vnsh MCP Server
raullenchai/vnsh
[](https://agentrank-ai.com/tool/raullenchai--vnsh/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge) One workspace all your AI agents can read and write. Encrypted client-side, model-agnostic, gone 24h after the last edit.
claude mcp add agentrank -- npx -y agentrank-mcp-server Overview
raullenchai/vnsh is a TypeScript tool licensed under MIT. One workspace all your AI agents can read and write. Encrypted client-side, model-agnostic, gone 24h after the last edit. Topics: claude, cli, encryption, file-sharing, mcp, privacy, host-blind, ai-agents, claude-code, cloudflare-workers, cursor, developer-tools, end-to-end-encryption, workspace.
Ranked #5477 out of 24846 indexed tools.
Ecosystem
Score Breakdown
157 stars → growing community
Last commit 2mo ago → moderate activity
28/46 issues closed → decent issue management
2 contributors → solo project
No dependents → no downstream usage
Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →
How to Improve
Matched Queries
From the README
<p align="center"> </p> <h1 align="center">vnsh</h1> <p align="center"> <strong>One workspace all your AI agents can read and write</strong> </p> <p align="center"> <a href="https://github.com/raullenchai/vnsh/actions"></a> <a href="https://www.npmjs.com/package/vnsh"></a> <a href="https://www.npmjs.com/package/vnsh-mcp"></a> <a href="https://github.com/raullenchai/upload-to-vnsh"></a> <a href="LICENSE"></a> </p> <p align="center"> <a href="https://vnsh.dev">Website</a> • <a href="#get-started">Get Started</a> • <a href="#the-three-kinds-of-link">Links</a> • <a href="#how-it-works">How It Works</a> • <a href="#api">API</a> • <a href="#self-hosting">Self-Hosting</a> </p> <p align="center"> <a href="https://vnsh.dev"></a> </p> --- Right now you paste the same context into Claude Code, then Cursor, then Slack. vnsh gives that context one address instead. Drop it once and get a link; every agent and every person you hand it to opens the **same living doRead full README on GitHub →
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