MCP Servers for the Dataflow Context Engine
Native MCP servers for the HoundDog.ai Dataflow Context Engine are in active development. In the meantime, see how the engine delivers cross-repo API, service, and dataflow context to AI coding agents and engineering teams.
Native MCP Server Integrations Are Coming Soon
Native MCP server integrations for the Dataflow Context Engine are in progress. If your engineering organization wants to be an early design partner, reach out and we'll share roadmap details and target dates.
Book a Live DemoWhat the Dataflow Context Engine Delivers Today
A deterministic, always-fresh view of every API, field, and downstream consumer across your repositories, built for AI coding agents and engineering teams working in large monorepos and microservice estates.
Service Catalog & API Context
An always-fresh catalog of every API, field, and downstream consumer across your repos, traced from source code. Learn more
AI Coding Agent Context
Real-time codebase context for coding agents, cutting token costs on large repos while improving change safety. Learn more
Cross-Repo Dataflow
Trace dataflows across monorepos and microservice estates without asking each team to instrument or annotate their code. See how it works
Ship Safer API Changes With Always-Fresh Context
Give AI coding agents and engineering teams a deterministic view of every API, field, and downstream consumer, without waiting for stale documentation to catch up.