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PopNx MCPMCP servers for people who use AI · explained in plain words

Sheriff

by ryansmith4version 1.0.2i★ –iRuns on your computer
Registry nameio.github.ryansmith4/sheriff-mcp

Install

Overview

Description from the maker (original English)

MCP server for fixing static analysis issues from SARIF reports with AI agents

PopNx MCP’s three pillars

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

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: 1 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

Which app do you use?

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": {
    "sheriff": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "ghcr.io/ryansmith4/sheriff-mcp:1.0.2"
      ]
    }
  }
}

Run this in your terminal

claude mcp add sheriff -- docker run -i --rm ghcr.io/ryansmith4/sheriff-mcp:1.0.2

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "sheriff": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "ghcr.io/ryansmith4/sheriff-mcp:1.0.2"
      ]
    }
  }
}

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": {
    "sheriff": {
      "type": "stdio",
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "ghcr.io/ryansmith4/sheriff-mcp:1.0.2"
      ]
    }
  }
}

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 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account ryansmith4, which owns the repo

  • … 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 32742 servers in this category
  • Published to the registry more recently than 5% of the other 32742 servers in this category
  • Basic checks equal to or better than 100% of the other 32742 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 Sheriff safe?

It passed 1 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 (1.0.2) reached the registry 8 months ago.

Which apps can use it?

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

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, Asset Notation

Alternatives

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

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

Spec Driven Development

by formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

Runs on your computer★ 440MITUpdated 14 months ago
Install

Remote Desktop Commander

by desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

Runs in the cloud★ 211Updated 2 days ago
Install

Asset Notation

by assetnotation

Read and maintain an Asset Notation file on disk: net worth, holdings, valuations, CSV import.

Runs on your computerUpdated today
Install

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.

Sheriff-MCP

Sheriff is an MCP server that helps AI agents efficiently fix static analysis issues from SARIF reports.

[Documentation](https://ryansmith4.github.io/sheriff-mcp/) | [Installation](https://ryansmith4.github.io/sheriff-mcp/getting-started/installation/) | [Tool Reference](https://ryansmith4.github.io/sheriff-mcp/tools/)


Why Sheriff?

AI agents struggle with large static analysis reports:

  • Context overload - 100+ issues overwhelm context windows
  • Lost progress - Work is lost on context compaction or session restart
  • Inefficient navigation - No batching means jumping between files repeatedly

Sheriff solves this by acting as a work queue manager:

  • Intelligent batching - Issues grouped by file for efficient fixing
  • Persistent progress - State survives compaction, restarts, and agent switches
  • Scope filtering - Focus on specific rules, severities, or file patterns
  • Compact responses - Minimal context usage with abbreviated field names
Supported Static Analysis Tools

Sheriff works with any tool that produces SARIF output:

ToolLanguageSARIF Command
QodanaJava/Kotlin/JS/Pythonqodana scan
SemgrepMulti-languagesemgrep --sarif -o results.sarif
ESLintJavaScript/TypeScripteslint --format @microsoft/sarif
CodeQLMulti-languageBuilt-in SARIF output
SpotBugsJavaspotbugs -sarif
BanditPythonbandit -f sarif
CheckovIaCcheckov -o sarif
TrivyContainer/IaCtrivy --format sarif
SonarQubeMulti-languageBuilt-in SARIF export

Quick Start

1. Install

JAR (All Platforms) — Requires Java 21+

Download sheriff-mcp-1.0.2-all.jar from Releases.

Docker

docker pull ghcr.io/ryansmith4/sheriff-mcp:latest

MCP Registry

Clients that support the MCP Registry can install directly by name: io.github.ryansmith4/sheriff-mcp

See the Installation Guide for full details.

2. Configure Your MCP Client

Add Sheriff to your MCP client (Claude Code, Cursor, ChatGPT Desktop, etc.):

{

"mcpServers": { "sheriff": { "command": "java", "args": ["-jar", "/path/to/sheriff-mcp-1.0.2-all.jar", "start"] } } }

Or with Docker:

{

"mcpServers": { "sheriff": { "command": "docker", "args": ["run", "-i", "--rm", "-v", ".:/data", "ghcr.io/ryansmith4/sheriff-mcp:latest"] } } }

See the Agent Setup Guide for client-specific instructions and recommended agent instructions.

3. Use It
1. Run static analysis     →  qodana scan
  1. Load into Sheriff → sheriff load target="results.sarif"
  2. Get next file's issues → sheriff next
  3. Fix all issues in file → [edit the code]
  4. Mark as done → sheriff done fps=[...] status="fixed"
  5. Repeat 3-5 → until remaining = 0

Sheriff exposes a single sheriff tool with 7 actions: load, next, done, progress, summary, reopen, and export. See the Tool Reference for full documentation.


Example Session

User: "Fix all ConstantValue issues in my codebase"

Agent: sheriff load target="build/qodana/qodana.sarif.json" → 136 total issues, 22 ConstantValue, 15 unused...

Agent: sheriff next scope={rule: "ConstantValue"} → 3 issues in Service.java with code snippets

Agent: [reads Service.java, fixes all 3 issues]

Agent: sheriff done fps=["88d32cab35478753", "ab1c2d3e12345678", "f9e8d7c6a1b2c3d4"] status="fixed" → 3 marked fixed, 19 remaining

... continues until remaining = 0


Security

All release artifacts are signed with Sigstore for supply chain security.

Verify JAR:

VERSION=1.0.2

cosign verify-blob \ --signature sheriff-mcp-${VERSION}-all.jar.sig \ --certificate sheriff-mcp-${VERSION}-all.jar.pem \ --certificate-identity-regexp "https://github.com/ryansmith4/sheriff-mcp" \ --certificate-oidc-issuer "https://token.actions.githubusercontent.com" \ sheriff-mcp-${VERSION}-all.jar

Verify Docker image:

cosign verify ghcr.io/ryansmith4/sheriff-mcp:latest \

--certificate-oidc-issuer=https://token.actions.githubusercontent.com \ --certificate-identity-regexp="github.com/ryansmith4/sheriff-mcp"

See SECURITY.md for our security policy.


Contributing

Contributions welcome! See CONTRIBUTING.md for guidelines.

License

Apache License 2.0 - see LICENSE

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