Agent skill · software engineering · secondsky
mcp-management
Manage MCP servers - discover, analyze, execute tools/prompts/resources. Use for MCP integrations, capability discovery, tool filtering, programmatic execution, or encountering context bloat, server configuration, tool execution errors.
Why this skill is useful
Adds executable scripts for managing MCP servers, including tool discovery and execution workflows that are not commonly known.
What it needs
Requires bun, gemini installed locally. About 3k tokens when loaded. Last updated 2026-08-06. 204 stars on the source repository.
What this skill does
MCP Management Skill for managing and interacting with Model Context Protocol (MCP) servers. Overview MCP is an open protocol enabling AI agents to connect to external tools and data sources. This skill provides scripts and utilities to discover, analyze, and execute MCP capabilities from configured servers without polluting the main context window. Key Benefits: Progressive disclosure of MCP capabilities (load only what's needed) Intelligent tool/prompt/resource selection based on task requirements Multi-server management from single config file Context-efficient: subagents handle MCP discovery and execution Persistent tool catalog: automatically saves discovered tools to JSON for fast reference When to Use This Skill Use this skill when: 1. Discovering MCP Capabilities: Need to list available tools/prompts/resources from configured servers 2. Task-Based Tool Selection: Analyzing which MCP tools are relevant for a specific task 3. Executing MCP Tools: Calling MCP tools programmatically with proper parameter handling 4. MCP Integration: Building or debugging MCP client implementations 5. Context Management: Avoiding context pollution by delegating MCP operations to subagents Core Capabilities 1. Configuration Management MCP servers configured in .claude/.mcp.json. Gemini CLI Integration (recommended): Create symlink to .gemini/settings.json: 2. Capability Discovery Aggregates capabilities from multiple servers with server identification. 3. Intelligent Tool Analysis LLM analyzes assets/tools.json directly - better than keyword matching algorithms. 4. Tool Execution Primary: Gemini CLI (if available) Secondary: Direct Scripts Fallback: mcp-manager Subagent Implementation Patterns Pattern 1: Gemini CLI Auto-Execution (Primary) Use Gemini CLI for automatic tool discovery and execution. Quick Example: Benefits: Automatic tool discovery, natural language execution, faster than subagent orchestration. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills secondsky/mcp-management