sanctions.io MCP by usefulapi
Screen names against sanctions, PEP and watchlists; list screening sources in sanctions.io.
제작자가 쓴 설명(영어 원문)
MCP server for Brazilian Federal Senate open data (legislative, administrative, e-Cidadania).
이 세 가지는 절대 하나의 점수로 합치지 않아요. 의견, 측정, 인기는 서로 다른 것이니까요.
이 서버는 아직 쉬운 말로 된 요약을 쓰지 못했어요. 아래는 레지스트리에서 읽어 온 사실이에요.
쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.
필요한 것
어떤 앱을 쓰세요?
위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.
웹, 데스크톱, 모바일의 Claude에서 쓸 수 있어요:
https://senado.sidneybissoli.com/mcpClaude Desktop → Settings → Developer → Edit Config를 열고 claude_desktop_config.json에 이 내용을 붙여 넣으세요
{
"mcpServers": {
"senado-br-cloudflare": {
"command": "npx",
"args": [
"-y",
"senado-br-mcp"
]
}
}
}터미널에서 이 명령어를 실행하세요
claude mcp add --transport http senado-br-cloudflare https://senado.sidneybissoli.com/mcpclaude mcp add senado-br-cloudflare -- npx -y senado-br-mcp프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"senado-br-cloudflare": {
"url": "https://senado.sidneybissoli.com/mcp"
}
}
}프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"senado-br-cloudflare": {
"command": "npx",
"args": [
"-y",
"senado-br-mcp"
]
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"senado-br-cloudflare": {
"type": "http",
"url": "https://senado.sidneybissoli.com/mcp"
}
}
}프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"senado-br-cloudflare": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"senado-br-mcp"
]
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
ChatGPT는 인터넷에 있는 서버에만 연결할 수 있어요:
https://senado.sidneybissoli.com/mcp메뉴 이름은 요금제나 시기에 따라 조금 다를 수 있어요.
선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.
이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.
아직 이 서버의 도구 목록을 읽지 않았어요. 엔드포인트는 차례대로 돌아가며 점검해요.
누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 8일 점검
레지스트리 이름이 GitHub 계정 SidneyBissoli 기준으로 확인되었고, 이 계정이 저장소를 소유하고 있어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
219ms 만에 응답(HTTP 200)
로그인 필요 없음
아직 점검하지 않았어요. 엔드포인트를 점검할 때 도구 목록을 읽어요
레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.
해당하는 기본 점검 2개 중 2개를 통과했어요. 코드는 읽지 않았어요. 키나 토큰을 넣기 전에 서버가 어떤 권한을 요구하는지 확인하고, 꼭 필요한 권한만 있는 키를 쓰세요.
레지스트리에 필수 키가 나와 있지 않아요. 다만 처음 쓸 때 로그인을 요구하는 서버도 있어요.
둘 다 가능해요. 내 컴퓨터에 설치해도 되고, 클라우드 버전에 연결해도 돼요.
GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(3.25.3)은 6일 전 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. URL로 연결되기 때문에, 원격 MCP 서버를 지원하는 앱(예: 개발자 모드의 ChatGPT)에서도 쓸 수 있어요.
같은 카테고리에는: sanctions.io MCP by usefulapi, Worldbank MCP, Uk Parliament MCP
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:↓ 주간 다운로드i★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
Screen names against sanctions, PEP and watchlists; list screening sources in sanctions.io.
World Bank Open Data: indicator catalogue sea MCP: real tools for real work.
UK Parliament open data: find MPs and Lords, read member profiles, and search bills with their
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
🇧🇷 Leia em Português
A public, hosted MCP server that gives AI assistants live, structured access to Brazilian Senate open data — no installation, no account, no API key. Point your MCP client at the hosted endpoint and start asking about senators, bills, votes, expenses, and more. It runs on Cloudflare Workers over Streamable HTTP.
It exposes 69 tools, 4 prompts, and 5 resources across two domains:
Data comes from three official sources — the legislative open-data API, the administrative open-data API, and the e-Cidadania portal. All tool responses are in Portuguese (pt-BR). See CHANGELOG.md for release history.
Point a client at the endpoint and ask in plain language — English or Portuguese:
senado_search_votacoessenado_buscar_materias + senado_obter_materiasenado_ceapsThe answers come live from the Senate's official open-data APIs — exact figures with provenance, not numbers guessed from training data.
Other Brazilian MCP servers also touch the Senate — mcp-brasil and mcp-dados-br are multi-source aggregators in which the Senate is one source among many. The difference is coverage and how you run it. Measured in each one's source code on 2026-10-11:
| Senate tools | Covers | Where it runs | |
|---|---|---|---|
| senado-br-mcp (this) | 69 | legislative, administrative (CEAPS, staff, contracts, budget) and e-Cidadania, with provenance on every answer | hosted, no install or key; or npx |
| mcp-brasil 0.14.0 | 26 | legislative (senators, bills, floor votes, committees, agenda) — plus dozens of other government sources | local or self-hosted (Python) |
| mcp-dados-br 0.6.0 | 3 | sitting senators, bill list, vote tally — plus IBGE, BCB, INMET, Chamber of Deputies | local (Python) |
Pick an aggregator when the question crosses the Senate with the Chamber of Deputies, the electoral court (TSE) or the Transparency Portal. Pick this server for expenses (CEAPS), staff, contracts, budget, speeches, committee votes, vetoes or e-Cidadania — areas the others don't cover. Full per-area table, side-by-side examples and how to re-measure (in Portuguese): docs/comparativo-alternativas.md.
This is a remote, hosted, open-access server. To use it, point any MCP client at the Streamable HTTP endpoint — no install, no account, no API key, no configuration:
https://senado.sidneybissoli.com/mcp
For OpenAI Apps SDK submission and review, the Worker also exposes a curated MCP surface:
https://senado.sidneybissoli.com/mcp/openai-app-v2
This endpoint intentionally keeps the full public MCP server intact at /mcp, but limits tool discovery to 27 high-signal, intent-oriented tools for ChatGPT app use. /mcp/openai-app remains available as a legacy alias, but new ChatGPT app configurations should use /mcp/openai-app-v2 so clients fetch the current tool schema. The tools still call the same handlers and return the same provenance envelope; only the advertised surface is narrower. Any ChatGPT app listing should present this as an independent open-data research app, not as an official Senate, OpenAI or ChatGPT connector.
For ChatGPT Apps, those 27 tools also advertise a shared MCP Apps UI template at ui://senado-br-mcp/openai-app-dashboard-v2.html. The self-contained widget renders the returned structuredContent as a compact dashboard with metrics, main records, and source/provenance, without adding another model-visible data tool.
Public legal URLs for app review:
https://senado.sidneybissoli.com/privacyhttps://senado.sidneybissoli.com/termsChatGPT deep research (and company knowledge, and research workflows over the Responses API) only uses an MCP server that exposes exactly search and fetch — this server does, on top of the senado_* tools, on the full /mcp surface (not on the curated app profile). Point the connector at the hosted endpoint, no key required:
https://senado.sidneybissoli.com/mcp
search ranks the query against the senators in office and the active committees of the Senate and the National Congress and returns { id, title, url } (sen: / com: ); fetch returns the document as readable Markdown — the senator's biography and mandates, or the committee's summary and board — with the canonical public page (the senator's profile on www25.senado.leg.br or the committee page on legis.senado.leg.br), which is what ChatGPT cites. Both carry the same provenance block as every other tool, in structuredContent and _meta (the text channel is the contract's JSON). In ChatGPT's developer mode (Settings → Security and login → Developer mode) any tool is callable — the senado_* tools remain the ones to use for data.
For clients that launch MCP servers as a command — and for one-command setup — use the mcp-remote bridge. No build, no config, no key:
npx -y mcp-remote https://senado.sidneybissoli.com/mcp
Everything below *Architecture* (Prerequisites, Setup, Deploy) is only for optionally self-hosting your own instance — it is not required to use this public server.
Prefer not to route queries through a third-party host (e.g. a newsroom policy)? The same server also runs as a local stdio process that talks directly to the official government APIs — same 69 tools, same provenance envelope, no Cloudflare in the loop. This is the npm/stdio channel, published as senado-br-mcp.
Point a command-based client (Claude Desktop/Code, etc.) at the package — npm fetches and runs it, no clone or build:
{
"mcpServers": { "senado-br": { "command": "npx", "args": ["-y", "senado-br-mcp"] } } }
To run it directly or hack on it, use the source checkout instead:
git clone https://github.com/SidneyBissoli/senado-br-mcp-cloudflare
cd senado-br-mcp-cloudflare npm install npm run build node dist/cli.js # serves MCP over stdio (Ctrl+C to stop)
Parity with the hosted server: the legislative and administrative tools are identical (same upstream APIs, same throttle/cache/provenance) — locally the L1 Cloudflare cache is a no-op, but the L0 in-memory cache still works, so results are the same. The only difference is the e-Cidadania list/corpus tools: without D1 they fall back to a live scrape of the ~5 REST highlights, flagged via meta.fonte / possivelDesatualizacao; the detail tools (obter_*) are identical. Logs go to stderr — stdout carries only the JSON-RPC protocol stream.
This repo bundles a Claude Agent Skill at .claude/skills/senado-br/ that teaches Claude when to reach for this server and how to use its 69 tools well — a themed tool map, common question→tool playbooks, the provenance contract, and gotchas (dates, the codigoMateria bridge, e-Cidadania's open-set listing, pagination). It points back to the server's own senado://catalogo / senado://guia resources rather than duplicating them.
Claude Code auto-discovers it when you work in this repo. To use it elsewhere, copy .claude/skills/senado-br/ into your ~/.claude/skills/, or zip the folder and upload it in claude.ai (Settings → Features). The skill assumes the senado-br MCP server is connected (hosted or via npx).
createMcpHandler from agents/mcp/mcp handles the full public server; /mcp/openai-app-v2 exposes a curated 27-tool profile plus a shared MCP Apps widget for OpenAI app review/submission (/mcp/openai-app remains as a legacy alias)@modelcontextprotocol/server 2.x (per-request McpServer instances; the v1 @modelcontextprotocol/sdk is not installed — agents still lists it as a peer, satisfied via legacy-peer-deps)앞부분만 보여 드려요. 나머지는 저장소에서 읽어 보세요