context-mode MCP Server
mksglu/context-mode
[](https://agentrank-ai.com/tool/mksglu--context-mode/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge) Context window optimization for AI coding agents. Sandboxes tool output (98% reduction), persists session memory, and enforces routing across 17 platforms via MCP + hooks.
claude mcp add agentrank -- npx -y agentrank-mcp-server Overview
mksglu/context-mode is a TypeScript tool. Context window optimization for AI coding agents. Sandboxes tool output (98% reduction), persists session memory, and enforces routing across 17 platforms via MCP + hooks. Topics: claude, claude-code, claude-code-plugins, mcp, skills, codex, copilot, opencode, antigravity, kiro, openclaw, claude-code-hooks, claude-code-skill, codex-cli, cursor-plugin, mcp-server, mcp-tools, pi-agent, zed-extension, context-mode.
Ranked #1556 out of 24846 indexed tools.
In the top 7% of all indexed tools.
Has 27,622 GitHub stars.
Used by 24 other projects.
Has 111 contributors.
Ecosystem
Score Breakdown
27,622 stars → extremely popular
Last commit 29d ago → recently updated
409/760 issues closed → decent issue management
111 contributors → active community
24 dependents → few downstream users
13,095 weekly installs → widely installed
Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →
How to Improve
Matched Queries
From the README
# Context Mode
**The other half of the context problem.**
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## The Problem
Every MCP tool call dumps raw data into your context window. A Playwright snapshot costs 56 KB. Twenty GitHub issues cost 59 KB. One access log — 45 KB. After 30 minutes, 40% of your context is gone. And when the agent compacts the conversation to free space, it forgets which files it was editing, what tasks are in progress, and what you last asked for. On top of that, the agent wastes output tokens on filler, pleasantries, and verbose explanations — burning context from both sides.
### How Context Mode Solves It
Context Mode is an MCP Read full README on GitHub → Get the weekly AgentRank digest
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