
Archiet Xray
io.github.AniokoPublished by GitHub account Aniokov0.2.3Updated Oct 24, 2026
Deterministic repo architecture maps: auth coverage, blast radius, readiness score, diagrams
Overview
A local MCP server that statically extracts a repository's architecture — routes, auth coverage, entities, dependencies — and gives an assistant blast-radius, a
- What you can do
- Ask which files depend on a given file and what breaks if it changes (blast radius). Summarize where routes, entities and services live in the repo. Report boundary findings such as hardcoded secrets, raw SQL, tokens in localStorage and routes without auth guards. Score the repo 0–100 for production readiness with evidence and ranked fixes. Generate Mermaid module dependency, ER and HTTP route diagrams. Re-scan the repository after structural changes.
- When to use it
- Useful before an assistant edits an unfamiliar or inherited codebase, when reviewing AI-generated changes against the intended architecture, or when tracking whether a repo drifts from production readiness across commits.
- Requirements
- Runs as a local process on the user's machine via uvx from the PyPI package archiet-xray, pointed at a repository path; desktop clients only. No accounts, API keys or environment variables are declared.
Installation
In SourceWeft
- Open Archiet Xray in the dashboard and add it to a workspace.
- Enable the server for the chats that should use its tools.
Desktop only via STDIO. STDIO servers start a local process, so they need the SourceWeft desktop host.
Other MCP clients
Follow the launch instructions in the repository.
README
Archiet X-Ray
mcp-name: io.github.Anioko/archiet-xray
See what your AI sees. Your codebase is too big for any AI agent's context window. The agent reads 40 files out of 4,000, makes a change, and you have no way to know whether it respected the architecture — or quietly violated it.
X-Ray extracts the actual architecture of any repo — deterministically, no LLM, code never leaves your machine — and gives it to both you (an interactive map) and your AI agent (an MCP server + context pack).
What you get
Production-readiness score (new in 0.2)
A deterministic 0–100 production-readiness score over 8 dimensions: route auth coverage, secrets hygiene, client token storage, data-layer discipline, test footprint, migration discipline, ops readiness (Docker/CI/.env contract), and docs/API contract. Same repo always scores the same — so the score is comparable across commits, branches, and repos, and you can put it in CI.
Each dimension reports its evidence ("142/214 statically-guarded routes carry an auth guard") and the report ends with the top fixes ranked by points lost. Dimensions that don't apply (a CLI tool has no routes) take half credit and say so — honesty over flattery.
Useful when: reviewing AI-generated code before shipping it, auditing an inherited codebase, or tracking whether your repo is drifting away from production readiness over time.
Architecture diagrams from code (new in 0.2)
generate_diagrams turns any repo into Mermaid architecture diagrams,
deterministically extracted from the code itself:
- Module dependency graph — the real import structure, not the wiki's
- ER / domain-model diagram — entities and relations from SQLAlchemy, Django, and Prisma models
- HTTP route map — the API surface grouped by prefix
You get the raw .mmd sources (paste into any README, wiki, GitHub, GitLab,
Notion, Obsidian, or VS Code — they all render Mermaid natively) plus a
self-contained diagrams.html viewer.
Give it to your agent (MCP)
Claude Desktop — download archiet-xray-<version>.mcpb from the
latest release,
then double-click it (or Settings → Extensions → Install Extension). It
prompts for the repository to analyze; one-click after that.
Official MCP Registry — listed as io.github.Anioko/archiet-xray,
so registry-aware clients can install it by name.
Your agent can now ask — before it edits:
blast_radius— "who depends on this file? what breaks if I touch it?"arch_summary— "where do routes/entities/services actually live?"boundary_findings— "hardcoded secrets, raw SQL, tokens in localStorage, unauthenticated routes"production_readiness— "score this repo 0–100 for production readiness, with evidence and top fixes"generate_diagrams— "draw the module graph / ER diagram / route map as Mermaid"xray_scan— re-scan after structural changes
Principles
- Deterministic. Same repo in, same map out. Every fact traces to a file and line. No LLM guesses anywhere in the pipeline.
- Honest. What can't be extracted with confidence is labelled unmapped — never invented. A wrong map is worse than no map.
- Local-first. Stdlib only, zero network calls, zero telemetry. Your code never leaves your machine.
What it extracts today
- Python: Flask / FastAPI routes (+ auth-guard detection), SQLAlchemy &
Django models with relations, Celery tasks, import graph — via
ast, not regex - JS/TS: Next.js app & pages router (pages + API routes), Express routes, Prisma models, import graph
- Findings: hardcoded secrets, raw SQL bypassing the ORM, auth tokens in localStorage/AsyncStorage, routes without auth guards
- Graph: module dependency edges, fan-in/fan-out, blast-radius hotspots
More stacks (Go, Java, Rails, .NET) welcome — the extractor pattern is one class per language. PRs invited.
Real examples
examples/ holds unedited X-Ray output for repos you know —
microblog (Flask), the official FastAPI full-stack template, and
vercel/commerce (Next.js). GitHub renders the Mermaid maps inline. On the
FastAPI template, X-Ray correctly detects CurrentUser dependency auth on 18
routes and flags a real auth-token-in-localStorage write in useAuth.ts.
FAQ
How is this different from a dependency-graph MCP server (Codegraph, dependency-mcp)? Those show call/import edges. X-Ray extracts web-architecture semantics on top of the graph: which routes exist, which carry auth guards, where the domain entities live, and where security boundaries leak (hardcoded secrets, raw SQL, tokens in localStorage). No graph tool tells you "510 of your routes have no detectable auth guard."
How is this different from a CLAUDE.md generator? CLAUDE.md generators write instructions and conventions — usually with an LLM. X-Ray extracts facts: every claim in its output traces to a file and line, and what it can't extract it labels unknown. Use both: your conventions plus X-Ray's ground truth.
What does auth status ? mean?
"Not detectable from per-function analysis." FastAPI routers often attach auth
at include_router(dependencies=...) level, which is invisible when analyzing
the route function. X-Ray reports unknown rather than guessing a confident
"no auth" — a wrong map is worse than no map.
Is the production-readiness score a security audit? No. It is a deterministic static-signal score — it measures whether the repo carries the marks of production discipline (auth guards on routes, no hardcoded secrets, tests, migrations, ops + docs contracts). The payload says so explicitly. It is a fast, repeatable triage number, not a substitute for code review, load testing, or a security audit.
Why Mermaid for the diagrams instead of images?
Mermaid sources are diffable, render natively on GitHub/GitLab/Notion/VS
Code/Obsidian, and stay in sync with the repo because you can regenerate them
in one command. The bundled diagrams.html gives you a browser view without
installing anything.
Does it phone home? No. Stdlib-only, zero network calls, zero telemetry. The only outbound anything is a link in the generated footer.
Sibling server: archiet-audit
X-Ray never touches the network. If you want the hosted counterpart — a
procurement-grade architecture audit (traceability %, severity-ranked gaps,
30/60/90-day roadmap) generated from your architecture documents — the
archiet-audit MCP server bridges your agent to
archiet.com/audit-my-architecture.
It is a separate server precisely so X-Ray's "your code never leaves your
machine" guarantee stays absolute.
Privacy Policy
X-Ray is local-only by design. Specifically:
- Data collection: none. X-Ray collects no telemetry, no analytics, no usage data, and no personal information of any kind.
- Data usage: local analysis only. Your code is read from disk solely to build the architecture model, in-process, on your machine.
- Data storage: your disk, your control. The only artifacts produced are
the files written to
.archiet/inside the repository you scan (ARCHITECTURE.md, AGENT_CONTEXT.md, architecture.json, diagrams/). Delete them at any time; nothing else is stored anywhere. - Third-party sharing: none. X-Ray makes zero network calls (stdlib-only, no HTTP client is even imported). Your code never leaves your machine.
- Data retention: not applicable. No data reaches us, so there is nothing for us to retain or delete.
- Contact: [email protected] — or open an issue on this repo.
The company-wide policy at archiet.com/privacy covers Archiet's hosted products; it applies to X-Ray only in the trivial sense that X-Ray sends us nothing.
Part of Archiet
X-Ray is the free, open companion to Archiet — the architecture-to-code platform. The map X-Ray extracts is the same formal model Archiet uses to enforce architecture on every PR (boundary gates, drift scoring, consulting-grade architecture reports) and to regenerate production-ready applications from it.
MIT licensed.
Source: README.md at commit 04bfd8d
Tools
0Version history
1- v0.2.3LatestSep 16, 2026
Score
50% of the applicable checks met
How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.
- Reached in the last 30 days25 pts
Keep the endpoint answering the MCP handshake; SourceWeft probes it every 30 days.
- Auth declared10 pts
Declare the credential headers in the registry entry, or keep the endpoint answering the probe so its auth can be classified.
- Tools listed15 pts
Answer tools/list without a credential, or ship a package that starts in a sandbox without one.
- DescriptionRequired15 pts
- Logo10 pts
- Documentation15 pts
- License10 pts