See HoundDog.ai API Context Engine in Action

Any AI coding agent that supports the Model Context Protocol (MCP), including Claude Code, Cursor, GitHub Copilot, Codex, JetBrains AI, Windsurf, and OpenCode. The scanner can also be accessed directly through CLI and Skills, so it works with any agent or workflow that can invoke a local command.

Yes. The local scanner is free to download and use. It runs entirely on your machine, scans whatever code is available locally, and integrates with your AI coding agent through MCP, CLI, or Skills. No account, no time limit, no usage cap.

Yes. The local version is designed for individual developers and scans whatever code is on a single machine. The enterprise platform – currently in development – solves this at organizational scale.

It connects directly to your source code management platforms (GitHub, GitLab, Bitbucket), automatically pushes CI configuration to your selected repositories (even across thousands of them), runs scans entirely within your CI environment, and centralizes context across every repo – including cross-repo dependencies between microservices.

The result: a developer using the HoundDog.ai MCP server gets the right context at the right time for the repos they are working on and the repos that depend on them – without having to clone everything locally or run scans on their own machine.

The local scanner runs entirely on your machine. No code, no API definitions, and no metadata leaves your environment. The enterprise platform deploys within your own infrastructure or VPC and integrates with your existing CI environment, so source code never transits through HoundDog.ai infrastructure. The underlying engine is the same minimal-dependency Rust scanner used by Replit to detect privacy risks for 45 million creators, and HoundDog.ai is SOC 2 compliant.

Traditional developer service catalogs rely on YAML files, manual updates, and human-curated metadata that goes stale the moment someone ships a new consumer. The HoundDog.ai API Context Engine is a code-first service catalog – it is generated automatically from your protobuf files and service code, kept continuously in sync, and built from day one to feed AI coding agents through MCP. There is nothing for engineers to maintain by hand.

The Rust engine analyzes large codebases in seconds. The 200,000-line Go monorepo shown in the demo above scans in under 30 seconds.