Safe Fix MCP

Name: Safe Fix MCP
Author: pamela-0

by pamela-0version 0.1.1i★ 1iRuns on your computer

Registry nameio.github.pamela-0/safe-fix-mcp

Install

Overview

Description from the maker (original English)

Finds real dead code and proposes a safe, test-gated branch+PR to remove it.

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 checksi2 of 2 passedChecked from public information; code not scanned yet
UsageiVery new↓ 17/wk · ★ 1

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: Developer tools

Install

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

Before you install

Basic checks: 2 of 2 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": {
    "safe-fix": {
      "command": "uvx",
      "args": [
        "safe-fix-mcp"
      ]
    }
  }
}

Run this in your terminal

claude mcp add safe-fix -- uvx safe-fix-mcp

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "safe-fix": {
      "command": "uvx",
      "args": [
        "safe-fix-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": {
    "safe-fix": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "safe-fix-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.

Which apps can use it

Based on how this server connects and on each app’s own docs, checked Nov 10, 2026.

Run on your computer in

Claude Goose LM Studio Msty Studio Cherry Studio Cursor VS Code + GitHub Copilot Visual Studio Windsurf (Devin Desktop)Zed Kiro Cline Continue JetBrains AI Assistant Claude Code Codex CLI Gemini CLI OpenCode nodecode Warp LibreChat Raycast

All apps, with pros and cons →

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 11, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account pamela-0, which owns the repo
✓ Pass
Still maintained
Code last changed 3 months ago
… 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 Developer toolsi

More stars than 65% of the other 5731 servers in this category
Published to the registry more recently than 30% of the other 5731 servers in this category
Basic checks equal to or better than 100% of the other 5731 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 Safe Fix MCP safe?

It passed 2 of 2 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 3 months ago, and the latest version (0.1.1) reached the registry 3 months 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: REA, Netdata, Front-End Checklist

Alternatives

Servers in the same category from other makers, sorted by stars.

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

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Front-End Checklist

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Runs in the cloud

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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.

safe-fix-mcp

A real MCP server that finds dead code in a Python repository and proposes a branch + PR for the one class of finding that's actually safe to auto-remove: unused imports on a single-name import line. Everything else it finds — unused functions, classes, unused dependencies — stays report-only. A human always merges. This tool never merges anything itself.

Why this exists

Most "dead code" tools stop at reporting. The ones that go further usually delete with no safety net. This does neither: it drafts a real, minimal, reviewable PR, gated on the target repo's own full test suite actually passing after the removal — not a heuristic, a real pytest run. If the suite fails, nothing is committed or pushed; the repo is left exactly as it started.

Tools

`scan_dead_code(repo_path=".", min_confidence=60)`

Read-only. Runs vulture (dead code) and deptry (dependency issues) and returns a human-readable list of findings. Never modifies anything.

`propose_removal_pr(repo_path=".")`

Refuses on a dirty working tree — never edits on top of uncommitted work.
Filters to unused imports at ≥90% vulture confidence, on single-name import lines only (from x import y, z is skipped — removing the whole line would silently remove z too).
Creates a real branch, removes the qualifying imports, runs the repo's real full test suite.
Only on a real pass: commits, pushes, and tries to open a PR via gh pr create.
If gh isn't installed/authenticated, the branch is still committed and pushed for real — only PR creation degrades, with the real error returned so you can open it manually.

Install

pip install safe-fix-mcp

Add to your MCP client config (e.g. Claude Code):

claude mcp add safe-fix-mcp -- safe-fix-mcp

Or run directly for local testing:

python -m safe_fix_mcp.server

Installing from source instead of PyPI:

pip install -e .

Skill

A SKILL.md ships inside this same package — not a separate download — and teaches Claude when and how to use the two tools correctly (e.g. that propose_removal_pr only ever auto-removes single-name unused imports, never functions/classes/dependencies). Install it into your project:

safe-fix-mcp-install-skill

Run it from the project root you want the skill active in — it writes to .claude/skills/safe-fix-mcp/SKILL.md relative to your current directory.

Requirements

Python ≥ 3.10
git on PATH
gh (GitHub CLI) on PATH and authenticated, if you want propose_removal_pr to actually open the PR — without it, the branch still gets pushed for real, and the tool tells you to open the PR by hand.

Development

pip install -e ".[dev]"

pytest

Known limitation

vulture flags scan_dead_code/propose_removal_pr themselves as "unused" — a known false-positive class, not a real bug: they're dispatched by the @mcp.tool() decorator at runtime, not called directly anywhere in the source, so static call-graph analysis can't see the real caller (the MCP framework itself).

Verifying it for real

scripts/verify_real_client.py launches the packaged server as a real subprocess and talks to it with the real mcp.client.ClientSession — the same path a real MCP client uses. Useful as a smoke test after any change:

python scripts/verify_real_client.py

Safe Fix MCP

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

Which apps can use it

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 Developer toolsi

Common questions

Alternatives

REA

Netdata

Front-End Checklist

README from the maker

safe-fix-mcp

Why this exists

Tools

scan_dead_code(repo_path=".", min_confidence=60)

propose_removal_pr(repo_path=".")

Install

Skill

Requirements

Development

Known limitation

Verifying it for real

`scan_dead_code(repo_path=".", min_confidence=60)`

`propose_removal_pr(repo_path=".")`