原型 · 预览版:收录官方注册中心里的全部服务器,每 30 分钟同步一次。评价和账户功能将在后续阶段推出。
PopNx MCP为使用 AI 的人准备的 MCP 服务器 · 用大白话讲清楚

Oravan

作者:cm2489版本 0.1.0i★ –i在云端运行
注册名称org.oravan/mcp

安装

概览

作者提供的说明(英文原文)

Nonpartisan U.S. Congress data: bill decodes, rep lookup, bilingual EN/ES, read-only, no accounts.

PopNx MCP 的三大支柱

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。

它能帮你做什么

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。

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

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:

  1. 打开 Settings → Connectors
  2. 点击 Add custom connector
  3. 粘贴下面的地址,然后点击 Add
  4. 如果要求登录,请登录作者的服务
SettingsConnectors1+ Add2https://…3
https://oravan.org/api/mcp/mcp

在终端中运行这条命令

claude mcp add --transport http oravan https://oravan.org/api/mcp/mcp

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "oravan": {
      "url": "https://oravan.org/api/mcp/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。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "oravan": {
      "type": "http",
      "url": "https://oravan.org/api/mcp/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:

  1. 打开网页版 ChatGPT → Settings → Connectors (Apps)
  2. 点击 Create 或 Add(部分套餐需要先在 Advanced 中开启 Developer mode)
  3. 粘贴下面的地址,起个名字,然后保存
  4. 如果要求登录,请登录作者的服务
SettingsConnectors1+ Create2https://…3
https://oravan.org/api/mcp/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。

它能做什么

我们还没有读取这个服务器的工具列表;我们会轮流检查各个端点。

基础检查i

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6日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过域名 oravan.org 验证(注册中心会核实域名所有权)

  • … 尚未检查

    仍在维护

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    有许可证

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    端点有响应

    尚未检查;我们会轮流检查各个端点

  • … 尚未检查

    使用 OAuth 登录

    尚未检查;我们会轮流检查各个端点

  • … 尚未检查

    工具描述中没有隐藏指令

    尚未检查;我们会在检查端点时读取工具列表

与“其他”中的其他服务器比较i

  • 星标数多于此分类中其他 32509 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 32509 个服务器的 17% 更新
  • 基础检查结果等于或优于此分类中其他 32509 个服务器的 100%

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。

常见问题

Oravan 安全吗?

它在 1 项适用的基础检查中通过了 1 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。

它需要哪些密钥或代码?

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。

它在我的电脑上运行还是在云端?

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。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(0.1.0)于4个月前进入注册中心。

哪些应用可以使用它?

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。

有什么可以替代它?

同一分类中有:Spec Driven Development, Remote Desktop Commander, Fomu MCP

替代选择

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

Spec Driven Development

作者:formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

在你的电脑上运行★ 440MIT14个月前更新
安装

Remote Desktop Commander

作者:desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

在云端运行★ 211昨天更新
安装

Fomu MCP

作者:gabrielmahia

Kenya government form guides: checklists, draft letters, eCitizen, Huduma, timelines. Sample data.

在你的电脑上运行今天更新
安装

作者的 README

打开 README

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。

Oravan

Your line to Congress · Tu línea con el Congreso

Oravan is free, nonpartisan civic infrastructure: find your federal representatives, understand active bills in plain language (English and Spanish), get a 30-second call script, and make the call — in under 5 minutes, with no account.

MCP server

This repository also implements a remote MCP (Model Context Protocol) server — the same decoded corpus and lookups, exposed for AI assistants and agents:

  • Endpoint (Streamable HTTP): https://oravan.org/api/mcp/mcp — keyless, read-only, rate-limited; no account or credentials required
  • Local/stdio: npm ci then npx tsx scripts/mcp-stdio.mjs — the same 5 tools over stdio, zero env vars/secrets required
  • Implementation: app/api/mcp/[transport]/route.ts (built on mcp-handler + @modelcontextprotocol/sdk), tool definitions shared with the stdio entry via lib/core/mcp-tools.ts, pure data layer in lib/core/
  • Five tools: lookup_representatives, get_bill, search_bills, whats_moving, get_representative — every response carries a citation envelope (source, as-of freshness, AI-content label, license) in English or Spanish
  • Official MCP Registry: published as org.oravan/mcp (server.json at the repo root, schema-validated in CI by scripts/check-server-json.mjs)
  • Docs: oravan.org/mcp (tool reference, client config, privacy posture) · docs/mcp-server-readme.md

Design principles

  1. Zero accounts. ZIP code, interests, and call history live in localStorage on the visitor's device. No server-side user data exists — nothing to breach, leak, or subpoena. This is the core privacy posture for at-risk users, not a missing feature.
  2. Static-first. Bills, legislators, district offices, and ZIP→district mappings are static JSON in data/, baked into ~7,500 statically generated pages (7,566 in the 2026-09-24 build, including a page for every member of Congress and a daily brief). Fast, nearly free to host, resilient under load. The server endpoints are /api/script (AI call-script generation, cached per bill + stance + language + content version in a shared store, IP rate-limited), /api/reps (pure lookup), /api/district (stateless split-ZIP address refinement: proxies the Census geocoder so the visitor's IP never reaches census.gov; the address is never stored or logged), /api/mcp (the MCP server below), /api/brand (an AI theme suggestion for a partner's site, used by the /embeds configurator, which is hidden until embeds come back), /api/stripe/webhook (partner-plan provisioning; refuses with 503 until its signing secret is set), /api/tenant/impressions (a partner reads its own embed impression counts), and /embed/portrait/[bioguide] (a same-origin portrait proxy for the embeds). Two page routes render per request — /reps (it reads the ZIP from the URL) and /nominations/[slug] — and tests/static-rendering.spec.ts names them with the reason.
  3. Bilingual as a first-class feature. Full EN/ES UI via next-intl; scripts are generated in the user's language.
  4. Truth first; the call is the natural next step. Oravan leads as an unbiased, plain-words account of what Congress is actually doing — understanding is the front door, never an assignment. The call apparatus stays the differentiator (voicemail legitimized, offices tally it identically; after-hours calling encouraged; district offices listed alongside DC; outcomes — spoke / voicemail / couldn't reach — logged locally on the device), and every decoded answer on a decision still open keeps a completed call script within two interactions; once the decision is over — a law, a rejected vote — the page shows the outcome and how your members voted instead. Demoted, never buried. *(Amended 2026-07-26; previously "The call moment is the product." Scoped to a decision still open on 2026-09-28. Enforced by the three named invariants in tests/funnel.spec.ts.)*
  5. Honest about AI. Every generated summary and script is labeled at first contact, and nothing publishes unless the automated gates pass: both languages present, the official record attached, and a schema check on every decode — a decode that comes back missing a required field is discarded rather than stored half-written, and scripts/verify-sync.mjs re-checks the whole corpus and fails the nightly run before it is allowed to commit anything. *(Amended 2026-08-12: one check left that file and now runs AFTER the commit — the cursor-age ceiling in scripts/check-cursor-age.mjs. It is a progress signal, not a corpus one: a stalled cursor means we are behind, and failing it before the commit made a stalled night throw away a night of already-paid decodes. Every corpus check named here is unchanged and still runs before anything is committed. See docs/constitution-log.md#cursor-age-2026-08-12.)* Nonpartisan wording is a *drafting instruction* to the model on bill decodes and an *enforced vocabulary lint* on Big Questions (lib/moments-gate.mjs) — the two are not the same guarantee, and the copy never blurs them. The nightly decode path has no human step and the product never claims one; the one review it does claim is real: a caller reads, and can edit, the call script before dialing. *(Amended 2026-08-06; previously "labeled, editable, and reviewed by the human before any call." See the 2026-07-25 amendment in docs/constitution-log.md, which this line should have followed and did not.)*

AI content is labeled at first contact, and a call script is read — and editable — by the caller before it drives a call. That last clause is scoped to call scripts on purpose: decodes and Moment update summaries publish behind automated gates with no human step, so the label is the whole disclosure there. The label sits with the content, above the fold — never in a footnote. *(Moved here from DESIGN.md on 2026-09-27, when that file was retired.)*

  1. Accessible by default. Semantic landmarks, skip link, visible focus, prefers-reduced-motion, 44px+ touch targets, AA contrast.

Data sources

FileSourceRefresh
data/bills.json + data/bills-es.jsonDecoded bill corpus (Congress.gov bills + AI plain-language summaries, English and Spanish)Nightly sync (scripts/sync-bills.mjs via sync-bills.yml): statuses refresh freely; new bills are decode-before-publish, entering the corpus only once their EN and ES summaries exist. Each record also stores which text version its decode was produced from, and a bill whose text Congress replaces — an amendment in committee changes the document without changing the title or the status — is re-read from the new text on a later nightly, at most 10 a night (REDECODE_MAX_PER_NIGHT, a cost ceiling; the backlog of older records drains a few a night, urgent bills first)
data/legislators.jsonunitedstates/congress-legislators (public domain) + district officesscripts/process-data.py
data/zip-districts.jsonOpenSourceActivismTech/us_zipcodes_congresssame
data/vacancies.jsonDerived, not fetched: scripts/vacancy_diff.py diffs seat sets against the currently-committed data every run, so a departed member with no successor surfaces as an explicit vacancy (reps page, /api/reps, MCP lookup_representatives) instead of silently disappearing or being backfilled from a stale term recordscripts/process-data.py (same run as legislators.json)
data/special-elections.jsonEach vacant seat's special-election dates exactly as the Federal Election Commission's election-dates API lists them (date + the FEC's election-type code), with the day they were checked. No row means an empty list, never a guessed date; no member-elect is recorded, because no official machine-readable source names one before the oath. Shown on the vacant-seat card on /reps and the seat's own pagescripts/sync-special-elections.mjs, weekly via refresh-legislators.yml right after the vacancy diff (api.data.gov's public DEMO_KEY, no secret; a failed request keeps the last entry and its old checked date)
data/redistricting-watch.jsonHuman-authored (status/note) for the 10 states with contested-or-recent 2025–26 mid-decade map changes; rdh_lastmod is a tripwire baseline against the Redistricting Data Hub's own state-page sitemap — see docs/solutions/two-clock-district-boundaries.mdscripts/check-redistricting-watch.mjs, weekly via refresh-legislators.yml; on change it comments on ONE standing, pinned redistricting-watch issue whose body is a rewritten 10-state status board (it used to open one issue per changed state — ten accumulated in six weeks, eight of them from a single RDH site-wide republish), never auto-updates status/note
data/nominations.jsonCivilian Senate nominations (PNs) of the 119th Congress — Congress.gov's own citation, description sentence, and latest action, plus a status derived from that action text by lib/nomination-status.mjs's rule table. No AI touches this file — Oravan does not decode or rewrite a nomination, because Congress.gov's description is already one plain English sentence, so /nominations/[slug] renders the Senate's own record verbatim and says so on the page. The one piece of AI is the call script, labeled where it is generated. A nomination can be a Big Question's vehicle; the card, the page, and the call are live. It stays English on /es like the coverage titles below (see Known v1 caveats). Military promotion lists are excluded (no description, no nameable nominee). No MCP tool exposes nominations yet.scripts/sync-nominations.mjs (nightly, one free request; gated by scripts/check-nominations.mjs)
data/coverage.jsonReal news articles about top-band bills via TheNewsAPI, AI-relevance-filtered (Haiku)scripts/sync-coverage.mjs (nightly, gated on NEWS_API_KEY)
data/media-bias.jsonOutlet political-lean ratings by AllSides, used under CC BY-NC with attributionVendored snapshot

Portraits are served from the public-domain unitedstates/images project.

Solved pipeline incidents (root cause + the CI gates that prevent recurrence) are documented in docs/solutions/.

The "Read" section (outlet-bias coverage)

Each top bill's page shows real third-party articles about it, labeled by the outlet's political lean (Left / Center / Right) — reusing AllSides' publication-level ratings, never a Oravan-invented one. Oravan takes no stance and authors no partisan text: AI is used only behind the scenes — generating each bill's news-search terms (press-style names and a subject query) and a cheap relevance gate (is this article about this bill?) — and authors nothing displayed. The ingestion runs nightly in CI and bakes results to JSON, so the site still makes zero runtime third-party calls. Without NEWS_API_KEY the sync is a no-op and the section renders nothing; a small hand-built real sample (data/coverage.json) keeps it demoable. Lean is shown by text label + position only — never party colors (a hard rule; see CLAUDE.md, rule 3).

Develop

npm install

echo "ANTHROPIC_API_KEY=sk-ant-..." > .env.local # script generation + decode/relevance echo "NEWS_API_KEY=..." >> .env.local # optional; enables the "Read" coverage sync npm run dev

npm run build statically generates every bill page in both locales.

Known v1 caveats

  • ZIP→district mapping is ZCTA-

只显示了开头部分;其余内容请在仓库中阅读

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