IRS SOI (income by ZIP)

io.github.mcpwright由 GitHub 帳號 mcpwright 發布v0.1.2更新於 Oct 24, 2026

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

已驗證STDIO僅桌面金融資料與分析

概覽

AI 產生的概覽

本機 MCP 伺服器,讓助理依美國 ZIP 代碼查詢 IRS 收入統計資料(唯讀):收入、AGI 分級、稅額、抵減與扣除額。

可以做什麼
查詢某個 ZIP 是否有 SOI 資料,回傳州、申報數、人數與稅務年度。讀取收入資料:AGI、每份申報平均 AGI、薪資、利息、股利、營業所得與資本利得。依六個 IRS AGI 級距拆分該 ZIP 的申報數與 AGI,或依指定指標排序多個 ZIP。讀取稅額、抵減(依合格子女數區分的 EITC、兒童稅額抵減)與扣除額(標準與列舉、SALT)。取得申報身分與電子申報數量、全州彙總與級距組成,或單一 SOI 欄位代碼的原始值。
適用情境
適合讓助理回答美國各 ZIP 地區收入水準、稅負或抵減使用情況的問題,或比較社區與州,且不需 API 金鑰。
執行需求
透過 stdio 在本機執行;需要 Python 3.12+ 以及 uv/uvx 啟動 PyPI 套件。首次呼叫會從 IRS 下載約 200 MB 的 CSV 到作業系統快取目錄下的本機 SQLite 儲存;選用環境變數 SOI_MCP_STORE 可覆寫該路徑。不需 API 金鑰或帳號。
安裝前請注意
首次執行需連網下載大型檔案。資料落後約兩到三年,預設使用最新可用稅務年度。IRS 的抑制規則會把申報數少於 100 的 ZIP 併入 99999 桶,並隱去較小的明細項目,因此合計可能偏低且與州合計不一致。資料是已申報稅表的彙總,並非人口普查。本機 SQLite 儲存可隨時刪除。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 IRS SOI (income by ZIP),將其新增到工作區。
  2. 為需要使用其工具的對話啟用該服務。

Desktop only,透過 STDIO。 STDIO 服務會啟動本機處理程序,因此需要 SourceWeft 桌面主機。

其他 MCP 客戶端

參照 儲存庫 中的啟動說明。

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

來源:README.md,提交 3b1614d

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  1. v0.1.2最新Sep 16, 2026

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