Context Mode

An MCP server that solves the context window problem in AI coding agents. It provides:

1. Context Saving — sandbox tools keep raw data out of context window
2. Session Continuity — SQLite + FTS5 for event tracking
3. Think in Code — program analysis instead of reading files
4. Output Compression — terse output format reducing tokens 65-75%

Available Tools

Decision Rules

Use ctx_batch_execute instead of multiple exec/read calls when:

• Analyzing multiple files at once
• Counting/grepping across many files
• Need command output + search results together

Use ctx_execute instead of reading files when:

• User asks "how many lines/funcs/classes in X"
• Need to compute something, not just read it

Use ctx_fetch_and_index instead of web_fetch when:

• Researching a topic across multiple pages
• Full raw content won't fit in context

Output Format

Terse. Drop filler, pleasantries, hedging.

❌ "So I ran a command to check the files and found that there are..."
✅ "Checked. 3 TypeScript files: src/index.ts (142 lines), src/cli.ts (89 lines)."

OpenClaw Integration

Install via MCP:

openclaw mcp set context-mode '{"command":"npx","args":["-y","context-mode"]}'
openclaw gateway restart