mcp-gateway-scan

mcp-gateway-scan

Static scanner for MCP/agent-gateway readiness anti-patterns, providing a 7-dimension R/Y/G score by scanning code and config for common failure modes.

Category
Visit Server

README

mcp-gateway-scan

npm version Glama server License: MIT

Read-only static scanner for MCP / agent-gateway production-readiness anti-patterns. Point it at a repo, get a 7-dimension red/yellow/green score in seconds.

Built by the team behind the Provenwright MCP Gateway Readiness Audit — a full cited audit with evidence index, scored gap matrix, and 90-day roadmap. Full audit: willianpinho.com/mcp-audit

npx mcp-gateway-scan ./path/to/your/gateway

It scans your code and config for the failure modes that turn an MCP gateway from a demo into an incident — authorization decided by the model, error handlers that fail open, unpinned supply chains, dark traces, unbounded spend, inline secrets, and missing operational levers — and prints exactly where each one lives.

100% read-only. It only reads files. It never executes your code, never makes network calls, and never prints a secret value — for inline-secret hits it reports the location only (<file:line>), with the value redacted.


Install

# one-off
npx mcp-gateway-scan <path>

# or global
pnpm add -g mcp-gateway-scan
mcp-gateway-scan <path>

Requires Node ≥ 18.

Usage

mcp-gateway-scan <path> [options]

Options:
  --json          Machine-readable JSON instead of the terminal report
  --ci            Compact, no-color output for pipelines; exits 1 on any RED
  --no-color      Disable ANSI colors
  -h, --help      Show help
  -v, --version   Print version

Exit codes:
  0  no red dimensions
  1  one or more red dimensions
  2  usage / IO error

Run it inside Claude Code / Cursor (MCP server)

The same package can also run as an MCP server so your agent runs the scan conversationally — just ask it to "scan this repo for gateway-readiness".

Claude Code (one command):

claude mcp add gateway-scan -- npx -y mcp-gateway-scan mcp

Cursor / any MCP client — add to your .mcp.json:

{
  "mcpServers": {
    "gateway-scan": {
      "command": "npx",
      "args": ["-y", "mcp-gateway-scan", "mcp"]
    }
  }
}

Then ask your agent to run the scan_gateway tool:

  • Input: { "path": "<repo or dir>", "ci": false } (ci optional — adds the CI gate verdict).
  • Output: a per-dimension 🟢🟡🔴 summary + the structured result. Read-only; scans only the path you give it; secret values stay redacted (location only, never the value).

Same package, two modes — mcp-gateway-scan mcp is the server (use it from your agent); the default mcp-gateway-scan <path> is the CLI (run it directly in a terminal or CI). The mcp subcommand does not change the CLI behavior.

Or find it on Glama

mcp-gateway-scan is listed on the Glama MCP directory, where you can inspect its tool schema, Try it in the browser, or deploy the containerized server straight from the listing. The build spec and release process are documented in docs/glama-release.md.

Example output

  [RED] D2 Fail-close / fail-open posture  S1
        Error handlers on the call path return allow/true/ok or pass — the
        system fails OPEN. A degraded auth/policy check silently becomes
        'allow'. Launch blocker.
        ✗ gateway.ts:23  fail-open on error path  return { allowed: true };

  [GREEN] D6 Security, secrets & identity  S1
        No inline secrets; credentials referenced from a manager/env and
        IDP/OIDC identity wiring is present.
        ✓ docker-compose.yml:7  secret-manager / env reference  DATABASE_URL: op://Production/gateway-db/url

  SCORE
  ┌────────┬──────────────────────────────────────────┬─────────┬──────────┐
  │ Dim    │ Title                                      │ Status  │ Severity │
  ├────────┼──────────────────────────────────────────┼─────────┼──────────┤
  │ D1     │ Tool-access governance & RBAC              │ RED     │ S1       │
  │ ...    │ ...                                        │ ...     │ ...      │
  └────────┴──────────────────────────────────────────┴─────────┴──────────┘

  0 green  0 yellow  7 red

Wire it into CI

--ci prints a compact, greppable summary and exits non-zero on any red dimension, so a regression (a new fail-open handler, an unpinned image, a committed secret) fails the build:

# .github/workflows/gateway-readiness.yml
- name: MCP gateway readiness scan
  run: npx mcp-gateway-scan ./gateway --ci
RED    D2 S1 Fail-close / fail-open posture (findings=1)
RESULT green=4 yellow=2 red=1
VERDICT FAIL — red dimension(s) present; see findings above.

The 7 dimensions

Dim Checks for
D1 Tool-access / RBAC Authorization expressed in prompts; absence of a gateway policy layer
D2 Fail-close catch/except blocks that return allow/true/ok/pass; missing timeouts
D3 Onboarding / supply chain :latest, @main, npx -y …@, unpinned images; rewards sha256: / integrity
D4 Observability Presence/absence of OTel / traceparent / spans; raw prompts in logs
D5 Routing / cost Missing max_tokens / budget / rate-limit / quota
D6 Secrets / identity Inline secret literals (location only, value redacted); rewards op:// / vault: / process.env; IDP/OIDC
D7 Prod-readiness Missing kill-switch / feature-flag, 429 / rate-limit, eval / red-team gate

Each dimension is scored 🟢 green / 🟡 yellow / 🔴 red with a severity tag, plus the matched evidence (file:line). The methodology behind the rubric maps to OWASP Top 10 for LLM Applications, the MCP spec (2025-06-18), and OpenTelemetry GenAI semantic conventions.

Try it on the bundled fixtures

mcp-gateway-scan fixtures/secure      # mostly green
mcp-gateway-scan fixtures/vulnerable  # mostly red

The fixtures/vulnerable tree contains only fake, non-functional placeholder secrets (sk-EXAMPLENOTREAL…, AKIAEXAMPLE…) so you can see the redacted-secret output safely.

Accuracy

Every finding is meant to be defensible to a skeptical senior engineer. The scanner distinguishes prompt content (a system-message string / YAML prompt field) from code that merely documents a pattern — so a doc comment quoting rg 'only use|if the user is admin' is not flagged as authorization-in-prompt, while the same words inside a real system prompt are. Comment lines and grep-recipe / regex documentation are suppressed across all dimensions, and "control present" signals are matched in code/config, not prose.

What this is (and isn't)

This is a fast, free heuristic wedge — a static pattern scanner. A green score is a good signal, not a guarantee; a red score is a concrete pointer to fix. It does not run fault-injection, inspect your live IAM/IDP, or read your traces. That depth is what a full MCP Gateway Readiness Audit provides: a cited Gap Matrix and a sequenced 90-day remediation roadmap.

This scanner (free, MIT) Full MCP Gateway Readiness Audit (paid)
Method static pattern checks read-only review of your live codebase
Live tests fault-injection (F1–F5), trace verification
Evidence matched line per-finding file:line in an evidence index
Output 7-dimension score cited gap matrix + severity + sequenced 90-day roadmap
Delivery instant, automated expert engagement + live review session

Need the full audit? This scanner is a free heuristic wedge. The Provenwright MCP Gateway Readiness Audit goes deeper: read-only assessment of your live codebase, per-finding evidence (file + line), a cited Gap Matrix, and a sequenced 90-day remediation roadmap.

See a sample report: provenwright.com/sample/
Full audit info: willianpinho.com/mcp-audit
Book a 15-min call: cal.com/willianpinho
Email: me@willianpinho.com

License

MIT © Willian Pinho

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured