Layerz

io.github.layerzlabsPublished by GitHub account layerzlabsv0.5.2Updated Nov 5, 2026

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

VerifiedStreamable HTTPWeb executableProductivity & WorkflowFinanceData & Analytics

Overview

AI-generated overview

Hosted MCP server for Layerz, a structured financial-modeling spreadsheet that lets an assistant build, edit, version and export models to Excel.

What you can do
  • Find and read models, inspect dependencies and validate structure
  • Create models from blueprints or templates, patch items and match items
  • Set modeling conventions, FINANCE.md and custom agent instructions
  • Manage scenarios, branches, actuals and transactions
  • Import files and sources, manage integrations and mappings
  • Review version history and diffs, share models and export to Excel
When to use it
Useful when an assistant should build or maintain a financial model with real formulas and dependencies rather than loose spreadsheet cells, and keep it editable across sessions. Also fits teams that want a clean Excel export of an agent-built model.
Requirements
Remote streamable HTTP endpoint at layerz.cc/mcp; nothing to install locally. Requires a Layerz account and OAuth 2.1 sign-in (PKCE, dynamic client registration), or a Layerz API key sent as a bearer token for clients without OAuth. Network access required.
Before you install
The server edits and deletes model data: branches can be deleted, models shared, and versions managed, so review changes before approving. It holds financial data and conventions in a hosted third-party service. A paid plan is needed once a second person edits the same models.

Installation

In SourceWeft

  1. Open Layerz in the dashboard and add it to a workspace.
  2. Connect the required credentials. They are stored privately and never shown on public pages.
  3. Enable the server for the chats that should use its tools.

Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.

Use with an agent

Paste this prompt into Claude Code, Codex, Cursor or another agent — or into SourceWeft chat. The agent reads this server's install guide, shows you its publisher, endpoint and sign-in, and adds it to your client once you agree. Keys never go into a command.

Read https://sourceweft.com/mcp/io.github.layerzlabs%2Flayerz/install.md and connect the MCP server it describes to my client. Before changing any config, show me its publisher, endpoint and sign-in method and wait for my OK. Never put an API key in a command or in a file I would commit; ask me where it should come from.

Read the install guide the agent follows

Other MCP clients

Add this to your client's mcpServers config. The client completes OAuth sign-in on first connect.

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

README

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.

[Layerz MCP connector]

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

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

Confirm, sign in to Layerz, done.

Cursor

[Add Layerz to Cursor]

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

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

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

Then run /mcp to authenticate in the browser.

OpenAI Codex

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

json
{  "$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

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.

JobTools
Find and read modelslayerz_list_models, layerz_get_model, layerz_read, layerz_dependencies, layerz_validate_model
Build and editlayerz_create_model, layerz_build_from_blueprint, layerz_list_templates, layerz_patch, layerz_match_items
Conventionslayerz_get_conventions, layerz_set_finance_md, layerz_set_custom_instructions
Scenarios and actualslayerz_update_branch, layerz_delete_branch, layerz_import_branch, layerz_list_transactions
Import files and sourceslayerz_create_upload_url, layerz_parse_file, layerz_list_integrations, layerz_manage_integration, layerz_list_mappings, layerz_manage_mapping, layerz_external_ref
Versionslayerz_history, layerz_diff, layerz_manage_version
Share and exportlayerz_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.

Related

  • 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: [email protected]. 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.

Source: README.md at commit 5813a3c

Tools

0
This server asks you to sign in, so SourceWeft could not read its tools without an account and has not indexed them. What a connected account sees can depend on that account and its permissions.

Version history

4
  1. v0.5.2LatestNov 5, 2026
  2. v0.5.1Nov 3, 2026
  3. v0.4.0Sep 30, 2026
  4. v0.3.0Sep 16, 2026

Score

85% 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 daysRequired25 pts
  • Auth declaredRequired10 pts
  • 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