Server data from the Official MCP Registry
Persistent memory for AI agents: L1/L2/L3, web compression, threads.
About
Persistent memory for AI agents: L1/L2/L3, web compression, threads.
Security Report
ViBo MCP server is a memory/caching service that relies entirely on external API authentication via VIBO_API_KEY. The server properly validates inputs with zod, uses HTTPS for API calls, and has no malicious patterns. However, it exhibits several security concerns: the API key is transmitted in request bodies and headers (redundant and error-prone), falls back to empty string when env var is missing, includes a Python web search utility with unsafe network operations (unchecked URL fetching, no validation), and lacks HTTPS enforcement for the configurable BASE_URL. For a service handling persistent user memory, these gaps create moderate risk. Supply chain analysis found 1 known vulnerability in dependencies (0 critical, 1 high severity). Package verification found 1 issue (1 critical, 0 high severity).
7 files analyzed · 10 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
Unverified package source
We couldn't verify that the installable package matches the reviewed source code. Proceed with caution.
What You'll Need
Set these up before or after installing:
Environment variable: VIBO_API_KEY
How to Install
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-vnbochkarev-netizen-vibo-mcp": {
"env": {
"VIBO_API_KEY": "your-vibo-api-key-here"
},
"args": [
"-y",
"@vibo-dev/vibo-mcp"
],
"command": "npx"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
🦞 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
| 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?"
→ 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.
Links
- Site: https://wwwvibo.com
- Bot: @ViBomemorybot
- Docs: https://github.com/vnbochkarev-netizen/ViBo-memory
Related projects
- CloudArc — pack a 10 GiB folder into one
.viboarchive 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
- cc-connect (bridge agent CLIs to messengers): docs/cc-connect.md
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