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mcp-builder

Build MCP servers exposing tools, resources, and prompts in TypeScript or Python.

Updated Feb 9, 2026
Search Tags:#typescript#integration#ai#mcp#server#tool-definition
One-click install
npx skills add https://github.com/Xza85hrf/claude-code-agent-kit --skill mcp-builder-xza85hrf
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: mcp-builder
Source: https://github.com/Xza85hrf/claude-code-agent-kit/tree/main/.claude/skills/engineering/mcp-builder
Command: npx skills add https://github.com/Xza85hrf/claude-code-agent-kit --skill mcp-builder-xza85hrf

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Builds MCP servers that expose tools, resources, and prompts to AI assistants, enabling custom integrations.

Core Features & Use Cases

  • Tools: Define executable functions with JSON schemas and deterministic inputs.
  • Resources: Access read-only data sources and API responses for AI workflows.
  • Prompts: Provide pre-defined templates to guide AI assistants through common tasks.
  • Use Case: Integrate a GitHub workflow by exposing a search_issues and create_issue toolset to automate repo management.

Quick Start

Create a new MCP server for your GitHub integration using the steps in this Skill.

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 to expose custom tools to an AI assistant?▼

Build an MCP server by defining executable functions with JSON schemas for deterministic inputs. This Skill provides TypeScript and Python implementation steps to expose tools, resources, and prompts to AI assistants.

What is the difference between tools, resources, and prompts in an MCP server?▼

In an MCP server, tools are executable functions with JSON schemas, resources are read-only data sources and API responses, and prompts are pre-defined templates that guide AI assistants through common tasks.

Can I use TypeScript to create an MCP server for a GitHub workflow integration?▼

Yes, you can create an MCP server using TypeScript to integrate a GitHub workflow. You can expose a search_issues and create_issue toolset to automate repository management tasks for AI assistants.

Does building an MCP server require predefined tool schemas and input validation?▼

Yes, building an MCP server requires structured tool definitions with predefined schemas. This Skill ensures your server implementation includes input validation, error handling, and safe authentication patterns.

How do I configure safe authentication patterns for MCP server resources?▼

Configure safe authentication patterns using the configuration examples provided by this Skill. It ensures structured tool definitions and input validation are paired with secure access to read-only data sources and API responses.

What are the limitations of using MCP servers for AI assistant integrations?▼

MCP server integrations rely on deterministic inputs and predefined JSON schemas for tools. Resources are limited to read-only data sources, meaning any state modification must be handled strictly through executable tool functions.

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