Progressive Routing cuts AI agent tool context by 95%

Short summary

The article introduces Progressive Routing to solve AI agent context bloat from loading all tool definitions simultaneously. A three-layer approach uses semantic search to match prompts against a global MCP directory, injects only top relevant tool schemas into the LLM context, and maintains byte-for-byte parity across Claude Code, Codex, Gemini CLI, Cursor, Windsurf, Kiro, and GitHub Copilot CLI. The claimed result is a 95% reduction in tool context overhead, bringing it down to 1,200-2,500 tokens.

• •Progressive Routing uses semantic search to inject only relevant tool schemas into agent context
• •Claims 95% reduction in tool definition overhead (down to 1,200-2,500 tokens)
• •Supports Claude Code, Codex, Gemini CLI, Cursor, Windsurf, Kiro, and GitHub Copilot CLI

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