IRS SOI (income by ZIP)

io.github.mcpwrightPublished by GitHub account mcpwrightv0.1.2Updated Oct 24, 2026

IRS income & tax stats by ZIP in your agent: AGI distribution, tax, credits, deductions.

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Overview

AI-generated overview

A local MCP server that gives an assistant read-only IRS Statistics of Income data by U.S. ZIP code: income, AGI brackets, tax, credits and deductions.

What you can do
Look up a ZIP and confirm it has SOI data, with state, return and individual counts and tax year. Retrieve income figures: AGI, average AGI per return, wages, interest, dividends, business income and capital gains. Break a ZIP's returns and AGI across the six IRS AGI brackets, or rank several ZIPs by a chosen metric. Read tax, credits (EITC by qualifying children, child tax credit) and deductions (standard vs itemized, SALT). Get filing-status and e-filing counts, whole-state totals and bracket mix, or the raw value of a single SOI field code.
When to use it
Useful when you want an assistant to answer questions about local income levels, tax burden or credit take-up for U.S. ZIP codes, or to compare neighborhoods and states, without an API key.
Requirements
Runs locally over stdio; needs Python 3.12+ and uv/uvx to launch the PyPI package. The first call downloads a roughly 200 MB IRS CSV into a local SQLite store in the OS cache directory; the optional SOI_MCP_STORE variable overrides that path. No API key or account.
Before you install
The first run downloads a large file from the IRS site, so network access is needed once. Data lags about two to three years and reflects the latest available tax year by default. IRS suppression means ZIPs under 100 returns are folded into a 99999 bucket and small line items are withheld, so totals can understate reality and differ from state totals. Figures are aggregates of filed returns, not a census. The local SQLite store can be deleted at any time.

Installation

In SourceWeft

  1. Open IRS SOI (income by ZIP) in the dashboard and add it to a workspace.
  2. 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

soi-mcp

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 refresh <year> away. See the roadmap for what's next.

Tools

ToolWhat 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.

Install

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"):

bash
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:

bash
uvx mcpwright-soi setup            # download the latest available yearuvx mcpwright-soi refresh 2021     # re-pull a specific older year for comparison

Claude Code

bash
claude mcp add soi -- uvx mcpwright-soi

Claude Desktop

Add to claude_desktop_config.json:

json
{  "mcpServers": {    "soi": { "command": "uvx", "args": ["mcpwright-soi"] }  }}

OpenAI Agents SDK (Python)

It's a standard MCP server, so it works with any MCP-capable client — not just Claude. With the OpenAI Agents SDK:

python
from agents import Agent, Runnerfrom 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)

Any other MCP client (Cursor, VS Code, Cline, Goose, Zed, …)

They all launch a stdio MCP server the same way — point yours at:

json
{  "mcpServers": {    "soi": { "command": "uvx", "args": ["mcpwright-soi"] }  }}

Hosted chat connectors (e.g. ChatGPT connectors) expect a remote MCP server over Streamable HTTP; mcpwright-soi runs locally over stdio.

Storage: the dataset lives in a SQLite file under your OS cache dir (override with the SOI_MCP_STORE env var). Delete it any time; setup / refresh rebuilds 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.

Develop

bash
git clone https://github.com/mcpwright/soi-mcp && cd soi-mcpuv syncuv run pytest                                          # tests (mocked download + seeded SQLite)uv run ruff check src/ && uv run ruff format --check src/   # lint + formatuv run mypy                                            # strict type checkinguv run mcp dev src/soi_mcp/server.py                   # poke the tools in the MCP Inspector

Roadmap

  • lookup_zip / get_income / get_agi_distribution — the income backbone
  • get_tax / get_credits / get_deductions / get_filing_status — the tax side
  • compare_zips — rank ZIPs by a metric
  • get_state_totals — state rollups from the IRS 00000 row
  • get_soi_field — raw-field escape hatch
  • setup / refresh [year] — download once, re-pull or pick an older tax year
  • Publish to PyPI (mcpwright-soi) + the official MCP Registry (io.github.mcpwright/soi-mcp)
  • Multi-year queries in one call (trend a ZIP across tax years)

Privacy

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/

Questions & feedback

  • Questions, ideas, or "could it do X?" → Discussions
  • Bugs & concrete feature requests → Issues

Contributions welcome — and if you build something with it, I'd love to hear about it.


Part of mcpwright · built by Devender Gollapally

Source: README.md at commit 3b1614d

Tools

0
SourceWeft has not started this package in its sandbox yet, so its tools are not known.

Version history

1
  1. v0.1.2LatestSep 16, 2026

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