Pydantic or FastMCP for Python and Zod for TypeScript, ensuring safe and structured tool calls before processing agent requests.

Can I configure streamable HTTP transports for remote MCP server deployments?▼

Yes, you can configure streamable HTTP transports for remote MCP server deployments, alongside stdio for local operations, enabling flexible agent interactions across environments.

Does the MCP SDK support error handling and graceful shutdown for servers?▼

Yes, the MCP SDK supports lifecycle and error handling patterns including resource management, logging, and graceful shutdown to maintain production-grade server stability during agent interactions.

What security considerations are needed when registering tools in an MCP server?▼

When registering tools in an MCP server, security considerations include enforcing strict input validation schemas, handling structured outputs safely, and managing resources properly to prevent unsafe agent tool calls.