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Stop Drowning Your AI Assistant: How to Build a Context-Saving MCP Server for VS Code Copilot
If you are using VS Code Copilot’s Agent Mode (especially if you are riding on the free GitHub Copilot Student Plan, though the Models have been severely depleted), you already know it feels like a fr
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Opportunity Biz
Building MCP-native data tools on Apify. Scraping, automation, AI agent infrastructure.
This is a solid approach. The head/tail truncation pattern is elegant — keeping the context where errors usually surface while dropping the noisy middle. I've been thinking about a similar problem from a different angle: when you're running long scraping jobs via MCP, the log output can get massive. A token-aware middleware like mcp-headroom could slot right into that pipeline.
Curious — have you tested this with Docker build outputs? Those tend to be the worst offenders for context bloat.