- Deterministic service chart for gRPC/Protobuf systems: ProtoMap immediately draws out relationships throughout services, APIs, and protobuf fields. It tracks which services call which, and which messages are exchanged, utilizing fixed analysis so that every dedicate yields a constant view.
It does not utilize AI for detection of service relations; AI is utilized additionally for analyzing and querying outcomes.
Functions out of package with languages such as Go, Java, C#, Kotlin, Python, Rust, Swift, TypeScript, and JavaScript.
Scans.proto files and recognizes customers and call websites throughout monorepos or microservice landscapes.
No construct action or compiler is required for detection; the scan checks out source files straight.
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Assistance for engineers and AI coding representatives by means of MCP: Queries can be made in plain English by means of a web assistant or straight from AI coding representatives over the Model Context Protocol (MCP). This helps with cooperation in between human engineers and self-governing representatives without replicating discovery jobs.
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Blast-radius and dependence analysis: Useful for evaluating existing or scheduled modifications, such as relabeling a field, customizing service habits, or deprecating RPCs. ProtoMap reveals multi-hop dependences, call courses, and all call websites affected. It likewise determines unused or orphaned RPCs.
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Constant scanning and combination with CI: For business usage, scans run in CI pipelines and upgrade service charts on every devote or pull demand; incorporates with platforms like GitHub, GitLab, and Bitbucket. Cloud or on-premises implementation choices aid make sure security, compliance, and consistency.
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Benchmarked enhancements: In tests throughout 9 big gRPC repos, ProtoMap accomplished around 6.4 × faster reactions and 5.3 × expense decreases for triggers when utilizing an AI coding representative through MCP, without jeopardizing precision. It likewise cuts token use substantially.
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Security and implementation: Runs in your area or completely self-hosted on-premises for business consumers. The self-hosted platform consists of a web UI, CLI scanner, and Docker Compose-based architecture. Code never ever leaves the company’s facilities under both complimentary regional and business usage.
Rates
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Free (regional usage/ specific designer): ProtoMap can be set up on a regional device. For private designers or little groups scanning code in your area, the tool is offered at no charge. The regional scanner produces API charts and supports MCP-compatible representatives.
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Business tier: For organization-wide implementation and constant scanning throughout lots of repositories, live CI combination, hosting in cloud or on-premises, GitHub, GitLab, and Bitbucket combination, advanced security functions such as SOC 2, audit logs, RBAC, and SSO, plus central governance. Rates for Enterprise is offered by means of quote and depends upon the variety of contributing designers.
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For associated tools: Similar structure uses to Personal Privacy Code Scanner and Dataflow Context Engine — totally free for regional, point-in-time scanning; business strategies with more comprehensive combinations and compliance-related functions are priced at $200 per designer annually for the Privacy Code Scanner business tier. For the Dataflow Context Engine, business prices is custom-made.
Who is it for?
ProtoMap is finest matched to companies and functions where gRPC-based microservices architecture, protobuf messaging, or big monorepo setups prevail. Its greatest fits consist of:
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Platform engineering and designer performance groups charged with keeping dependability and consistency throughout complicated service landscapes. ProtoMap helps in reducing the threat of breaking modifications by clarifying dependence courses and effect zones.
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AI engineering groups or companies utilizing AI coding representatives, especially those suitable with MCP. They gain from decreased token use, quicker timely resolution, and less duplicated discovery work.
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Companies in managed markets such as financing and health care, or companies with strong compliance requirements. They might require audit routes, exact provenance of API use, service ownership, or field-level governance; ProtoMap provides deterministic context and on-premises or cloud implementation with compliance controls.
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Organizations dealing with regular refactors, schema modifications, or wanting to retire unused services or fields. ProtoMap can assist discover dead RPCs or unused fields dependably.
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Designers or smaller sized groups wishing to check out context mapping or API graphing in your area before scaling to enterprise-wide release.
ProtoMap is less crucial for extremely little codebases without gRPC or protobuf, or when services are unimportant in number or scope, where the overhead of setup might surpass the advantages.
Last ideas
ProtoMap uses a strong, technically well-founded method to lowering friction and threat in complicated service-of-services codebases. Its deterministic fixed analysis, MCP connection, and business functions deal with relentless discomfort points around context discovery, burst expense, and schema governance. Integrated with its complimentary regional tier, it makes it possible for experimentation while using scalable courses for massive usage. For companies constructing with gRPC and protobufs, specifically those incorporating AI coding tools, ProtoMap is a tool worth examining seriously.
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