The AI Security Scanner Market in 2026

AI coding agents need security scanning that works inside their workflow — not as an afterthought. Two MCP servers dominate the space: Zfuzz and Semgrep MCP. We tested both across 15 open-source repositories to produce this data-driven comparison.

The core difference: Zfuzz is an all-in-one security platform (SAST + SCA + secrets + threat modeling) delivered as a single MCP install. Semgrep MCP focuses on custom SAST rule authoring with access to the Semgrep community registry. Both run 100% locally with zero API costs.

Feature Comparison Matrix

CapabilityZfuzz MCPSemgrep MCP
SAST Rules441 built-in (7 languages)3,000+ community registry
SCA / Dependencies10 ecosystems (OSV.dev)Not included
Secret Scanning430+ patterns + entropyNot included
Threat ModelingSTRIDE + MITRE (75 techniques)Not included
MCP Config AuditYes (tool poisoning, SSRF)No
Custom RulesYAML (limited)Full DSL (powerful)
Install Commandclaude mcp add zfuzz -- npx @zfuzz/mcpclaude mcp add semgrep -- npx @semgrep/mcp
PriceFree (open source)Free tier + paid plans
PlatformsClaude Code, Cursor, Codex, Gemini CLI, 4 moreClaude Code, Cursor

SAST Coverage: Breadth vs Depth

Zfuzz ships 441 SAST rules covering JavaScript, TypeScript, Python, Go, Java, Rust, and C#. These include 204 rules inspired by top Semgrep community patterns, meaning you get the best of both worlds without configuring anything. In our test across 15 repos, Zfuzz flagged 127 findings with a 12% false-positive rate.

Semgrep MCP gives you access to the full Semgrep registry — over 3,000 rules. The power is in custom rule authoring: if your team has organization-specific patterns (internal API misuse, custom auth bypass), Semgrep's DSL is unmatched. However, out-of-the-box coverage requires selecting and enabling rule packs manually.

Beyond SAST: Where Zfuzz Pulls Ahead

The biggest differentiator is scope. Zfuzz covers four security domains in one tool:

  1. SAST — 441 rules with taint analysis (source → sink tracking for JS/TS and Python)
  2. SCA — Dependency scanning across 10 lockfile formats (npm, pip, Cargo, Go, Maven, Composer, Gemfile, pubspec, Package.resolved, mix.lock) via OSV.dev batch API
  3. Secrets — 430+ regex patterns covering AWS, GCP, Azure, Stripe, OpenAI, Anthropic, plus Shannon entropy analysis for unknown token formats
  4. Threat Modeling — STRIDE analysis and MITRE ATT&CK mapping for 75+ techniques, with natural-language explanations

Semgrep MCP does one thing — SAST — and does it very well. But for AI agent workflows where you want a single "scan my project" command, Zfuzz provides broader coverage without juggling multiple tools.

Setup and Developer Experience

Both install in under 30 seconds. Zfuzz:

claude mcp add zfuzz -- npx @zfuzz/mcp

Then ask your agent: "Scan this project for security issues." Zfuzz runs SAST, SCA, secrets, and returns structured findings with severity, CWE IDs, and remediation steps.

Semgrep MCP:

claude mcp add semgrep -- npx @semgrep/mcp

Semgrep's strength shows when you ask: "Write a Semgrep rule to detect our custom auth bypass pattern." The rule authoring DX is best-in-class.

Our Recommendation

Use Zfuzz if you want broad, zero-config security coverage across SAST, SCA, secrets, and threat modeling. Best for solo developers and small teams who need maximum coverage with minimum setup.

Use Semgrep if you need custom rule authoring for organization-specific patterns. Best for security teams with dedicated AppSec engineers who write and maintain custom rules.

Use both if you want Zfuzz's breadth plus Semgrep's custom rule depth. They coexist without conflicts.

Get Started

claude mcp add zfuzz -- npx @zfuzz/mcp

GitHub · npm · Zero API cost · 100% local