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mcp-builder

Build MCP servers in Python or TypeScript to integrate external APIs.

Updated Apr 5, 2026
Search Tags:#typescript#python#evaluation#mcp#fastmcp#mcp-server
One-click install
npx skills add https://github.com/rizaldiem/digital-invitation-web_V2 --skill mcp-builder-rizaldiem
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: mcp-builder
Source: https://github.com/rizaldiem/digital-invitation-web_V2/tree/main/.windsurf/skills/mcp-builder
Command: npx skills add https://github.com/rizaldiem/digital-invitation-web_V2 --skill mcp-builder-rizaldiem

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

Enable developers to design and implement MCP (Model Context Protocol) servers that let LLMs interact reliably with external APIs and services, reducing ambiguity and integration friction when exposing tooling to agents.

Core Features & Use Cases

  • Design Guidance: Principles for API coverage vs. workflow tools, tool naming, and context management to improve discoverability and agent usability.
  • Implementation Patterns: Language-specific instructions for Python (FastMCP) and Node/TypeScript (MCP SDK), including input validation, structured outputs, transports (stdio, streamable HTTP), and example project layouts.
  • Quality & Evaluation: Testing checklists, evaluation creation guidelines, and an evaluation harness for measuring how well LLMs can use the server.
  • Use Case: Ship an MCP server that exposes well-documented, paginated read-only tools for an internal API so agents can answer multi-step queries reliably.

Quick Start

Create a production MCP server using the provided guides to register tools with strict schemas, clear descriptions, and proper transport configuration.

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-ready MCP server?▼

Build production-ready MCP servers by registering tools with strict schemas, clear descriptions, and proper transport configuration. Follow language-specific patterns for Python or TypeScript to ensure agents can interact reliably with external APIs.

What is the difference between stdio and streamable HTTP transports in MCP?▼

MCP servers use stdio for local communication and streamable HTTP for network access. Transport selection depends on your deployment context, with stdio suited for direct agent integration and HTTP enabling broader service connectivity.

Can I use FastMCP with Python to expose external APIs to LLMs?▼

Yes, FastMCP with Python enables external API exposure to LLMs through input validation and structured outputs. It provides language-specific implementation patterns and example project layouts for reliable agent interaction.

How do I evaluate how well an LLM can use my MCP server?▼

Evaluate LLM usage by creating evaluations and using an evaluation harness to measure performance. This testing approach ensures your MCP server provides well-documented, paginated read-only tools that agents can query reliably.

What are the best practices for MCP tool naming and context management?▼

Best practices for MCP tool naming involve following design guidance principles for API coverage versus workflow tools. Proper tool naming and context management improve discoverability and agent usability when exposing tooling.

Does the MCP SDK for TypeScript support pagination and authentication?▼

The MCP SDK for TypeScript supports pagination and authentication. Implementation patterns include input validation, structured outputs, and error handling to ensure production readiness when integrating external services for agents.

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