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DatTran26
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ck:mcp-management

Discover and manage MCP servers via CLI with subagent-based execution.

Updated Apr 9, 2026
Search Tags:#automation#mcp#subagent#multi-server#server-management#tool-discovery#llm-integration
One-click install
npx skills add https://github.com/DatTran26/KienTruThiHanh --skill ck-mcp-management-dattran26
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ck:mcp-management
Source: https://github.com/DatTran26/KienTruThiHanh/tree/main/.agents/skills/mcp-management
Command: npx skills add https://github.com/DatTran26/KienTruThiHanh --skill ck-mcp-management-dattran26

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

Intelligent management and execution of MCP servers without polluting the main context window, enabling scalable multi-server integrations and controlled tool usage.

Core Features & Use Cases

  • Progressive discovery of MCP capabilities across multiple servers
  • Intelligent tool/prompt/resource analysis and multi-server orchestration
  • Subagent-based execution to keep the main context clean and efficient
  • Use cases include discovering tools, selecting relevant ones, and executing MCP operations with safe scope

Quick Start

Install dependencies, configure .claude/.mcp.json, and run the MCP management CLI to list tools.

Frequently Asked Questions about ck:mcp-management

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

FAQPage Schema
How do I manage multiple MCP servers without polluting the main context window?▼

MCP servers can be managed without polluting the main context window by using subagent-based execution. This approach isolates tool calls and capability discovery, enabling scalable multi-server integrations while keeping the primary context clean and efficient.

How to discover available tools and prompts across MCP servers?▼

You can discover available tools and prompts by running CLI scripts that expose list-tools, list-prompts, and list-resources commands. This enables progressive capability discovery and intelligent tool selection across multiple configured MCP servers.

What configuration is required to use MCP management scripts?▼

Using MCP management scripts requires a .claude/.mcp.json configuration file and a CLI or Gemini-based workflow. You must also install the @modelcontextprotocol/sdk dependency to run the list-tools and call-tool commands.

Can I execute MCP tools on-demand across different workflows?▼

Yes, you can execute MCP tools on-demand across different workflows using the call-tool command. This enables intelligent tool selection and controlled execution with safe scope, applied across multiple servers without affecting the main context.

What is the best way to orchestrate multi-server LLM integrations?▼

The best way to orchestrate multi-server LLM integrations is using subagent-based execution for MCP servers. This approach enables progressive capability discovery and intelligent tool analysis, keeping the main context clean during complex multi-server operations.

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