The map your microservices never had.
Cartomap maps your microservice estate into a graph your team — and your AI agents — can query. Ask “what breaks if I change this?” and get a sourced answer in seconds, not an afternoon of grep.
Your estate is a black box. Every change is a guess.
It lives in senior engineers’ heads, grep can’t see across repos, and AI agents fill the gaps by guessing.
“Who calls this? What breaks if I change it? Who consumes this event?” lives in senior engineers’ heads, not anywhere queryable.
Text search is per-file. It misses Feign clients, message topics, shared tables, and DTOs that span dozens of services.
Drop a coding agent on a large estate and it burns tokens scanning files, misses cross-service links, and invents callers it can’t see.
Without a real impact map, every refactor, schema change, and incident triage is a guess.
One scan. A graph. Twenty-six tools any LLM can call.
Cartomap analyzes your codebase with purpose-built, framework-aware extractors, builds a confidence-scored graph of every class, endpoint, queue and table — and the relationships across services — then exposes it through 26 LLM-native MCP tools. Any agent calls one tool and gets a tight, sourced answer.
Your code goes in; sourced answers come out — and the engine runs on your own infrastructure. Hover any block to see what it does.
No giant context dumps. No blind file scans. The agent asks a direction-specific question and gets a tight, sourced answer.
Watch an agent work your estate.
Ask one question. An AI agent reasons, calls Cartomap's MCP tools, streams a sourced answer, diagrams it, and writes the report — in the voice of whoever's asking. This is our console; the same tools power any MCP-capable agent.
Illustrative replay · cycles through real question types ↑
Benchmarked against grep on a real microservice estate.
13 real engineering questions · Claude Sonnet 4.6 · hint-free prompts · scored against a source-verified ground truth.
Recall 0.90 vs grep 0.89 — on par. Cartomap matches an exhaustive grep sweep on answer quality.
Half the tokens. A seventh of the time.
Worst case — “Map every service-to-service HTTP call across the platform”: grep spent 24.6 min / 148k tokens / 156 calls. Cartomap: 1.5 min / 41k / 6 calls.
The questions teams actually ask — in one call.
Each one is a single MCP tool away — a tight, sourced answer instead of an afternoon of grep.
Which services break if I change this endpoint’s response?
A service is down — what fails now, and downstream?
Who publishes to and consumes this queue?
Map every service-to-service HTTP call across the platform.
Which inbound endpoints have no authentication?
Every third-party system we call, and who calls it.
Which database tables are shared across services?
What in this service is safe to delete?
Walk a request from controller to every downstream call and event.
Who still calls the v1 API we’re trying to retire?
Which classes are duplicated across repos?
What does this service expose, end to end?
Not a search box. A queryable model of your software.
Cartomap turns your whole estate into something an LLM can actually read — then hands back sourced answers, reports, and diagrams. Here's what comes in the box.
Every class, endpoint, queue and table — and the relationships across services, repos and languages — confidence-scored with provenance.
Usages, blast radius, traces, dead code, shared tables, messaging, service maps — one call returns a tight, sourced answer.
Turn any answer into a polished PPTX, Excel or Markdown report — architecture reviews and audits on demand.
Developer, Architect, QA, Eng Manager — the same graph, framed for the audience that's asking.
13 interactive diagram types, plus env-to-env comparison to see exactly what changed between releases.
Indexes and queries your code in place; pair with a local model to keep everything on your own infrastructure.
Every role on the team, served by the same graph.
“Who breaks if I change this?” before you touch it. Outbound deps, call traces, dead code.
Blast-radius-driven test selection, end-to-end flow traces, and a list of unguarded endpoints.
Service-to-service map, messaging topology, shared databases, and external vendor egress — on demand.
Refactor blast radius, shared-library reach, and version drift (who still calls v1?).
A 60-second platform overview for new hires; tech-debt and risk surfaced without a meeting.
Capability map and dependency risk without pulling engineers off their work to answer you.
Runs where your code runs.
- ▸Standalone MCP server — plugs into Claude, Claude Code, or any MCP-capable orchestrator.
- ▸Indexes and queries your code in place — the graph and source index stay on your infrastructure.
- ▸Model-agnostic: Anthropic, OpenAI, Gemini, OpenRouter, or a local Ollama model — pair with a local model to stay fully in your perimeter.
- ▸Graph store on SQLite or PostgreSQL · incremental re-index · deterministic results.
- ·Queries the indexed graph, not live repos
- ·Your code is read in place, not shipped out
- ·Anthropic · OpenAI · Gemini · OpenRouter · Ollama
- ·SQLite or PostgreSQL · incremental re-index
- ·Deterministic — same query, same answer
Questions, answered.
What is Cartomap?
Cartomap is a code-intelligence MCP server. It analyzes your codebase with purpose-built, framework-aware extractors, builds a confidence-scored graph of every class, endpoint, queue and table — and the relationships across services — then answers questions through 26 LLM-native tools.
How is it different from grep or my IDE?
Grep and IDE search are per-file and per-repo. Cartomap resolves relationships across repositories and languages — Feign clients, message topics, shared database tables, DTOs — and returns a tight, sourced answer to an LLM instead of dumping files into context.
Which languages and frameworks does it support?
First-class scanners for Java, Kotlin, Python, TypeScript/JavaScript, C#/.NET, Go, C++, PHP, Ruby, Scala and Dart, plus framework-aware extraction for Spring, JPA/Hibernate, Feign, Kafka, RabbitMQ, MongoDB, Angular, React, gRPC and GraphQL.
Does my source code leave my infrastructure?
No. Cartomap indexes and queries your code in place — the graph and source index stay on your infrastructure. Pair it with a local model to keep everything inside your perimeter.
Which LLMs and tools does it work with?
It's model-agnostic: Anthropic, OpenAI, Gemini, OpenRouter, or a local Ollama model. As an MCP server it plugs into Claude, Claude Code, Cursor or any MCP-capable orchestrator — and it can connect to your other MCP servers, like Jira and Confluence.
How is it deployed?
A standalone MCP server with a graph store on SQLite or PostgreSQL. Run it on-prem, in Docker, or fully air-gapped — with incremental re-index and deterministic results.
What does a demo involve?
A live walkthrough on a real microservice estate — no setup on your side. We show how Cartomap answers the questions your team actually asks, then map it to your stack.
How much does it cost?
Pricing is tailored to your estate and deployment. Book a demo or contact sales for a quote.
See it on your estate.
A live walkthrough on a real microservice estate — see exactly how Cartomap answers your hardest “what breaks if…” questions, then how it maps to your stack.