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mcp

Build and manage MCP servers exposing tools, prompts, and resources.

Updated Dec 23, 2025
Search Tags:#discovery#sdk#mcp#orchestration#server#tools#transport
One-click install
npx skills add https://github.com/dige04/hieu-ccsetup --skill mcp-dige04
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: mcp
Source: https://github.com/dige04/hieu-ccsetup/tree/main/config/skills/mcp
Command: npx skills add https://github.com/dige04/hieu-ccsetup --skill mcp-dige04

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires @modelcontextprotocol/sdk, anthropic, mcp.

What problem does it solve?

MCP servers enable AI agents to build, integrate, and orchestrate external tools, data, and prompts across Python and TypeScript environments.

Core Features & Use Cases

  • Build MCP servers in Python (FastMCP) or Node/TypeScript (MCP SDK) to expose tools, prompts, and resources
  • Discover and execute tools across multiple configured MCP servers
  • Manage MCP configurations, transports, and server lifecycles, including key management and updates
  • Use agent-centric design patterns to enable workflows that span research, planning, execution, and evaluation
  • Reference and example material to guide development, testing, and evaluations

Quick Start

Install the MCP toolkit, configure your .claude/.mcp.json, and start discovering and using MCP tools across configured servers.

Frequently Asked Questions about mcp

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 AI agents?▼

To build an MCP server, use Python with FastMCP or TypeScript with the MCP SDK to expose tools, prompts, and resources to AI agents. This skill provides reference materials and enforces best practices for input validation, error handling, and security.

Can I configure and orchestrate multiple MCP servers simultaneously?▼

Yes, you can configure multi-server MCP environments. This skill supports discovering and executing tools across multiple configured MCP servers, managing transports, and handling server lifecycles including key management and updates.

What's the best way to discover and execute tools across configured MCP servers?▼

The best way to discover and execute tools is by configuring your .claude/.mcp.json file. This enables Claude workflows to automatically discover and execute tools across your configured Python and TypeScript MCP server environments.

Does MCP SDK support both Python and TypeScript implementations?▼

Yes, the MCP SDK supports both Python and TypeScript implementations. You can build servers using FastMCP for Python or the MCP SDK for Node and TypeScript, enabling agent-centric design patterns across both environments.

What limitations or security considerations exist when managing MCP server lifecycles?▼

When managing MCP server lifecycles, you must enforce best practices for input validation, error handling, pagination, and security. This skill provides reference material to guide secure development and testing for these specific constraints.

How do I configure MCP servers in Claude to enable research and execution workflows?▼

You configure MCP servers by installing the toolkit and setting up your .claude/.mcp.json file. This enables agent-centric workflows spanning research, planning, execution, and evaluation using discovered tools and prompts.

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