Everything Cartomap does, in one place.
A confidence-scored graph of your estate, a searchable source index, 26 LLM-native tools, generated reports, composable skills, and a memory that learns your architecture — model-agnostic, and it runs inside your perimeter.
Six things you actually get.
Not a list of buzzwords — the concrete pieces that make Cartomap a system, not a search box.
A graph, not a search index
Every class, endpoint, queue, DTO and table becomes a node; every call, injection, Feign hop, topic and join becomes an edge — each carrying a confidence score and a provenance trail.
- Cross-repo & cross-language resolution
- Structural vs. semantic edges
- Confidence 0–1 + source on every fact
26 tools the model picks between
Instead of dumping files into context, the agent chooses a direction-specific tool and gets back a tight, sourced answer — usages, blast radius, traces, dead code, shared tables, messaging, service maps and more.
- Inbound, outbound & path-shaped queries
- Estate-wide catalogs & metrics
- Source evidence on demand
Answers become documents
Any answer can be rendered into a polished PPTX deck, an Excel workbook, or a Markdown report — architecture reviews, audits and onboarding packs, generated on the spot.
- PPTX · XLSX · Markdown · HTML
- In-chat preview + one-click download
- Charts & Mermaid diagrams inline
Personas frame the answer
The same graph, spoken in the right voice. An Architect gets topology and trade-offs; a Developer gets call sites and dead code; an Eng Manager gets a 60-second overview.
- Tone-only — never changes the facts
- Developer · Architect · QA · Security · Manager
- Switchable mid-conversation
See it, don't just read it
13 interactive visualization types render straight from the graph — service maps, call graphs, ERDs, sequence diagrams, blast-radius and dependency views — plus env-to-env release diffs.
- Auto-assembled from a search term
- Release comparison across environments
- Exportable & shareable
Composable skills
Reusable capability packs the agent loads on demand — chart generation, Mermaid diagrams, architecture reports, ticket drafting. Type / to add one and the model uses it where it fits.
- Charts & Mermaid-diagram skills
- Architecture-report & audit skills
- Bring your own — drop in a SKILL.md
26 tools. One call each.
Every tool is direction-specific — the agent picks the right one and gets a tight, sourced answer instead of dumping your codebase into context.
MCP works both ways.
Cartomap exposes its 26 tools over MCP — and the console is itself an MCP client, so it plugs into the rest of your stack and acts on what it finds.
Cartomap is an MCP server. Claude, Claude Code, Cursor or any MCP-capable orchestrator calls its tools directly — no glue code.
The console is also an MCP client. Point it at any MCP server — Jira, Confluence, GitHub, Slack, your own internal tools — and its tools show up in chat.
Turn a discussion into a developer-ready Jira ticket with the built-in skill, pull a Confluence page, or open a PR — without leaving the conversation.
Built for the moments that actually cost you.
The same graph, pointed at the four jobs that eat the most engineering time.
A service is paging — what's downstream?
On-call sees every impacted service and the exact call paths in one answer — not a war-room archaeology session.
What does this change actually touch?
Reviewers get the real impact surface — callers, shared tables, cross-repo consumers — before the PR ships, not after the incident.
Make a new hire productive on day one
A live platform map and request flows replace the wiki from 2019 — new engineers orient in minutes.
Where are we exposed?
Unguarded endpoints and every third-party egress, enumerated and exportable for an auditor — on demand.
It learns your architecture — and dreams.
Every question teaches it the shape of your estate. It captures the patterns — playbooks, conventions, the way your services really talk — then consolidates them while you sleep.
Every conversation is distilled to what actually happened — the tool calls and their outcomes, never the model's own prose.
On a schedule, an offline pass reviews the backlog — merging near-duplicate notes and pruning the noise.
A pattern goes live only when the graph confirms it, or two independent conversations cite it. Otherwise it stays quarantined.
It synthesizes one trusted worldview of your estate — and the more your team asks, the sharper the playbooks get.
Memories anchor to your services by name and survive every re-index. Cartomap learns how your architecture behaves— it never stores your secrets or raw source, and it never treats the model's guesses as fact. Only verified, graph-backed patterns are kept.
Cartomap vs. the usual suspects.
grep is per-file. RAG hallucinates structure. Static analysis stops at the repo boundary. The graph does all three jobs — and hands the answer to an LLM.
| Cartomap | grep / IDE | RAG / embeddings | Static analysis | |
|---|---|---|---|---|
| Cross-repo resolution | partial | partial | ||
| Framework-aware (Spring, Feign, Kafka…) | partial | |||
| Sourced, deterministic answers | ||||
| LLM-native tool surface | partial | |||
| Impact / blast radius | partial | |||
| Generates docs & diagrams | ||||
| Cheap at agent scale | partial |
Runs anywhere — on your terms.
Model-agnostic, and built to run inside your perimeter — from a laptop to an air-gapped data centre.
Agents that watch your estate — trigger on a PR or a schedule, run a check, and report back on their own. See where Cartomap is headed.
Put it in front of your estate.
We'll show you the graph, the tools, and the documents — live, on a real microservice platform — then map it to your stack.