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ProtoMap · CI Integrations

Keep AI context fresh with every build

AI coding agents are only as useful as the context they can access. In large codebases, that context changes every time services, APIs, fields, consumers, or dependencies change. ProtoMap integrates directly into your CI workflows to continuously regenerate this context from source code.

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Fully automatedDirect source code integrationsProtoMap Enterprise pushes tailored CI configurations to every selected repo.
Cloud and enterprise editions
ProtoMap Enterprise
Pushes CI configs
as direct commits or pull requests requiring approval
ProtoMap scan added
checkout
cart
payments
shipping
email
currency
auth
catalog
frontend
… across thousands of repos, in minutes
SupportedJenkins, Azure Pipelines, CircleCI and other CI platformsProtoMap runs on any CI platform. These aren’t configured automatically, but you can point your AI coding agent at your CI configuration and ask it to add a ProtoMap scan job, without much effort.
Your AI coding agent
Add a job to our Jenkinsfile that runs the ProtoMap scan on every pull request.
What CI regenerates

One deterministic chain, recomputed as your code changes

Code→service→API→method→field→consumer→callsite

Our fast, deterministic analysis engine runs on standard CPU infrastructure with minimal impact on CI latency. Instead of asking AI agents to repeatedly search repositories and reconstruct the same relationships, ProtoMap computes those relationships once and refreshes them as your code changes.

The resulting evidence can power your service catalog, API and gRPC discovery, microservices documentation, change blast radius analysis, and organization wide context for AI coding agents. Through MCP, authorized agents such as Claude Code can query this continuously updated context whenever they need it.

Division of labor

Use AI where reasoning adds value. Let CI handle the deterministic discovery.

Deterministic discovery runs in CI. The MCP server delivers structured traces, not raw source code. AI agents reason over facts they no longer have to rediscover.

1Static analysis discovers.
2AI reasons.
3MCP delivers.
What ships to your agents

What ProtoMap delivers

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 →
Start on one laptop, roll out org-wide

For “human” engineers first. Then for every AI coding agent.

Step 1 · Free

Install it on your machine

Install the ProtoMap web platform and CLI and query your organization’s service graph in plain English. Free for whatever code is scanned on your machine.

  • Self-hosted platform and CLI scanner
  • Bring your own AI provider: Anthropic, OpenAI, Google and others
  • MCP for your coding agent, with your local changes laid over the graph
$ curl -fsSL https://protomap.ai/install.sh | sh Install ProtoMap Free
Step 2 · Enterprise

Keep the graph fresh org-wide

The enterprise version keeps the service graph fresh across your entire organization, so agents stop cloning repositories they don’t own.

  • Cloud hosted or deployed on-premises in your org
  • Direct integrations with GitHub, Bitbucket, and GitLab
  • Runs scans in CI on every pull request
  • HoundDog.ai’s MCP Server gives every agent the full service map
Book a Demo

Let CI do the discovery

Compute the facts once, refresh them on every build, and let every authorized AI agent reason over context that is already current.

Install ProtoMap Free Book a Demo