vault: add ECC methodology deep-dive and zettelkasten insights

New resource note with 6 core methodologies, community best practices,
pitfalls, and practical examples. Three zettelkasten notes extract key
insights: hook vs prompt reliability, MCP context tradeoffs, and the
instinct learning system. Updated existing guides with cross-links.
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Yaojia Wang
2026-03-19 23:19:56 +01:00
parent e4382d01bb
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---
created: "2026-03-19 12:02"
type: zettel
tags: [claude-code, context-window, performance, mcp]
source: "https://github.com/affaan-m/everything-claude-code"
---
# MCP 数量与上下文窗口的反比关系
每个启用的 MCP Server 都会占用上下文窗口空间工具定义、schema 描述等)。实测数据:
- 0-5 个 MCP: 有效上下文接近 200K tokens
- 10+ 个 MCP: 有效上下文降至 ~70K tokens降幅 65%
**最佳实践**:
- 活跃 MCP <= 10 个,活跃工具总数 <= 80 个
-`disabledMcpServers` 动态禁用不用的
- 重操作优先用 CLI`gh`)而不是 MCP
- 使用 `llms.txt` 模式获取文档,避免 MCP 常驻开销
这是 Claude Code 性能优化中**最重要的单一因素** — 比任何 Agent 或 Skill 都重要。
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## Related
- [[Everything Claude Code 方法论与最佳实践]]
- [[Hook驱动优于提示词驱动]]