mcp-builder

Build MCP servers exposing external services as tools for LLM agents.

1|Updated Jan 7, 2026
One-click install
npx skills add https://github.com/adamatdevops/forge-works --skill mcp-builder-adamatdevops
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: mcp-builder
Source: https://github.com/adamatdevops/forge-works/tree/main/.skills/anthropics/mcp-builder
Command: npx skills add https://github.com/adamatdevops/forge-works --skill mcp-builder-adamatdevops

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

mcp-builder helps you turn an external service API into a well-designed MCP server so LLM agents can reliably discover and use tools to complete real tasks.

Core Features & Use Cases

  • MCP-first workflow guidance: Plan tool coverage, naming, pagination, response formats, and error handling before coding.
  • Language-targeted implementation structure: Use dedicated patterns for TypeScript/Node or Python/FastMCP server scaffolding, including schemas and tool registration.
  • Evaluation-ready output: Create read-only, stable QA evaluations to verify that the MCP tools enable accurate multi-step answers.

Quick Start

Use the mcp-builder guide to create a new MCP server project for a target service by following Phase 2’s setup steps, then implement tools as described in Phase 2.3.

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 agents to access external APIs?

Build an MCP server by planning tool coverage, naming, pagination, and error handling, then scaffold the project using TypeScript/Node or Python FastMCP patterns to define schemas and register tools for agent use.

What is the best way to structure tool schemas for MCP server development?

Structure MCP tool schemas by defining clear input/output validation and robust naming conventions before coding, ensuring LLM agents can reliably discover tools and parse responses for multi-step workflow tasks.

Does MCP server development support both stdio and streamable HTTP transports?

MCP server development supports both stdio and streamable HTTP transports, allowing you to configure external service communication channels based on your specific integration and deployment requirements.

How do I evaluate MCP tools for multi-step agent workflows?

Evaluate MCP tools by generating read-only evaluation XML files that measure tool usability, verifying that the defined schemas enable accurate multi-step answers from LLM agents during real-world tasks.

Can I use FastMCP to scaffold Python MCP servers for external services?

FastMCP provides dedicated implementation patterns to scaffold Python MCP servers, including tool registration, schema definition, and safe error message handling for external service integration.

What limitations exist when defining error messages for MCP servers?

MCP server error messages must be safe and well-defined to prevent agent confusion, requiring careful handling of external service failures and pagination limits during real-world integration tasks.