ViBo MCP Server

ViBo MCP Server

Provides persistent memory (L1/L2/L3 encrypted), web-search savings, and thread memory for AI agents, enabling token savings and context retention across MCP clients.

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README

šŸ¦ž ViBo MCP Server

Memory for AI agents ā€” 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 ā€” free 2-day trial, then $5/month.

Tools

Tool Description
memory_search Find relevant facts (returns token savings)
memory_add Save a fact (dedup by exact match)
memory_usage Your real savings statistics
thread_memory Thread: add / compress / ask / context

Example

Agent: "What does client Anna prefer?" ā†’ memory_search("Anna preferences") ā†’ ā€¢ [L1] client-anna: Anna likes coffee without sugar, order #42 ā†’ šŸ’¾ Saved 13,452 tokens (97.5%)

Honest numbers

  • Memory: 97.5% fewer tokens on 118 facts (grows with memory, 50-150Ɨ on 10K+).
  • Web search: 99.6% (measured 47,443 ā†’ 186 tokens).
  • Threads: -72%.
  • Secrets (L3) never reach the LLM ā€” encrypted by design.

Links

  • Site: https://wwwvibo.com
  • Bot: @ViBomemorybot
  • Docs: https://github.com/vnbochkarev-netizen/ViBo-memory

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