UniversalBench: run code, web, databases, and any LLM from your AI, safely
About
An MCP execution platform that gives any AI real infrastructure to act. Through three tools it can run code and shell commands, install packages, run tasks in parallel, search the web, make HTTP calls, read write and query databases, call any LLM, commit to GitHub, take screensho
Details
- Author
- nikhilgogulwar
- Downloads
- 215
- Categories
- Developer Tools, AI, Database
Jump to
- Run code and shell commands in an isolated sandbox
- Search the web and make safe HTTP calls
- Read, write, and query databases with your own credentials
- Call any major LLM with cost caps on by default
- Read from and commit to GitHub with every push validated first
- Store credentials in an encrypted vault that unlocks tools automatically
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
UniversalBench: run code, web, databases, and any LLM from your AI, safelyCommand (node, npx, python, etc.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
Connect via the URL https://universalbench-mcp.penantiaglobal.workers.dev/u/{api_key} with any MCP-compatible AI. Your AI then gets three tools — ub_read, ub_write, and ub_ai — to perform actions in an isolated sandbox. A free tier offers 1,000 calls per month with no card required, then pay as you go.
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"universalbench: run code, web, databases, and any llm from your ai, safely": {
"universalbench": {
"url": "https://universalbench-mcp.penantiaglobal.workers.dev/u/{api_key}"
}
}
}
}McpServers
{
"universalbench": {
"url": "https://universalbench-mcp.penantiaglobal.workers.dev/u/{api_key}"
}
}UniversalBench
AI has the intelligence. UniversalBench gives it the infrastructure to act.
Connect one URL to Claude, ChatGPT, Gemini, or any MCP-compatible AI, and behind it your AI can run code, search the web, read and write databases, call any LLM, and commit to GitHub, all before results reach the model. That filtering is what cuts up to 96.5 percent of tokens versus doing the work in chat.
Three guarantees, all live in code:
- [ ] AI never ships broken code. Every code push is validated and confirmed to load before commit.
- [ ] AI never burns your wallet. Every LLM call is cost-estimated before it runs, and calls over your ceiling are rejected.
- [ ] AI cannot reach your internal network. Every request is checked against an internal-network blocklist.
What your AI can do through three tools (ub_read, ub_write, ub_ai):
- [ ] Run code and shell commands in an isolated sandbox
- [ ] Install packages and run tasks in parallel
- [ ] Search the web and make safe HTTP calls
- [ ] Read, write, and query databases with your own credentials
- [ ] Call any major LLM with cost caps on by default
- [ ] Read from and commit to GitHub, with every push validated first
- [ ] Take screenshots and handle file delivery and conversion
- [ ] Persist memory and state across sessions
- [ ] Store credentials in an encrypted vault that unlocks the right tools automatically
Connect:
https://universalbench-mcp.penantiaglobal.workers.dev/u/{api_key}
Free tier: 1,000 calls per month, no card required, then pay as you go.
Docs: https://docs.universalbench.dev
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