Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
作者提供的说明(英文原文)
A U.S. voter's ballot by address, with an exact quote and source behind every candidate position.
这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。
我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。
选择你使用的 AI 应用,然后复制设置。
你需要
你用的是哪个应用?
在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。
适用于网页版、桌面版和手机版 Claude:
https://plainballot.com/mcp在终端中运行这条命令
claude mcp add --transport http plain-ballot https://plainballot.com/mcp粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"plain-ballot": {
"url": "https://plainballot.com/mcp"
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"plain-ballot": {
"type": "http",
"url": "https://plainballot.com/mcp"
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
ChatGPT 只能连接互联网上的服务器:
https://plainballot.com/mcp菜单名称可能因套餐和版本不同而略有差异。
你的选择通过 Cookie 保存在这台设备上,无需账户。
这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。
工具名称和描述与服务器在 2026年11月6日 报告的完全一致。这些内容由作者撰写,不是我们写的;我们以纯文本形式显示。
list_issuesThe 18 issues Plain Ballot tracks. Each has two sides, each worded the way its own supporters would say it. Use the short side labels ("l" and "r") when giving priorities to score_fit.
get_ballotEvery researched race on the ballot for a U.S. street address, with each choice's position on the issues that office decides, the exact quote, and the source URL.
score_fitHow closely each choice on the voter's ballot fits the priorities the voter stated, from 0 to 100. Plain arithmetic, the same as plainballot.com: issues where a choice has no sourced position are left out, never guessed. Only use priorities the voter actually gave you.
我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月8日
注册名称已通过 GitHub 账户 n8peace 验证,该账户拥有此仓库
我们还没有从 GitHub 读取这个仓库
我们还没有从 GitHub 读取这个仓库
在 310 毫秒内响应(HTTP 200)
无需登录
已读取 3 个工具描述,未发现针对 AI 的隐藏指令
与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。
它在 3 项适用的基础检查中通过了 3 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。
注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。
它在作者的云端运行。通过互联网连接,无需安装,但你发送的内容会经过作者的服务器。
GitHub 仓库最后更新于–,最新版本(1.0.0)于4天前进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。它通过 URL 连接,所以接受远程 MCP 服务器的应用也可以使用,例如开启开发者模式的 ChatGPT。
同一分类中有:Spec Driven Development, Remote Desktop Commander, A1RO — Irish employment tools
同一分类中其他作者的服务器,按星标数排序。
如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
Irish temp worker cost, public holiday pay and holidays, and SafeHandle certificate checks.
按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。
Every race on your ballot, matched to what you care about. Every position backed by a quote you can check.
plainballot.com · How it works · The open data · Contribute
Who's running, and where do they stand? Pick the issues you care about, set a dial for each, and enter your address. Plain Ballot goes through your ballot and shows who fits you, why, and where that came from. Party labels stay hidden until you ask. No ads, no account, and your address isn’t stored.
Covering every race in California, plus U.S. House and Senate races in all 50 states, for Nov 3, 2026.
Two projects, both free and open:
Chatbots get voting facts wrong. Plain Ballot is built so no single model's word ever reaches a voter.
The research is its own project: [Open Election Data](https://github.com/n8peace/open-election-data). It has a free, static API with no key needed:
curl -s https://n8peace.github.io/open-election-data/v1/divisions/ca/cd-10.json
Use it for anything, including commercial products, under the Open Database License: credit it, and share improvements to the data under the same terms.
Plain Ballot works without a browser. Point any AI agent that supports MCP (Claude, ChatGPT, Cursor and others) at:
https://plainballot.com/mcp
It has three read-only tools:
list_issues: the 18 issues and how each side is worded.get_ballot: every researched race for a street address, with each choice's position, the exact quote, and the source.score_fit: how closely each choice fits the priorities the voter gave, using the same arithmetic as the site. No model is involved.The agent is told the same rules the site follows: stay nonpartisan, quote and link sources, never fill in a missing position, and only score priorities the voter actually stated. Addresses aren't stored.
Prefer plain JSON? GET https://plainballot.com/api/ballot?address=... returns the same ballot, and the research itself is a free static API.
Good sources are already out there, and Plain Ballot learns from them:
What we couldn't find was a free, open dataset of where candidates stand, with a checkable quote behind every position, with every candidate on the same issues so they can be compared, and free for anyone to reuse. So we built one: Open Election Data. Every claim still comes from the candidate's own words: agents follow a summary back to the candidate's site, voting record or interview and quote that.
The research runs on your own Claude or ChatGPT plan, so anyone can add coverage without paying for API credits. It happens in Open Election Data, which has an open "research your state" issue for each state.
npm install
cp .env.example .env.local npm run dev # http://localhost:3000
Without keys, it runs on a fictional sample ballot and the dials still work. Researched races come from the open data's API (set ELECTION_DATA_DIR to a local checkout's data/positions to work offline). Keys turn on typed priorities (AI_GATEWAY_API_KEY), real ballot lookup (GOOGLE_CIVIC_API_KEY) and address suggestions (GOOGLE_PLACES_API_KEY).
npm test # matching, neutrality, sharing, abuse limits
npm run eval # does the AI put people on the right side of each dial? (calls the model) npm run check:issues # dial wording matches the research data
Next.js on Vercel. The Census geocoder finds a voter's districts. Researched races come from the Open Election Data API, matched to voters by district. BotID, rate limits and a spending cap protect the paid endpoints (docs/security.md). The full picture, with a diagram: docs/ARCHITECTURE.md. Coding with an AI agent? Point it at AGENTS.md.
The most useful help is research and checking research, and neither needs code. See CONTRIBUTING.md, or open a ready-to-run copy in your browser:
AGPL-3.0. Anyone can run their own copy, but a hosted copy has to publish its changes, so nobody can quietly run a biased version.