MCP Shield

Communauté Sécurité

Static security scanner for MCP servers and agent tools: detects secrets, shell execution, risky tool descriptions, environment access and prompt injection.

Que pouvez-vous faire avec MCP Shield ?

  • runs as both a CLI and an MCP server
  • built on the official MCP Python SDK
  • CI-friendly severity gates
  • text, JSON, Markdown, and SARIF output
  • inline suppressions with rule IDs
  • .mcp-scan-ignore for fixtures and intentional demos

Installation

Les étapes d'installation sont dans la documentation ci-dessous. Documentation

Documentation

Tirée du README du projet sur GitHub, actualisée chaque semaine. Les liens ouvrent GitHub.

Sommaire
  1. MCP Shield
  2. Why MCP Shield
  3. Features
  4. What It Finds
  5. Install
  6. MCP Server
  7. Usage
  8. Ignore Files
  9. Suppressions
  10. Example
  11. GitHub Actions
  12. Roadmap
  13. Repository Topics
  14. Scope
  15. Help It Grow

MCP Shield

Security scanner and MCP server for Model Context Protocol servers, tools, prompts, and AI agent projects.

MCP gives agents access to tools. MCP Shield helps you catch the obvious dangerous parts before they reach production: leaked secrets, shell execution, risky tool descriptions, prompt-injection text, and CI-breaking security regressions.

mcp-scan .
[HIGH] code.shell_true server.py:42
  Shell execution is enabled.
  subprocess.run(cmd, shell=True)

[CRITICAL] secret.literal .env:1
  Possible hard-coded secret.
  OPENAI_API_KEY="sk-..."

Why MCP Shield

MCP servers often expose powerful capabilities: filesystem access, shell commands, network calls, credentials, browser automation, databases, and internal tools.

That is exactly where small mistakes become expensive:

  • a tool description encourages unsafe behavior
  • a test key becomes a real leaked token
  • an agent can call a shell command with user-controlled input
  • a prompt or resource contains injection text
  • CI has no security gate for MCP-specific risks

MCP Shield is the simple first line of defense: fast static checks, useful output, and a non-zero exit code when risk crosses your threshold.

Features

  • runs as both a CLI and an MCP server
  • built on the official MCP Python SDK
  • CI-friendly severity gates
  • text, JSON, Markdown, and SARIF output
  • inline suppressions with rule IDs
  • .mcp-scan-ignore for fixtures and intentional demos

What It Finds

RiskExamples
Hard-coded secretsAPI keys, tokens, passwords, private keys
Process executionsubprocess, child_process, shell=True
MCP tool risktools named or described as delete, shell, token, secret, filesystem
Environment accessos.environ, process.env
Prompt injection text"ignore previous instructions", system prompt leakage phrases

Install

From a local checkout:

pip install .

Run without installing:

python -m mcp_security_scanner.cli .

MCP Server

Run MCP Shield as a stdio MCP server:

mcp-shield-server

Available tools:

  • scan_path_tool - scan a local MCP server or agent project
  • list_rules - list rule IDs and descriptions

Example Claude Desktop-style command:

{
  "mcpServers": {
    "mcp-shield": {
      "command": "mcp-shield-server"
    }
  }
}

Usage

mcp-scan .
mcp-scan path/to/mcp-server
mcp-scan . --format json
mcp-scan . --format markdown --output mcp-security-report.md
mcp-scan . --format sarif --output mcp-shield.sarif
mcp-scan . --fail-on medium

Formats:

  • text for humans
  • json for automation
  • markdown for PR comments and reports
  • sarif for GitHub code scanning

Severity gates:

  • low
  • medium
  • high
  • critical

--fail-on high exits with code 1 when any high or critical finding exists.

Ignore Files

Create .mcp-scan-ignore in the scanned directory:

tests/
fixtures/
examples/unsafe-demo.py

Use this for intentional fixtures and demos. Do not use it to hide production risks.

Suppressions

Suppress a reviewed finding on the same line:

subprocess.run(cmd)  # mcp-shield: ignore code.subprocess

Use all only for test fixtures:

subprocess.run(cmd, shell=True)  # mcp-shield: ignore all

Example

Scan the intentionally unsafe example:

python -m mcp_security_scanner.cli examples/unsafe-mcp-server --fail-on critical

GitHub Actions

name: MCP security scan

on: [push, pull_request]

jobs:
  scan:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - uses: actions/setup-python@v5
        with:
          python-version: "3.12"
      - run: pip install .
      - run: mcp-scan . --fail-on high

Roadmap

  • MCP SDK-aware parsing for Python and TypeScript servers
  • safer default rule pack for enterprise MCP servers
  • prompt/resource-specific injection checks
  • PyPI release for pipx install mcp-shield

Repository Topics

Add these GitHub topics for discovery:

mcp, model-context-protocol, ai-agents, security, security-tools, scanner, devtools, llm, prompt-injection, static-analysis

GitHub recommends repository topics because they help people discover and contribute to projects by purpose and subject area.

Scope

MCP Shield is a static heuristic scanner. It catches common risks early, but it is not a full security audit.

Help It Grow

MCP security is moving fast. The most useful contributions right now are real-world unsafe MCP examples, low-noise detection rules, and CI integrations.

If MCP Shield catches something useful, star the repo so more MCP builders can find it.

Questions fréquentes

Qu'est-ce que MCP Shield ?

Static security scanner for MCP servers and agent tools: detects secrets, shell execution, risky tool descriptions, environment access and prompt injection.

Comment installer MCP Shield ?

Suivez les étapes d'installation de sa documentation, affichée sur cette page et dans son dépôt.

MCP Shield est-il open source ?

Oui. Son code est sur GitHub sous licence MIT.

Qui maintient MCP Shield ?

Il est publié par rob925. AI.tn le référence sans le maintenir ni le recommander.

Issu des listes communautaires awesome-mcp-servers et du dépôt GitHub du projet. Être listé n'est pas une recommandation : vérifiez le code et les permissions d'un serveur avant de lui donner accès à vos données.