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doanchienthangdev
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Developing MCP Servers

Develop MCP servers with Python and TypeScript SDKs for AI assistant integration.

4|1|Updated Dec 30, 2025
Search Tags:#serverless#api development#mcp#ai tools#claude integration#fastmcp
One-click install
npx skills add https://github.com/doanchienthangdev/omgkit --skill developing-mcp-servers
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: Developing MCP Servers
Source: https://github.com/doanchienthangdev/omgkit/tree/main/plugin/skills/tools/mcp-development
Command: npx skills add https://github.com/doanchienthangdev/omgkit --skill developing-mcp-servers

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill simplifies the creation of Model Context Protocol (MCP) servers, enabling seamless integration of custom tools, data resources, and prompts for AI assistants like Claude.

Core Features & Use Cases

  • Tool Definition: Easily define callable tools with type-safe parameters using Python decorators.
  • Resource Exposure: Expose application data and settings as AI-readable resources via URI patterns.
  • Prompt Templating: Create reusable prompt templates for consistent AI interactions.
  • Use Case: Develop a custom tool that allows an AI to query a company's internal knowledge base or interact with a specific API.

Quick Start

Use the mcp development skill to create a new MCP server named 'my-service' with a 'get_weather' tool.

Frequently Asked Questions about Developing MCP Servers

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 for Claude integration?▼

You build an MCP server by using Python or TypeScript SDKs to define callable tools with type-safe parameters. This allows you to expose custom data resources and application settings as AI-readable resources via URI patterns for Claude integration.

Can I create reusable prompt templates when developing MCP servers?▼

Yes, you can create reusable prompt templates for consistent AI interactions when developing MCP servers. The Skill facilitates prompt templating alongside tool definition and dynamic resource exposure to extend AI assistant capabilities.

Does MCP server development support streaming results and progress reporting?▼

MCP server development supports dynamic resources, progress reporting, streaming results, and middleware. These features enable real-time data handling and extended communication between your custom tools and AI assistants.

How do I test MCP server tools and resources before deployment?▼

You test MCP server tools and resources using MCPTestClient. This built-in testing component allows you to validate tool definitions, resource exposures, and prompt templates before deploying your MCP server for AI integration.

What's the best way to expose application data as an AI-readable resource via MCP?▼

The best way to expose application data as an AI-readable resource is by defining URI patterns within your MCP server. This protocol allows AI assistants to seamlessly query your internal knowledge base or interact with specific APIs.

Do I need Python or TypeScript SDKs to define type-safe tools for MCP servers?▼

You need either Python or TypeScript SDKs to define type-safe tools for MCP servers. Python SDKs allow you to use decorators for easily defining callable tools, while TypeScript offers similar type-safe parameter definitions.

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