ck:mcp-management

Discover, analyze, and execute MCP server tools across multi-server workflows.

Updated May 10, 2026
One-click install
npx skills add https://github.com/dthuy62/kollet-app --skill ck-mcp-management-dthuy62
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ck:mcp-management
Source: https://github.com/dthuy62/kollet-app/tree/main/.opencode/skills/mcp-management
Command: npx skills add https://github.com/dthuy62/kollet-app --skill ck-mcp-management-dthuy62

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires @modelcontextprotocol/sdk, @types/node, nodemon, ts-node, tsx, typescript, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill removes the overhead of manually managing Model Context Protocol servers by letting an AI discover, analyze, and execute external capabilities in a context-efficient way.

Core Features & Use Cases

  • Multi-server discovery: Connect to several MCP servers from one configuration and inspect their tools, prompts, and resources.
  • Intelligent execution: Select and call the right capability for tasks like web search, memory storage, filesystem access, and browser automation.
  • Context-efficient orchestration: Delegate MCP work to subagents or use generated catalogs so the main conversation stays focused and compact.
  • Use case: A developer needs to search the web, store findings, and take a screenshot, then uses this Skill to discover the available tools and run the right sequence automatically.

Quick Start

Ask the skill to inspect your configured MCP servers, list the available capabilities, and execute the tool that best matches your task.

Frequently Asked Questions about ck:mcp-management

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

FAQPage Schema
How do I run MCP tools without polluting the main context window?

MCP server discovery and tool execution can be managed without expanding the main context window by delegating work to subagents or using generated catalogs. This approach keeps the primary conversation compact while handling multi-server workflows automatically.

What is multi-server discovery in Model Context Protocol workflows?

Multi-server discovery is the process of connecting to several MCP servers from one configuration to inspect their available tools, prompts, and resources. It enables intelligent execution across web search, memory storage, filesystem access, and browser automation tasks.

How to configure and execute tools across multiple MCP servers?

Configure your MCP servers and ask the system to inspect them, list available capabilities, and execute the matching tool. It handles JSON-RPC client communication, subprocess transport cleanup, and configuration loading to run the right sequence automatically.

Can I use TypeScript with Model Context Protocol SDK for server management?

Yes, TypeScript is supported for MCP server management alongside the Model Context Protocol SDK. The environment uses ts-node, tsx, and nodemon to handle JSON-RPC client interactions and subprocess transport cleanup for reliable operation.

Does MCP tool orchestration support web search, memory storage, and browser automation?

Yes, MCP tool orchestration supports web search, memory storage, filesystem access, and browser automation. It discovers the available tools across connected servers and intelligently selects and calls the right capability for your specific task sequence.

Why does MCP server execution require subprocess transport cleanup?

Subprocess transport cleanup is required to ensure reliable MCP server operation by properly managing JSON-RPC client connections. Without it, abandoned subprocesses and lingering transports would cause unpredictable tool execution failures across multi-server workflows.