IRS SOI (income by ZIP)

io.github.mcpwright由 GitHub 账号 mcpwright 发布v0.1.2更新于 Oct 24, 2026

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

已验证STDIO仅桌面金融数据与分析

概览

AI 生成的概览

本地 MCP 服务器,让助手按美国 ZIP 代码查询 IRS 收入统计数据(只读):收入、AGI 分档、税款、抵免与扣除。

可以做什么
查询某个 ZIP 是否有 SOI 数据,返回州、申报数、人数和税年。读取收入数据:AGI、每份申报平均 AGI、工资、利息、股息、经营所得和资本利得。按六个 IRS AGI 档位拆分该 ZIP 的申报数与 AGI,或按指定指标对多个 ZIP 排序。读取税款、抵免(按合格子女数划分的 EITC、儿童税收抵免)和扣除(标准与分项、SALT)。获取申报身份与电子申报数量、全州汇总与档位构成,或单个 SOI 字段代码的原始值。
适用场景
适合让助手回答美国各 ZIP 地区收入水平、税负或抵免使用情况的问题,或比较社区与州,且无需 API 密钥。
运行要求
通过 stdio 本地运行;需要 Python 3.12+ 以及 uv/uvx 启动 PyPI 包。首次调用会从 IRS 下载约 200 MB 的 CSV 到操作系统缓存目录下的本地 SQLite 存储;可选环境变量 SOI_MCP_STORE 可覆盖该路径。无需 API 密钥或账户。
安装前请注意
首次运行需联网下载大文件。数据滞后约两到三年,默认使用最新可用税年。IRS 的抑制规则会把申报数少于 100 的 ZIP 并入 99999 桶,并隐去较小的明细项,因此合计可能偏低且与州合计不一致。数据是已申报税表的汇总,并非人口普查。本地 SQLite 存储可随时删除。

安装

在 SourceWeft 中

  1. 打开 控制台中的 IRS SOI (income by ZIP),将其添加到工作区。
  2. 为需要使用其工具的对话启用该服务。

Desktop only,通过 STDIO。 STDIO 服务会启动本地进程,因此需要 SourceWeft 桌面宿主。

其他 MCP 客户端

参照 仓库 中的启动说明。

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

来源:README.md,提交 3b1614d

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版本历史

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  1. v0.1.2最新Sep 16, 2026

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