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agency-mcp-builder

Develop and test Model Context Protocol servers with custom tools and resources.

1|Updated May 5, 2026
Search Tags:#integration#MCP#tooling#AI#server development
One-click install
npx skills add https://github.com/bomberoxenviosdosruedas/01EnviosDosRueda --skill agency-mcp-builder-bomberoxenviosdosruedas
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: agency-mcp-builder
Source: https://github.com/bomberoxenviosdosruedas/01EnviosDosRueda/tree/main/.agents/workflows/agency-mcp-builder
Command: npx skills add https://github.com/bomberoxenviosdosruedas/01EnviosDosRueda --skill agency-mcp-builder-bomberoxenviosdosruedas

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires @modelcontextprotocol/sdk, zod, pydantic, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill enables the development and testing of Model Context Protocol (MCP) servers, extending AI agent capabilities with custom tools, resources, and prompts.

Core Features & Use Cases

  • MCP Server Development: Design, build, and test MCP servers that add custom functionality to AI agents.
  • Custom Tools and Resources: Create tools for API integrations, database access, and workflow automation.
  • Prompt Templates: Generate prompt templates for common workflows to guide agents toward better outputs.
  • Real-Agent Testing: Test with actual AI agents to ensure tools work as intended.

Quick Start

Run the 'build_mcp_server' script to start the MCP server development process.

Frequently Asked Questions about agency-mcp-builder

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

FAQPage Schema
How do I build a custom MCP server to extend AI agent capabilities?▼

Building a custom MCP server involves designing and testing server-side tooling using the Model Context Protocol SDKs. You use the provided build scripts to create custom tools, resources, and prompt templates that extend AI agent capabilities for specific integration workflows.

Can I use Python and TypeScript SDKs together for MCP server development?▼

Yes, MCP server development supports both TypeScript and Python SDKs, utilizing zod and pydantic for data validation. This allows developers to build custom tools, resources, and prompt templates within their preferred language environment for AI agent integration.

What is the Model Context Protocol used for in AI integration projects?▼

The Model Context Protocol is used to extend AI agent capabilities with custom tools, resources, and prompt templates. It facilitates server-side tooling and data management for AI integration projects requiring API access, database connectivity, and workflow automation.

Do I need prior experience with common integration pitfalls to test MCP servers?▼

Yes, experience with common integration pitfalls and the MCP protocol is required. Testing MCP servers with actual AI agents requires understanding TypeScript and Python SDKs to ensure custom tools, resources, and prompt templates function correctly.

How do I test custom MCP tools with real AI agents?▼

You test custom MCP tools with real AI agents by running the build script to develop the server, then validating the tools, resources, and prompt templates. This ensures the server-side tooling functions correctly within the AI integration project.

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