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io.github.vnbochkarev-netizen/vibo-mcp

Official registry AI and agents

Persistent memory for AI agents: L1/L2/L3, web compression, threads.

Source code Documentation

Install

Add this to your client's MCP configuration (Claude Desktop: claude_desktop_config.json; Cursor: .cursor/mcp.json; VS Code and others use the same "mcpServers" shape).

NPM package @vibo-dev/vibo-mcp
Claude Code 
claude mcp add vibo-mcp -e 'VIBO_API_KEY=<your vibo_api_key>' -- npx -y @vibo-dev/vibo-mcp@0.2.6
JSON configuration (Claude Desktop, Cursor, VS Code) 
{
    "mcpServers": {
        "vibo-mcp": {
            "command": "npx",
            "args": [
                "-y",
                "@vibo-dev/vibo-mcp@0.2.6"
            ],
            "env": {
                "VIBO_API_KEY": "<your vibo_api_key>"
            }
        }
    }
}

Environment variables

  • VIBO_API_KEY required secret Your ViBo license key (VIBO-...). Get a free trial: https://wwwvibo.com

Documentation

From the project's README on GitHub, refreshed weekly. Links open on GitHub.

Contents
  1. 🦞 ViBo MCP Server
  2. Install
  3. Configuration
  4. Tools
  5. Example
  6. Honest numbers
  7. Links
  8. Related projects
  9. Integrations

🦞 ViBo MCP Server

Memory for AI agents — persistent memory (L1/L2/L3 encryption), web-search savings and thread memory. Works with any MCP client: Claude Desktop, Cursor, OpenClaw, Windsurf, Codex, and more.

Install

npm install -g @vibo-dev/vibo-mcp

Configuration

Add to your MCP client config (Claude Desktop example):

{
  "mcpServers": {
    "vibo": {
      "command": "npx",
      "args": ["-y", "@vibo-dev/vibo-mcp"],
      "env": {
        "VIBO_API_KEY": "YOUR_VIBO_KEY"
      }
    }
  }
}

Get a key: **https://wwwvibo.com** — free 2-day trial, then $5/month.

Tools

ToolDescription
memory_searchFind relevant facts (returns token savings)
memory_addSave a fact (dedup by exact match)
memory_usageYour real savings statistics
thread_memoryThread: add / compress / ask / context

Example

Agent: "What does client Anna prefer?" → memory_search("Anna preferences") → • [L1] client-anna: Anna likes coffee without sugar, order #42 → 💾 Saved 13,452 tokens (97.5%)

Honest numbers

  • Memory: 97.5% fewer tokens on 118 facts (grows with memory, 50-150× on 10K+).
  • Web search: 99.6% (measured 47,443 → 186 tokens).
  • Threads: -72%.
  • Secrets (L3) never reach the LLM — encrypted by design.
  • **CloudArc** — pack a 10 GiB folder into one .vibo archive at a flat ~26 MiB peak RSS, and read its index over HTTP without fetching the payload (Apache-2.0). Docs site
  • **memory-shield** — poisoning defense for agent memory (MIT).
  • **ViBo-memory** — persistent agent memory with L1/L2/L3 encryption.

Integrations

Frequently asked questions

What is io.github.vnbochkarev-netizen/vibo-mcp?

Persistent memory for AI agents: L1/L2/L3, web compression, threads.

How do I install io.github.vnbochkarev-netizen/vibo-mcp?

It runs on your machine. In Claude Code: claude mcp add vibo-mcp -e 'VIBO_API_KEY=<your vibo_api_key>' -- npx -y @vibo-dev/vibo-mcp@0.2.6. For other clients, paste the JSON configuration from this page into their MCP settings.

Does io.github.vnbochkarev-netizen/vibo-mcp need an API key?

Yes. It expects VIBO_API_KEY, which you set in its configuration.

Is io.github.vnbochkarev-netizen/vibo-mcp open source?

Its code is public on GitHub, but the repository does not declare a standard license.

Who maintains io.github.vnbochkarev-netizen/vibo-mcp?

It is published by vnbochkarev-netizen. AI.tn lists it but does not maintain or endorse it.

From the official MCP Registry. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.