by mksglu · MCP Server · ★ 17.9k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
Context Mode The other half of the context problem. The Problem Every MCP tool call dumps raw data into your context window. A Playwright snapshot c
| Stars | 17,863 |
| Forks | 1,262 |
| Language | TypeScript |
| Category | MCP Server |
| Quality Score | 54.598/100 |
| Open Issues | 47 |
| Last Updated | 2026-06-21 |
| Created | 2026-02-23 |
| Platforms | claude-code, cli, codex, mcp, node |
| Est. Tokens | ~21k |
Looking for a context-mode alternative? If you're comparing context-mode with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
Multi-harness agentic plugin marketplace for Claude Code, Codex CLI, Cursor, OpenCode, GitHub Copilot, and Gem
The fullstack MCP framework to develop MCP Apps for ChatGPT / Claude & MCP Servers for AI Agents.
A curated list of awesome Claude Skills, resources, and tools for customizing Claude AI workflows
Installable GitHub library of 1,600+ agentic skills for Claude Code, Cursor, Codex CLI, Gemini CLI, Antigravit
Free, local, open-source 24/7 Cowork app for OpenClaw, Hermes Agent, Claude Code, Codex, OpenCode, Gemini CLI
Semi-automated research assistant for academic research and software development. Supports Claude Code, Codex
Explore other popular mcp server tools:
context-mode is Context window optimization for AI coding agents. Sandboxes tool output, 98% reduction. 15 platforms. It is categorized as a MCP Server with 17.9k GitHub stars.
context-mode is primarily written in TypeScript. It covers topics such as antigravity, claude, claude-code.
You can find installation instructions and usage details in the context-mode GitHub repository at github.com/mksglu/context-mode. The project has 17.9k stars and 1262 forks, indicating an active community.
The top alternatives to context-mode on Agent Skills Hub include agents, mcp-use, awesome-claude-skills. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.