Finance Toolkit
500+ transparent financial methods calculated from raw statements, not third-party endpoints.
Descripción del creador (original en inglés)
IRS income & tax stats by ZIP in your agent: AGI distribution, tax, credits, deductions.
Estos tres nunca se combinan en una sola puntuación: las opiniones, las mediciones y la popularidad son cosas distintas.
Todavía no escribimos un resumen sencillo para este. Abajo están los datos que leímos del registro.
Elige la app de IA que usas y copia la configuración.
SOI_MCP_STORENecesitas
¿Qué app usas?
Elige tu app arriba. La recordamos, así que la próxima vez el botón dirá “Instalar en …”.
Abre Claude Desktop → Settings → Developer → Edit Config y pega esto en claude_desktop_config.json
{
"mcpServers": {
"soi": {
"command": "uvx",
"args": [
"mcpwright-soi"
],
"env": {
"SOI_MCP_STORE": "your-value"
}
}
}
}Ejecuta esto en tu terminal
claude mcp add soi --env SOI_MCP_STORE=your-value -- uvx mcpwright-soiCompleta los valores vacíos antes de ejecutarlo.
Pégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json
{
"mcpServers": {
"soi": {
"command": "uvx",
"args": [
"mcpwright-soi"
],
"env": {
"SOI_MCP_STORE": "your-value"
}
}
}
}Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.
Pégalo en .vscode/mcp.json de tu proyecto
{
"servers": {
"soi": {
"type": "stdio",
"command": "uvx",
"args": [
"mcpwright-soi"
],
"env": {
"SOI_MCP_STORE": "your-value"
}
}
}
}Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.
Este se ejecuta en tu computadora, y ChatGPT solo puede conectarse a servidores en internet. Elige otra app.
Tu elección se guarda en una cookie en este dispositivo; no necesitas cuenta.
SOI_MCP_STORE envEsta configuración se genera a partir de la ficha del creador en el registro. Si el README dice otra cosa, sigue el README.
Se ejecuta en tu computadora; la lista de herramientas aparece en tu app de IA después de instalarlo.
Revisamos información que cualquiera puede ver; no hemos leído el código. Las revisiones que no aplican no se cuentan. · Revisado el 7 nov 2026
El nombre en el registro se verificó con la cuenta de GitHub mcpwright, dueña del repo
Todavía no hemos leído este repo en GitHub
Todavía no hemos leído este repo en GitHub
Este se ejecuta en tu computadora; no hay endpoint en internet
Se ejecuta en tu computadora y usa ajustes locales en su lugar
Se ejecuta en tu computadora; solo podemos leer listas de herramientas de endpoints en internet
Comparado con todos los servidores activos de esta categoría en el registro. Las estrellas solo cuentan cuando quien lo publica es dueño del repo.
Superó 1 de 1 revisiones básicas aplicables. No hemos leído el código. Antes de agregar una clave o un token, revisa qué acceso pide el servidor y usa una clave que tenga solo los permisos que necesitas.
El registro no indica ninguna clave obligatoria, aunque algunos servidores te piden iniciar sesión la primera vez que los usas.
Se ejecuta en tu computadora. Tu app de IA lo inicia cuando hace falta, y los datos no pasan por los servidores del creador (a menos que el propio servidor llame a un servicio en línea).
El repo de GitHub cambió por última vez –, y la última versión (0.1.2) llegó al registro hace 3 meses.
Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. También necesitas Python (uv) en tu computadora.
En la misma categoría: Finance Toolkit, SolidInvoice, Korea Tax Calculator
Servidores de la misma categoría hechos por otros creadores, ordenados por estrellas.
Cómo leer una tarjeta:★ Estrellas de GitHubiTres pilares: reseñas · revisiones · usoiActualizado = fecha en que se publicó la última versión en el registroi
500+ transparent financial methods calculated from raw statements, not third-party endpoints.
Create and send invoices and quotes, manage clients, and track payments in SolidInvoice.
Korean tax calculation and tax-audit judgment MCP: 96 tools with statutory citations.
Copiado tal cual del repo del creador. PopNx MCP no lo ha revisado ni lo respalda. Se quitaron HTML, imágenes y scripts. Los enlaces llevan fuera de este sitio.
IRS income & tax statistics by ZIP code, inside your agent. An MCP server that lets an LLM pull the income distribution, tax, credits, and deductions of any U.S. ZIP straight from the IRS Statistics of Income (SOI) — built on Anthropic's official mcp Python SDK.
All tools are read-only and the data is public domain (a U.S. government work) — no API key required. The dataset is downloaded once into a local SQLite store and served offline.
Status: published —
uvx mcpwright-soi(PyPI) and listed in the official MCP Registry as
io.github.mcpwright/soi-mcp. 10 tools, working today (see below). The IRS SOI ZIP release lags ~2–3 years; the
latest available year (currently Tax Year 2022) loads by default, and older years are one
refreshaway. See the roadmap for what's next.
| Tool | What it does |
|---|---|
lookup_zip(zip_code) | Confirm a ZIP has SOI data → state, number of returns, number of individuals, tax year. A good first call. |
get_income(zip_code) | Adjusted gross income (AGI), average AGI per return, and income components: salaries/wages, taxable interest, ordinary dividends, business net income, net capital gain. |
get_agi_distribution(zip_code) | The distinctive one. The ZIP's returns and AGI split across the six IRS AGI brackets (<$25k, $25–50k, $50–75k, $75–100k, $100–200k, $200k+), with each bracket's share — the income *shape* of a ZIP, not just an average. |
get_tax(zip_code) | Income tax, income tax before credits, total tax liability (broader — includes self-employment tax, etc.), total tax payments, and average total tax per return. |
get_credits(zip_code) | EITC take-up (overall and split by number of qualifying children: none / one / two / three or more) and the additional (refundable) child tax credit. |
get_deductions(zip_code) | Standard vs. itemized deductions (count and amount), the taxes-paid (SALT) deduction, and the percent of returns that itemized. |
get_filing_status(zip_code) | Single / married-filing-jointly / head-of-household return counts, elderly returns (age 65+), and the count and share of electronically filed returns. |
compare_zips(zips, metric) | Rank several ZIPs by one metric (e.g. avg_agi_per_return, pct_returns_200k_plus, total_tax_liability, eitc_amount), highest first. |
get_state_totals(state) | A whole state's totals and AGI-bracket mix (returns, individuals, AGI, average AGI per return, income tax, total tax liability), from the IRS state rollup. Accepts "CA" or "California". |
get_soi_field(zip_code, field) | Escape hatch: the raw value of one SOI field code (e.g. A00100 for AGI, N1 for returns) for a ZIP, summed across brackets, with its label and unit. Limited to the fields in the store. |
All dollar amounts are returned in whole USD (the source reports thousands). Counts are numbers of returns, rounded by the IRS to the nearest 10.
Requires Python 3.12+. The zero-clone way to run it (the PyPI package is mcpwright-soi; the command, server, and tools are all "soi"):
uvx mcpwright-soi
The first tool call downloads the latest SOI ZIP file (~200 MB) into a local SQLite store under your OS cache directory and serves everything offline thereafter. To pre-load (or to pick a specific tax year) without waiting for the first query:
uvx mcpwright-soi setup # download the latest available year
uvx mcpwright-soi refresh 2021 # re-pull a specific older year for comparison
claude mcp add soi -- uvx mcpwright-soi
Add to claude_desktop_config.json:
{
"mcpServers": { "soi": { "command": "uvx", "args": ["mcpwright-soi"] } } }
It's a standard MCP server, so it works with any MCP-capable client — not just Claude. With the OpenAI Agents SDK:
from agents import Agent, Runner
from agents.mcp import MCPServerStdio
async def main(): async with MCPServerStdio( name="soi", params={"command": "uvx", "args": ["mcpwright-soi"]}, ) as soi: agent = Agent( name="Analyst", instructions="Use the SOI tools for IRS income and tax data by ZIP.", mcp_servers=[soi], ) result = await Runner.run( agent, "What's the income distribution of ZIP 90210 vs 10001?" ) print(result.final_output)
They all launch a stdio MCP server the same way — point yours at:
{
"mcpServers": { "soi": { "command": "uvx", "args": ["mcpwright-soi"] } } }
Hosted chat connectors (e.g. ChatGPT connectors) expect a remote MCP server over
Streamable HTTP;
mcpwright-soiruns locally over stdio.
Storage: the dataset lives in a SQLite file under your OS cache dir (override with the
SOI_MCP_STOREenv var). Delete it any time;setup/refreshrebuilds it.
A note on suppression: the IRS excludes ZIPs with fewer than 100 returns (folding them into
a "99999" bucket) and suppresses line items with fewer than 20 returns. Summed ZIP totals can
therefore slightly understate reality and won't exactly equal the state total. All figures are
aggregates of filed returns, not a population census.
git clone https://github.com/mcpwright/soi-mcp && cd soi-mcp
uv sync uv run pytest # tests (mocked download + seeded SQLite) uv run ruff check src/ && uv run ruff format --check src/ # lint + format uv run mypy # strict type checking uv run mcp dev src/soi_mcp/server.py # poke the tools in the MCP Inspector
lookup_zip / get_income / get_agi_distribution — the income backboneget_tax / get_credits / get_deductions / get_filing_status — the tax sidecompare_zips — rank ZIPs by a metricget_state_totals — state rollups from the IRS 00000 rowget_soi_field — raw-field escape hatchsetup / refresh [year] — download once, re-pull or pick an older tax yearmcpwright-soi) + the official MCP Registry (io.github.mcpwright/soi-mcp)soi-mcp runs entirely on your machine. It collects, stores, or transmits no personal data — no accounts, no tracking, no telemetry. Its only outbound requests go to the U.S. IRS static file host (www.irs.gov/pub/irs-soi) to download the public SOI ZIP-code CSV; no API key is needed and nothing about your queries leaves your machine. The downloaded dataset is cached on disk as a local SQLite file (under your OS cache dir, or SOI_MCP_STORE); delete it any time.
Full policy: https://mcpwright.com/privacy/
Contributions welcome — and if you build something with it, I'd love to hear about it.
Part of mcpwright · built by Devender Gollapally