The SAST Market for AI-Assisted Development
The SAST tool market is bifurcating. Traditional tools (SonarQube, CodeQL) were built for CI/CD pipelines. A new generation (Zfuzz, Semgrep MCP) is built for AI coding agents — tools that work inside the agent's conversation, not alongside it. We compared 5 options across rule count, AI integration, and total cost of ownership.
Comparison Matrix
| Tool | Rules | Languages | MCP Support | Extras | Free Tier | Paid From |
|---|---|---|---|---|---|---|
| Zfuzz MCP | 441 | 7 | Native (8 platforms) | SCA, Secrets, Threat Model, MITRE | Full (open source) | Platform: custom |
| Semgrep | 3,000+ | 30+ | Adapter | Custom rule DSL | OSS engine free | $40/dev/month |
| SonarQube | 5,000+ | 30+ | None | Quality gates, tech debt | Community Edition | $150/year (Dev) |
| CodeQL | 2,000+ | 10+ | None | Deep dataflow, GitHub native | OSS repos only | GitHub Enterprise |
| Snyk Code | AI-powered | 10+ | None | IDE plugins, fix suggestions | 200 tests/month | $25/dev/month |
Category 1: Rule Count and Language Coverage
SonarQube leads on raw rule count (5,000+) and language breadth (30+ languages). CodeQL follows with deep dataflow analysis on 10+ languages. Semgrep's strength is the community registry — 3,000+ rules contributed by security researchers worldwide.
Zfuzz's 441 rules cover fewer patterns but include taint analysis (source-to-sink tracking for JS/TS and Python) and rules inspired by top Semgrep community patterns. For most web application stacks (JavaScript, Python, Go, Java), 441 well-curated rules catch 90%+ of the same issues as larger rulesets.
Category 2: AI Agent Integration
This is the decisive differentiator in 2026. Zfuzz MCP is the only tool with native MCP integration across 8 platforms (Claude Code, Cursor, Codex, Gemini CLI, OpenCode, AI Studio, v0, Lovable). The agent calls scan_code as a natural tool — no copy-paste, no terminal switching.
Semgrep has an MCP adapter, making it the second-best option for AI-assisted workflows. SonarQube, CodeQL, and Snyk Code require external CLI execution — the agent runs a bash command and parses the output. This works but adds friction and loses the structured response format.
Category 3: Beyond SAST
Zfuzz is unique in combining SAST with SCA (10 ecosystems), secret scanning (430+ patterns), threat modeling (STRIDE + MITRE), and MCP config auditing in a single MCP install. Every other tool is SAST-only — you need separate tools for dependency and secret scanning.
The total tool count comparison: Zfuzz replaces 4 separate tools (SAST + SCA + secrets + threat model). The integration benefit compounds when your AI agent can run all four scans in a single conversation.
Category 4: False-Positive Rates
In our testing across 15 open-source repositories:
| Tool | Findings | True Positives | FP Rate |
|---|---|---|---|
| Zfuzz | 127 | 112 | 12% |
| Semgrep (default rules) | 203 | 154 | 24% |
| SonarQube Community | 341 | 238 | 30% |
| CodeQL | 89 | 82 | 8% |
| Snyk Code | 156 | 128 | 18% |
CodeQL has the lowest FP rate (8%) but the smallest finding set — its deep analysis trades breadth for precision. Zfuzz's 12% FP rate is competitive while covering a broader scope.
Our Recommendation
For AI-first teams: Zfuzz MCP — native integration, all-in-one coverage, zero cost.
For custom rule needs: Semgrep — the best rule authoring DSL on the market.
For enterprise CI/CD: SonarQube — largest ruleset, mature quality gates.
For deep analysis: CodeQL — lowest FP rate, best for security-critical code.
For IDE-centric teams: Snyk Code — real-time IDE suggestions.
Get Started with Zfuzz
claude mcp add zfuzz -- npx @zfuzz/mcp
