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agentic-mcp

Manage MCP servers via progressive disclosure and a socket daemon.

39|4|Updated Jan 12, 2026
Search Tags:#automation#cli#mcp#progressive disclosure#socket#daemon
One-click install
npx skills add https://github.com/cablate/Agentic-MCP-Skill --skill agentic-mcp
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: agentic-mcp
Source: https://github.com/cablate/Agentic-MCP-Skill/tree/main
Command: npx skills add https://github.com/cablate/Agentic-MCP-Skill --skill agentic-mcp

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill simplifies interacting with MCP servers by only loading necessary information, drastically reducing token usage and improving efficiency compared to loading full toolsets.

Core Features & Use Cases

  • Three-Layer Progressive Disclosure: Load server metadata, tool lists, or specific tool schemas on demand.
  • Socket Daemon: A long-running daemon manages persistent MCP connections, accessible via a local socket.
  • Use Case: An AI agent needs to interact with a browser automation tool (Playwright MCP). It first queries available servers, then lists tools on the Playwright server, and finally loads the schema for the browser_navigate tool before executing it, all while minimizing token consumption.

Quick Start

Use the agentic-mcp skill to get metadata for the playwright server.

Frequently Asked Questions about agentic-mcp

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

FAQPage Schema
How do I reduce token usage when interacting with MCP servers?▼

Reduce MCP token usage by implementing progressive disclosure, which loads server metadata, tool lists, and specific tool schemas on demand. This prevents loading entire toolsets into the context window unnecessarily.

What is progressive disclosure for Model Context Protocol server management?▼

Progressive disclosure is a three-layer API pattern for MCP servers that loads metadata, tool lists, and specific tool schemas on demand. It ensures AI agents only consume tokens for the exact tool information required.

How do I automate browser tasks using a Model Context Protocol server?▼

Automate browser tasks via MCP by querying available servers, listing tools on the Playwright server, and loading the specific tool schema before execution. The socket daemon maintains the persistent connection for this workflow.

Can I maintain persistent connections to MCP servers with a socket daemon?▼

Yes, maintain persistent MCP connections using a long-running socket-based daemon. Accessible via a local socket, it manages connections locally to enable efficient repeated server interactions without re-establishing them.

Does the agentic-mcp skill support file system operations alongside browser automation?▼

Yes, the skill supports both file system operations and browser automation via the Playwright MCP server. Both are managed through the same progressive disclosure API and socket-based daemon architecture.

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