universal-context-mcp
A context preservation engine for AI agents that bundles project state into a markdown package and syncs it to clipboard or cloud, enabling zero knowledge loss across sessions.
README
<div align="center">
📦 Universal Context MCP
The God-Tier Context Preservation Engine for AI Agents
Zero knowledge loss when transitioning between sessions, environments, or agents.
</div>
<br />
🎯 The Problem
You start a new session with an AI agent (Claude, Gemini, etc.). It spends the first 20 minutes reading files, guessing your architecture, and asking questions you already answered yesterday.
⚡ The Solution
Universal Context MCP creates a lossless context bridge. It bundles your project state, uncommitted changes, and architectural intent into a high-density package that "re-animates" any new agent instantly.
✨ Features
- 🏎️ Zero-Touch Setup: One command auto-configures your global Claude/CLI environment.
- 🧠 Auto-Bootstrapping: Agents automatically load the previous session's exact focus and blockers.
- 🕰️ Session Time Machine: A local
.session_checkpoints.jsonlledger tracks the evolution of your project decisions. - ⚖️ Precision Token Budgeting: Calculates exact context pressure to prevent agent degradation.
- ☁️ Cloud Sync: Securely upload context to private GitHub Gists for global cross-machine portability.
📦 Installation
# 1. Install the engine globally
npm install -g universal-context-mcp
# 2. Auto-configure your CLI/Agent environment
context-save --setup
(The setup command automatically injects the MCP server into your global .claude.json or equivalent).
🛠 Usage
1. Manual Export (The "Save State")
Run this in any project root to grab a high-density snapshot and copy it directly to your clipboard:
context-save "Brief description of current focus or blockers"
2. Cloud Export (Cross-Machine)
Moving from your desktop to your laptop? Use a secure GitHub Gist:
context-save "Moving to home laptop" --cloud
3. Agentic Handoff (The "Auto-Bootstrap")
Add this Ironclad Mandate to your project's CLAUDE.md or GEMINI.md:
## Core Mandates
- **Auto-Bootstrap:** At the start of EVERY new session, you MUST immediately call `bootstrap_session_context` to load the previous architectural intent and focus.
When a new agent boots up, it will read this rule, call the MCP tool, and instantly resume your work exactly where you left off.
4. The Autopilot Hook (Zero-Effort Background Sync)
Never forget to save context again. Run this once per project to install a Git hook that silently updates your context in the background every time you commit:
context-save --install-hook
5. Debug Mode
If you need to trace execution speed, path resolution, or token count math, use the debug flag:
context-save --debug
🏗 How It Works Under The Hood
When invoked, the exporter intelligently bundles:
- Environment: OS and Path.
- Shadow Context: The manual intent or handoff note.
- Active Changes: A lightweight
git diff --stat. - Structure: A depth-limited, noise-filtered directory tree.
- History: The last 5
git logentries. - Core Files: Automatic injection of
README.md,CLAUDE.md,package.json, etc.
<br />
<div align="center"> <i>Built for the next generation of AI-Native development.</i> </div>
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。