The API Context Engine for AI Coding Agents
HoundDog.ai API Context Engine is a developer service catalog that auto-generates gRPC documentation from your protobuf files and service code, and continuously feeds that context to AI coding agents. REST and GraphQL support coming soon. Built for the largest monorepos and most complex microservices architectures.
Built on the same Rust engine trusted by Fortune 1000 companies and by Replit to detect privacy risks for 45M creators.
Why AI coding agents fail on large codebases
In massive monorepos and complex microservices architectures spread across many repositories, AI coding agents struggle to understand which downstream services are affected by API changes.
Wasted time grepping
AI agents waste cycles grepping files to find API dependencies. They still miss cross-service connections buried deep in the codebase.
Broken downstream services
Generated code breaks downstream services because the agent lacks context about which services depend on the API being modified.
Manual context management
Developers compensate by manually curating context which is time consuming and error-prone.
Even if the context window size of foundational models have been gradually increasing, it is not practical or cost-effective to expect AI coding agents to infer API dependencies across millions of lines of code. For protocols like gRPC and GraphQL, context is fragmented across definition files and application code. Documenting gRPC APIs manually is especially painful: protobuf definitions live in .proto files, but service consumers and field usage live inside application code - there's no single source of truth.
Automated gRPC documentation and API context
HoundDog.ai API Context Engine provides multiple ways to integrate with your existing AI agents: CLI, local MCP and Skills.
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Identify which downstream services are affected by API changes
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Understand where specific fields are ingested by each service
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Map cross-service dependencies before generating code
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Reduce token burn and eliminate repetitive file scanning
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Export API graphs locally for documentation and collaboration
Better AI-generated code, faster development
Less buggy code
Do not waste cycles fixing generated code that breaks API functionality or brings down services.
Faster development
Do not wait for your AI coding agent to grep files and assemble context on its own. HoundDog.ai API Context Engine provides API context automatically.
Lower cost
Do not waste tokens on code that can be statically analyzed more efficiently and deterministically. HoundDog.ai API Context Engine gives agents the context needed to reason about API dependencies.
MCP server, CLI, and Skills integration
HoundDog.ai API Context Engine integrates with your existing AI agents using mainstream methods including local MCP server, CLI and Skills.
Easy Integration
Connect via MCP, CLI, or Skills. Works locally with your AI coding agents.
Private static analysis
The analysis runs completely locally and only accesses the code that exists on your machine. Nothing leaves your environment.
Built in Rust
The engine is extremely lightweight and fast. Built in Rust, it can analyze millions of lines of code in less than a minute.
Scales with complexity
The larger and more complex the codebase, the more valuable HoundDog.ai API Context Engine becomes. It thrives where other tools struggle.
Compatible with every major AI coding agent
HoundDog.ai API Context Engine supports any AI coding agent that implements the MCP protocol.
Cursor Codex Claude Code GitHub Copilot JetBrains AI OpenCode Windsurf Protocol support: gRPC, GraphQL, REST, Apache Thrift
Starting with gRPC and expanding to GraphQL, REST, and Apache Thrift.
gRPC
Available June 2026
GraphQL, REST, Apache Thrift
Pricing for the API Context Engine
Get started at no cost. Scale with your team when you are ready.
Individual
- Supports gRPC, GraphQL, REST, and Apache Thrift
- Scans whatever code is available on your machine
- Provides local API graphs for documentation
- Works with any MCP-compatible AI agent
Enterprise
- Deploy on prem within your organization
- Connect directly to your source code management platform
- Automatically scan selected repositories with no local checkout required
- Run scans in CI and on every pull request
- Keep API graphs and documentation continuously updated and synced to Notion and Confluence
- Explore your codebase with advanced search and rich visualizations
Enterprise-grade security
Your code never leaves your machine. Our engine is battle-tested by the world's most demanding organizations.
SOC 2 Compliant
We publish our SBOM and penetration test reports in our Trust Center.
Minimal dependency Rust engine
HoundDog.ai API Context Engine is built using the same minimal dependency Rust engine that powers HoundDog.ai's privacy code scanner.
Battle-tested at scale
Trusted by Replit to detect privacy risks for 45M creators running 10,000 scans per day.
Get early access
Are you working on large code repositories and struggling to give your AI coding agents the right context every time? Join our waitlist and get early access to HoundDog.ai API Context Engine when it becomes available in June 2026.