YiHui CONTEXT MODE

context-mode is an MCP server that saves 98% of your context window by sandboxing tool outputs. It routes large file reads, shell outputs, and web fetches through SQLite + FTS5 instead of flooding the context. Also provides session continuity across context compactions via BM25 retrieval.

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

Tool	When to Use	Token Savings
ctx_batch_execute	Run multiple commands + auto-search results	90%+ vs raw exec
ctx_execute	Single script execution (JS/Python/Shell)	90%+ vs raw exec
ctx_execute_file	Run code from a file, return only result	high
ctx_index	Index docs/knowledge into searchable FTS5	—
ctx_search	Search indexed content with BM25	fast recall
ctx_fetch_and_index	Fetch URL + index into knowledge base	90%+ vs raw web fetch

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.

text

❌ "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:

bash

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