Benzi

Name: Benzi
Author: oooscoos

by oooscoosversion 0.1.7i★ –iRuns on your computer

Registry namenet.varianttech/benzi

Install

Overview

Description from the maker (original English)

Compiler-backed code intelligence: calls, data flow, references and class hierarchy as tools.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi0 of 1 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs on your computer
Transport: stdio
Category: Other

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 0 of 1 passed
Runs on your computer with your user’s permissions (files, network, apps).
The registry lists no key to fill in.

You need

PyPIPython’s uv installed (for the uvx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "benzi": {
      "command": "uvx",
      "args": [
        "benzi-mcp"
      ]
    }
  }
}

Run this in your terminal

claude mcp add benzi -- uvx benzi-mcp

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "benzi": {
      "command": "uvx",
      "args": [
        "benzi-mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "benzi": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "benzi-mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 6, 2026

! Caution
Maker matches the repo
The publisher (varianttech.net) is not the repo owner (oooscoos); someone else may have listed it
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
– Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
– Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
… Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Otheri

More stars than 0% of the other 32433 servers in this category
Published to the registry more recently than 83% of the other 32433 servers in this category
Basic checks equal to or better than 34% of the other 32433 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Benzi safe?

It passed 0 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.1.7) reached the registry 6 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, Symantec Cloud DLP AIops

Alternatives

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Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

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Runs on your computer★ 440MITUpdated 14 months ago

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README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

Language Agnostic · Model Agnostic · Compiles Locally · BYOK · MCP Compatible

— What is Benzi —

— Live demos —

— Language support —

— Getting started —

— SWE-bench Verified —

— How it works —

— Toolset —

— Features —

— Benzi vs CC, DSH, OC —

— FAQ and Benzi's map vs LSP/SCIP indexers —

What is Benzi

Most AI coding agents grep and glob raw source code into AI model's context window and hope the model finds what matters. Benzi parses every file first — a real compiler, built on tree-sitter — into a precise, queryable map. Every symbol, every call edge, every reference, every class in its inheritance chain. One pass, done.

Every file parsed, imports resolved, class ancestry built, every identifier traced to its definition — before a single question is answered. Call flow and data flow join at every call site, so a bad value traces to its origin in one tool call. Claude Code greps; Cursor embeds; Aider maps signatures; Benzi resolves — in O(1). Ten languages so far, plus a markup engine for HTML, CSS, and DOM-JS — see Language support. Benzi is free to use during beta.

You can try pasting this repo's link to Benzi in the live demo too!

Benzi on SQLite

Like where this is headed? A ⭐ goes a long way.

Live demos

[StallionSwipe](BENZI_GREENFIELDING_EXAMPLES/horse_tinder/) · Python, HTML, CSS, JS — a dating app for horses, greenfielded by Benzi from scratch in a single chat session. No image is a file: every horse portrait is procedural SVG, generated in code. Match with one and it flirts back through a real model, live. Frontend, backend, and the prompts — all written by Benzi. Try it live.

Or, try any repo of your choice at all here — point Benzi at any public GitHub repo and it builds the index live. varianttech.net/demo.

Language support

Python · JavaScript · TypeScript · Java · C# · C++ · C · Go · Rust · Ruby

One compiler, ten languages — each is a tree-sitter grammar plugin, so the core of the map (symbols, call edges, references, inheritance, data flow) is built the same way everywhere.

Depth is uneven. Python is deepest, and the only one with the runtime tracer. Every language reaches the core of the map, but each has its own constructs, not all modelled yet. For most code, every other language's map comes close to Python's.

Incremental reindexing is also less optimized for C, C++, Rust, and Ruby — it works, just not as fast on a large edit loop.

Wrong or thin answer in your language? Open an issue with the repo, the question, and what it got wrong — that's how the uneven parts get found.

Getting started

Benzi is completely free to use during beta. There are two ways to use it, and they share one login: the same benzi-login config works everywhere.

The Benzi agent — Benzi's own agent, running on the compiled index, in VS Code or from the terminal. These features are part of the agent itself, so they come with VS Code and headless and are not available over MCP:

Runtime tracer — runs your code and records what actually happened: which target each ambiguous call really hit, with the real argument values.
Static-analysis-gated edits — every write is syntax-checked and checked against a fresh index before the next step; an edit that breaks the code is rolled back instead of built on.
Blast radius before and after every edit — who calls the symbol, who holds it, and what feeds its parameters, before the change and again once it lands.
Self-aware upgrade to pro — when a task outgrows the model it's running on, the agent upgrades itself to a larger model, then drops back when the task is done. Set BENZI_ESCALATE_MODEL=deepseek-pro (or another model alias) to turn it on.
Persistent memory and rollback — per-repo facts that survive restarts, and one-step undo of any edit.

Run it either way:

VS Code extension — VS Code Marketplace

Install Benzi from the VS Code Marketplace.
Click the Benzi icon in the left activity bar (circled below) to open the Benzi: Settings panel.
Pick your model and paste your API key: an Anthropic key, or a non-Anthropic one (DeepSeek, Groq, Kimi and others).
Enter your email and press Send, then type in the one-time code it emails you.
Press Save model & keys, then Run Benzi.

Headless CLI — PyPI

The same steps as the VS Code extension, from your terminal: install, log in, set your model and key, then run.

bash pip install benzi

Python 3.11–3.14 on Windows, macOS and Linux. Installs the benzi-login, benzi-headless and benzi-mcp commands.

1. Log in — emails you a one-time code to type in.

bash benzi-login --login you@example.com

2. Set your model and key

bash benzi-login --model deepseek benzi-login --nonanthropic-key YOUR_KEY # or for Claude models: benzi-login --anthropic-key YOUR_KEY

3. Run it on a repo — from the terminal, for scripts and CI.

bash benzi-headless . "fix the failing test in parser.py"

The Benzi compiler as an MCP server — the compiled index, served as tools to the agent you already use: Claude Code, Cursor, or any MCP client. This is the map without Benzi's agent loop, so output quality depends on your agent, and the agent features above aren't included.

The steps are the same as headless: pip install benzi, then log in with benzi-login. You can skip the model and key, because your own agent does the model calls. Then register benzi-mcp with your agent instead of running benzi-headless. For example, in Claude Code, once for all your projects:

   claude mcp add --scope user benzi -- benzi-mcp

benzi-mcp then serves whichever folder you start Claude Code in, so switching projects needs nothing extra. To pin it to one repo no matter where you start, pass that repo's path:

   claude mcp add --scope user benzi -- benzi-mcp /path/to/your/repo

VS Code's settings panel and benzi-login share one config: log in once, and VS Code, headless and MCP all use it.

SWE-bench Verified

The full SWE-bench Verified set — 500 real GitHub issues from twelve Python repositories — run end to end on DeepSeek V4.1-Flash, one attempt per instance, graded by the official swebench.harness.run_evaluation inside its own per-instance Docker images, with network access to GitHub and PyPI blocked inside every container. 413 of 500 resolved (82.6%) for $9.26 in total, 1.85¢ per task, with 97.6% of input tokens served from cache.


Resolved	413 / 500 (82.6%)
Attempts per instance	1 (pass@1)
Model	DeepSeek V4.1-Flash, thinking mode at its default effort
Total generation cost, all 500	$9.26
Cost per task	$0.0185
Model turns: total / median per instance	13,281 / 20.5
Input tokens served from prompt cache	97.6%
Output tokens, total (of which reasoning)	8.7M (6.2M)

Full technical report: swebench-october-run2/SWE_BENCH_REPORT.md (web version). Every instance's cost, tokens and turns: varianttech.net/benchmark_swebench. The cross-harness efficiency comparison below (and the full 24-bug chart): varianttech.net/benchmark.

<img src="https://raw.githubusercont

Only the beginning is shown; read the rest in the repo

Benzi

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Otheri

Common questions

Alternatives

Spec Driven Development

Remote Desktop Commander

Symantec Cloud DLP AIops

README from the maker

Contents

What is Benzi

Live demos

Language support

Getting started

SWE-bench Verified