Layerz

Name: Layerz
Author: layerzlabs

by layerzlabsversion 0.5.2i★ –iRuns in the cloud

Registry nameio.github.layerzlabs/layerz

Install

Overview

Description from the maker (original English)

Financial models Claude builds and edits: items, formulas, dependencies, branches. Exports to Excel.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi3 of 3 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs in the cloud
Transport: Streamable HTTP
Category: Accounting, finance & tax

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 3 of 3 passed
Runs on the maker’s server: what you ask it goes through their server.
The registry lists no key to fill in.

You need

Runs in the cloudNothing to install; it connects over the internet

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Works in Claude on the web, desktop and mobile:

Open Settings → Connectors
Press Add custom connector
Paste the address below and press Add
If it asks you to sign in, sign in with the maker

https://layerz.cc/mcp

Run this in your terminal

claude mcp add --transport http layerz https://layerz.cc/mcp

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "layerz": {
      "url": "https://layerz.cc/mcp"
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "layerz": {
      "type": "http",
      "url": "https://layerz.cc/mcp"
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

ChatGPT connects only to servers on the internet:

Open ChatGPT on the web → Settings → Connectors (Apps)
Press Create or Add (some plans need Developer mode under Advanced first)
Paste the address below, give it a name and save
If it asks you to sign in, sign in with the maker

https://layerz.cc/mcp

Menu names can differ slightly by plan and over time.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

The server asks you to sign in before it lists its tools.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 6, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account layerzlabs, which owns the repo
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
✓ Pass
Endpoint responds
Responded in 1182 ms (HTTP 401)
✓ Pass
Sign-in with OAuth
Declares OAuth sign-in, so your AI app can take you to log in
… Not checked yet
No hidden instructions in tool descriptions
Not checked yet; we read the tool list when we check the endpoint

Compared with others in Accounting, finance & taxi

More stars than 0% of the other 1720 servers in this category
Published to the registry more recently than 98% of the other 1720 servers in this category
Basic checks equal to or better than 100% of the other 1720 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Layerz safe?

It passed 3 of 3 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.5.2) reached the registry yesterday.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.

What can I use instead?

In the same category: Finance Toolkit, SolidInvoice, Korea Tax Calculator

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Finance Toolkit

by JerBouma

500+ transparent financial methods calculated from raw statements, not third-party endpoints.

Computer or cloud★ 5,496MITUpdated yesterday

Install

SolidInvoice

by SolidInvoice

Create and send invoices and quotes, manage clients, and track payments in SolidInvoice.

Runs in the cloud★ 981MITUpdated 7 days ago

Install

Korea Tax Calculator

by UpstageAI

Korean tax calculation and tax-audit judgment MCP: 96 tools with statutory citations.

Runs on your computer★ 97MITUpdated today

Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

Layerz MCP

Financial models your AI agent builds and edits: items, formulas, dependencies, branches. Exports to Excel.

Layerz is a structured spreadsheet for financial models, ready for AI. This is its remote MCP server. Claude, ChatGPT, Codex or any MCP client works on the model structure itself, not on loose cells, so formulas hold when the agent changes an assumption and the model is still there next session.

Endpoint: https://layerz.cc/mcp (streamable HTTP)
Auth: OAuth 2.1 with PKCE and dynamic client registration, or a Layerz API key
Docs: layerz.cc/for-agents · llms.txt
Registry: io.github.layerzlabs/layerz on the official MCP Registry

The server is hosted. There is nothing to install or run locally: this repository holds the setup instructions and the metadata MCP directories read.

Why

Ask an AI to build a financial model and you get a workbook in 30 seconds. Then one assumption changes: links break, values get hardcoded, and the next session starts from scratch.

Layerz keeps the structure of a model (items, formulas with named references, the dependency graph, timelines) apart from its data (values, scenarios, actuals). The agent edits that structure through MCP tools, every change is versioned with a readable summary, and Excel is an export format: clean, standard .xlsx with live formulas, the file you send to people who never see the agent.

Setup

One click

Client	Link
Claude (claude.ai, desktop app, Cowork)	layerz.cc/claude opens Settings → Connectors with Layerz pre-filled
ChatGPT and Codex	layerz.cc/chatgpt opens the Layerz plugin in the ChatGPT directory

Confirm, sign in to Layerz, done.

Cursor

Or add it to ~/.cursor/mcp.json:

"mcpServers": { "layerz": { "url": "https://layerz.cc/mcp" } } }

Cursor opens the Layerz sign-in the first time a tool is called.

By hand

Claude Code

claude mcp add -t http layerz https://layerz.cc/mcp

Then run /mcp to authenticate in the browser.

OpenAI Codex

codex mcp add layerz --url https://layerz.cc/mcp

codex mcp login layerz

Claude, without the link: Settings → Connectors → Add custom connector → https://layerz.cc/mcp

ChatGPT, without the directory: Settings → Security and login → Developer mode, then Plugins → + → https://layerz.cc/mcp

Mistral Le Chat: Settings → Connectors → Add custom MCP connector → https://layerz.cc/mcp

OpenCode: add to opencode.json, then run opencode mcp auth layerz

"$schema": "https://opencode.ai/config.json", "mcp": { "layerz": { "type": "remote", "url": "https://layerz.cc/mcp", "oauth": {} } } }

Grok: grok.com/connectors → New Connector → Custom → https://layerz.cc/mcp

Antigravity CLI (formerly Gemini CLI): add to mcp_config.json

"mcpServers": { "layerz": { "serverUrl": "https://layerz.cc/mcp" } } }

Any other MCP client: point it at https://layerz.cc/mcp over streamable HTTP. Clients without OAuth can send a Layerz API key, created in the Layerz app, as a bearer token.

What the agent can do

29 tools, grouped by job. Read-only tools are annotated as such, so clients can run them without asking.

Job	Tools
Find and read models	`layerz_list_models`, `layerz_get_model`, `layerz_read`, `layerz_dependencies`, `layerz_validate_model`
Build and edit	`layerz_create_model`, `layerz_build_from_blueprint`, `layerz_list_templates`, `layerz_patch`, `layerz_match_items`
Conventions	`layerz_get_conventions`, `layerz_set_finance_md`, `layerz_set_custom_instructions`
Scenarios and actuals	`layerz_update_branch`, `layerz_delete_branch`, `layerz_import_branch`, `layerz_list_transactions`
Import files and sources	`layerz_create_upload_url`, `layerz_parse_file`, `layerz_list_integrations`, `layerz_manage_integration`, `layerz_list_mappings`, `layerz_manage_mapping`, `layerz_external_ref`
Versions	`layerz_history`, `layerz_diff`, `layerz_manage_version`
Share and export	`layerz_share_model`, `layerz_export`

The server also exposes reference resources the agent reads on its own: modeling-guide://reference (session workflow, modeling patterns, validated patch examples), formula-spec://reference (the formula language) and format-spec://reference (number formats).

Using it well

The guidance lives on the server, so it is never out of date on your machine:

Conventions travel with the model. Each model carries a FINANCE.md (currency, units, sign convention, how the statements are built), and each workspace carries standing instructions for agents. The agent receives both when it opens a model.
The modeling guide comes from layerz_get_conventions { include_guide: true }. Agents read it at the start of a session.
Recipes (prompts for budgets, three-statement models, monthly closes, LBOs) are in the cookbook.

A good first prompt:

Build a three-statement model for a B2B SaaS company: 2 M€ ARR, 40 % growth, 18-month runway. Ask me what you need to know first.

Pricing

Free for one person working alone: unlimited models, MCP and REST API, Excel and JSON export. A paid plan starts when a second person edits the same models. Details at layerz.cc/pricing.

finance-md: the open standard for financial conventions an agent reads
cookbook: recipes for financial work with AI agents
layerz.cc: the web app, where people review, share and collaborate on the same models

Versioning

One version, the server's. The number published to the official MCP Registry (io.github.layerzlabs/layerz, from the server.json of the Layerz code repo) is the only version; lhm.plugin.json and .cursor-plugin/plugin.json here mirror it, never one of their own. A change to this repository alone (a tool declared, a description reworded) ships under the current version. node scripts/check-version.mjs (run on every push and weekly) fails when the manifests disagree or run behind the registry, and only warns when a publish is pending.

Support

Questions or stuck on setup: contact@layerz.cc. Bugs and requests: open an issue in this repository.

License

The contents of this repository (documentation and metadata) are released under the MIT License. The Layerz server and web app are proprietary.

Layerz

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Accounting, finance & taxi

Common questions

Alternatives

Finance Toolkit

SolidInvoice

Korea Tax Calculator

README from the maker

Layerz MCP

Why

Setup

One click

Cursor

By hand

What the agent can do

Using it well

Pricing

Related

Versioning

Support

License