hounddog MCP Server
hounddogai/hounddog
[](https://agentrank-ai.com/tool/hounddogai--hounddog/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge) Privacy Code Scanner and Dataflow Context Engine for AI coding agents
claude mcp add agentrank -- npx -y agentrank-mcp-server Overview
hounddogai/hounddog is a Shell tool. Privacy Code Scanner and Dataflow Context Engine for AI coding agents Topics: privacy, sast, scanner, ccpa, dataflow-analysis, eu-ai-act, gdpr, iso-42001, pii-detection.
Ranked #4313 out of 24846 indexed tools.
Actively maintained with commits in the last week.
Ecosystem
Score Breakdown
129 stars → growing community
Last commit 7d ago → actively maintained
1/2 issues closed → decent issue management
4 contributors → small team
No dependents → no downstream usage
Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →
How to Improve
Matched Queries
From the README
# HoundDog.ai **Deterministic Privacy Code Scanner for GDPR Data Mapping Evidence and Proactive AI Governance** HoundDog.ai builds lightweight, Rust-based code scanners that give you a living, code-derived view of the services, APIs, data flows, and external integrations across the software you build. Deterministic analysis, refreshed on every commit, across every repo. > Need org-wide gRPC service mapping for your AI coding agents, covering every service, API, and field across monorepos > and microservices? See [ProtoMap](https://github.com/hounddogai/protomap). ## Privacy Code Scanner The [Privacy Code Scanner](https://hounddog.ai/privacy-code-scanning/) provides deterministic, code-level evidence of sensitive data flows across logs, storage, APIs, third parties, and AI integrations. Surveys go stale. Privacy platforms infer flows after deployment. AI-only approaches produce inconsistent evidence and waste tokens on discovery. Our engine continuously maps what developers actualRead full README on GitHub →
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