{"repo":"disler/beyond-mcp","free":true,"listed":false,"github":"https://github.com/disler/beyond-mcp","clone":"git clone https://github.com/disler/beyond-mcp.git","description":"It's time to push beyond MCP Servers... Right?","language":"Python","stars":131,"topics":[],"license":null,"category":"mcp-servers","readme_excerpt":"Beyond MCP It's time to push beyond MCP Servers... Right? Let's breakdown real engineering trade offs between MCP, CLI, File System Scripts, and Skills based approaches for building reusable toolsets for your AI Agents. Watch the full video breakdown here: Beyond MCP Purpose of this Repo - MCP Servers are the standard way to build reusable toolsets for your AI Agents. But they are not the only way. - MCP Servers come with a massive cost - instant context loss . - When you have a single, or a few MCP Servers, this is not a big deal. But as you scale to many agents, many tools, and many contexts - this cost quickly becomes a bottleneck. - So what are the alternatives that big players are using to build powerful, reusable, context preserving toolsets for their AI Agents? Here we explore 4 concrete approaches in this repo, all implementing access to Kalshi prediction market data. The 4 Approaches apps/1 mcp server/ - MCP Server apps/2 cli/ - CLI apps/3 file system scripts/ - File System Scripts apps/4 skill/ - Skill Quick Start 1. MCP Server 2. CLI 3. File System Scripts 4. Skill The 4 Approaches In Detail - apps/1 mcp server/ - MCP Server - apps/2 cli/ - CLI - apps/3 file system scripts/ - File System Scripts - apps/4 skill/ - Skill 1. MCP Server ( apps/1 mcp server/ ) Classic Model Context Protocol implementation - ✅ Standardized integration - Works with any MCP-compatible client - ✅ Tool discovery - Auto-exposes 15 tools to LLMs - ✅ Clean abstractions - MCP protocol handles co","default_branch":null,"files":null,"tree":[],"storefront":"/r/disler","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/disler/beyond-mcp/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}