maryslab
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@maryslabaudit my colormap for colorblind accessibility"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Mary's Lab
A computational color science laboratory. She knows everything about color. She has never seen it.
maryslab-nu.vercel.app · run the conformance suite in your browser
Named for Frank Jackson's thought experiment: Mary, the scientist who knows every physical fact about color but has only ever seen black and white. This lab works the way Mary does. Color arrives as spectra, matrices, and proofs, and the instruments built here do things the field's tooling has not done before.
What lives here
39 MCP tools any AI agent can call, over three engines that must agree: a TypeScript reference engine, a C++20 core behind a stable C ABI, and a WebAssembly build of that core — held together by 401 shared golden vectors and a metamorphic relation suite that runs against all of them. You can run those vectors yourself, in your browser.
The interesting tools are the ones without precedent as software. Every existing color tool is forward and point-wise: spectrum in, number out. These work the other three directions:
Instrument | What it does that nothing else does |
| Guaranteed lower bound on palette discriminability over an entire convex family of illuminants, not a spot check |
| Designs reflectance spectra (not colors) whose separation survives observers and illuminants jointly |
| Computes optimal color-vision test stimuli; plates have been built by trial and error for a century |
| Finds the physically realizable light that breaks a palette; the attack to the certificate's defense |
| Persistent-homology certificate of the features a colormap invents or destroys, per observer, CVD included |
| Walks the convex metamer set and maps where its combinatorial structure changes across color space |
| Measurement forensics: is this spectrum measured, or interpolated and passed off as measured? |
| Physically realizable confusion pairs: identical under one light, split under another |
Plus a correctness suite (crosscheck_color_implementations,
generate_conformance_vectors) that metamorphically tests any color library
against algebraic identities. It found a real bug in this repo's own engine
on its first run.
Related MCP server: BWVI
Quick start
git clone https://github.com/JeetuSK0808/maryslab
cd maryslab && npm install
cd mcp && npm test && npm run build
claude mcp add maryslab -- node "$(pwd)/dist/server.js"Then ask your agent to certify a palette, design a spectrum, or audit a colormap. Full tool reference: docs/mcp-tools.md.
Architecture
flowchart LR
A[AI agents\nClaude Code, any MCP client] -->|MCP stdio| B[mcp/\nTypeScript server\n39 tools, zod schemas]
B --> C[TS reference engine\nmcp/src/engine]
B -.->|when built| D[core/\nC++20 engine\nstable C ABI]
C <-->|401 golden vectors\n+ metamorphic relations| D
D -->|emscripten| G[bindings/wasm\nbrowser engine]
C <-->|same 401 vectors| G
E[data/\ningestion, quality gates] --> B
F[web/\nAstro site] --> GThe engines are not allowed to drift.
core/tests/golden/vectors/conformance.csv is generated from the TypeScript
engine, checked by the C++ test suite, and checked again by the WebAssembly
build (bindings/wasm/test/parity.mjs, gated in wasm-ci) — 401/401 in all
three, at the float32 tolerance floor the C ABI's storage implies. The same
metamorphic relations (round trips, metric axioms, white-point preservation,
spectral linearity) run against both native engines.
194 TS tests, 94 native tests, 27 data tests, all green. The native suite
also runs clean under ASan+UBSan (halt_on_error=1). Measured statement
coverage on the MCP package is 93.11%. A schema-driven fuzzer
(mcp/test/fuzz/fuzz.mjs, ~15k generated inputs across six seeds) finds no
undeclared throws and no non-finite outputs, and fails the run if any tool
executes zero valid inputs — nine tools were once silently starved while the
summary still read "0 findings". The N-API addon is built against the core
and parity-tested in CI (bindings-ci); the MCP server itself serves the
reference engine (engine_backend: reference-ts in every response).
The honesty rules
This lab's differentiator is that caveats travel with results.
CVD compensation remaps for discriminability. It never claims to restore what dichromacy removed.
Isotope matches and forensic scores are decision support, never authoritative identification. The forensics tool states in its own output that it was calibrated on synthetic negatives.
Infeasible constraints fail loudly with the achieved bound, never silently relaxed.
Certificates report when their own grid is too coarse to certify anything (
grid_sufficient: false) instead of printing a hollow zero.Fourteen technical reports (TR-01 – TR-14) are released as preprints: not peer-reviewed and not posted to a repository. Seven now carry a section evaluated against snapshot
usgs-splib07a-1— 1,752 public-domain USGS reflectance spectra — and the rest are synthetic-only; each report says which of its numbers are which. The measured results frequently contradict the synthetic ones and are published anyway: the provenance detector of TR-13 cannot separate real published spectra from an analytic model, TR-12's classifier falls from 5/5 to 0.66, and TR-01 certifies 0 of 40 measured palettes. Nothing here cites a publication that does not exist. See docs/PRD.md §5 for the ideas we cut because the math did not hold.
Repository map
Path | What | Verify with |
| MCP server + TS reference engine |
|
| C++20 engine, C ABI in |
|
| Spectral ingestion pipeline, quality gates Q1-Q6 |
|
| The lab's website (Astro) |
|
| node N-API, WASM, Python scaffolds | builds in CI |
| 14 technical reports + the runner that produces every figure |
|
| PRD, architecture, tool reference, ABI rules | start at |
Contributing
The highest-value contribution is a dataset source adapter with a verified
license (see docs/dataset.md). Ground rules in
CONTRIBUTING.md: conventional commits, coverage stays at
80 percent, golden vectors change only through a golden-update PR, and
scientific claims cite their sources.
License
Code: Apache-2.0. Dataset records carry per-source licenses, tracked in
data/catalogs/sources.yaml.
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