sanctions.io MCP by usefulapi
Screen names against sanctions, PEP and watchlists; list screening sources in sanctions.io.
作者による説明(英語の原文)
Search and read Lebanese laws, articles, court rulings and Gazette issues. Verbatim texts only.
この3つを1つのスコアにまとめることはしません。意見、測定、人気はそれぞれ別のものだからです。
このサーバーのやさしい解説はまだ書いていません。以下はレジストリから読み取った事実です。
使っているAIアプリを選んで、設定をコピーしてください。
必要なもの
どのアプリを使っていますか?
上でアプリを選んでください。選んだアプリを覚えておくので、次からはボタンに「…にインストール」と表示されます。
ウェブ、デスクトップ、モバイルのClaudeで使えます:
https://lebaneselegislation.com/mcpターミナルでこれを実行します
claude mcp add --transport http lebaneselegislation https://lebaneselegislation.com/mcpプロジェクトの .cursor/mcp.json、または ~/.cursor/mcp.json に貼り付けます
{
"mcpServers": {
"lebaneselegislation": {
"url": "https://lebaneselegislation.com/mcp"
}
}
}ブラウザがアプリを開いてよいか確認し、そのあとアプリが設定を表示して確認を求めます。キーの値は空欄のままなので、自分で入力してください。
プロジェクトの .vscode/mcp.json に貼り付けます
{
"servers": {
"lebaneselegislation": {
"type": "http",
"url": "https://lebaneselegislation.com/mcp"
}
}
}ブラウザがアプリを開いてよいか確認し、そのあとアプリが設定を表示して確認を求めます。キーの値は空欄のままなので、自分で入力してください。
ChatGPTがつなげるのは、インターネット上のサーバーだけです:
https://lebaneselegislation.com/mcpメニューの名前は、プランや時期によって少し違うことがあります。
選んだアプリは、この端末のCookieに保存されます。アカウントは不要です。
この設定は、作者のレジストリ登録情報から作成しています。READMEと違う場合は、READMEに従ってください。
ツールの名前と説明は、サーバーが2026年11月7日に返したそのままの内容です。書いたのは作者で、私たちではありません。プレーンテキストとして表示しています。
search_legislationWhen calculated_current is present, use its text_ar for current monetary amounts and cite its authority.url. Identify this as calculated under the authority, never as verbatim published wording. The article text_ar and source fields remain published wording. Search Lebanese legis
get_lawGet a law, decree or similar text's metadata (kind, number, date, status), its table of contents (the chapters: id, parent_id, depth, heading), its articles in order (number, and the section_id of the chapter each sits under) and the texts it amended or was amended by (amended_by
get_articleWhen calculated_current is present, use its text_ar for current monetary amounts and cite its authority.url. Identify this as calculated under the authority, never as verbatim published wording. The article text_ar and source fields remain published wording. Get one article's ver
get_law_textsWhen calculated_current is present, use its text_ar for current monetary amounts and cite its authority.url. Identify this as calculated under the authority, never as verbatim published wording. The article text_ar and source fields remain published wording. Get the verbatim text
get_rulingGet one court ruling (judgment) by id: court, number, date, panel, and its verbatim text when the Centre holds it as typed text. When available, pages returns the scanned judgment's machine reading, with low_confidence: true on hard-to-read pages where errors are expected. pdf_ur
get_gazette_issueGet one Official Gazette issue by id: its number, publication date, and the laws, decrees and decisions it published. Not legal advice.
get_linksGet the graph edges into or out of one item: a law, an article, a ruling, an opinion, a research study or a Gazette issue. Use this to walk citations and amendments directly, instead of only what get_law and get_article attach automatically. For a law key ("law/ ") the default sc
list_legislationList laws, decrees and decisions by date, newest first: for "everything published since January 2025" call with since "2025-01". The date is the publication date: the Official Gazette date, else the issue date (each entry's date, with gazette_number, gazette_date and gazette_issu
list_gazette_issuesList Official Gazette issues by publication date, newest first, with the number of texts each carries (text_count) and where the issue comes from: source "centre" (the Lebanese University's Centre, whose issues stop about a year back) or "scans" (issues seen in Gazette scans, ids
possibly_affectedGet the general repeals that may touch a law: earlier texts with a "all provisions contrary to this law are repealed" clause pointing at it. A list to check, never a finding that anything was actually repealed. Not legal advice.
誰でも見られる情報をチェックしており、コードは読んでいません。当てはまらない項目は数に入れていません。 · 2026年11月8日にチェック
レジストリ名はドメイン lebaneselegislation.com で確認済みです(レジストリがドメインの所有を確認しています)
このリポジトリはまだGitHubから読み取っていません
このリポジトリはまだGitHubから読み取っていません
597ミリ秒で応答(HTTP 200)
サインイン不要
10件のツールの説明を読み、AIへの隠れた指示は見つかりませんでした
レジストリでこのカテゴリにある有効なすべてのサーバーと比較しています。スターは、公開者がリポジトリの所有者である場合だけ数えます。
当てはまる基本チェック3項目のうち3項目に合格しました。コードは読んでいません。キーやトークンを追加する前に、サーバーがどんなアクセスを求めているかを確認し、必要な権限だけを持つキーを使ってください。
レジストリには必須のキーは載っていません。ただし、最初に使うときにサインインを求めるサーバーもあります。
作者のクラウドで動きます。インストール不要でインターネット経由でつながりますが、送った内容は作者のサーバーを通ります。
GitHubリポジトリの最終更新は–、最新バージョン(2.0.0)がレジストリに届いたのは一昨日です。
Claude Desktop、Claude Code、Cursor、VS CodeなどのMCP対応アプリで使えます。URLでつながるので、リモートMCPサーバーに対応したアプリ(開発者モードのChatGPTなど)でも使えます。
同じカテゴリには:sanctions.io MCP by usefulapi, Worldbank MCP, Uk Parliament MCP
同じカテゴリで、ほかの作者が作ったサーバー。スターの多い順。
カードの見方:↓ 週あたりのダウンロードi★ GitHubスターi3つの柱:レビュー · チェック · 利用状況i更新=最新バージョンをレジストリに公開した日i
Screen names against sanctions, PEP and watchlists; list screening sources in sanctions.io.
UK Parliament open data: find MPs and Lords, read member profiles, and search bills with their
作者のリポジトリから書かれたとおりにコピーしたものです。PopNx MCPは内容を確認・推奨していません。HTML、画像、スクリプトは取り除いています。リンクはこのサイトの外へ移動します。
Lebanese Legislation
Every Lebanese law, one search away.
The open code and data behind LebaneseLegislation.com : laws, decrees, court rulings and the Official Gazette, in Arabic and French, with search, a JSON API and an MCP server for AI assistants.
التشريع اللبناني: القوانين والمراسيم والأحكام القضائية والجريدة الرسمية، بالعربية والفرنسية، كبيانات مفتوحة وواجهة برمجية وخادم MCP لمساعدي الذكاء الاصطناعي.
Website · AI and MCP · API · Data on Hugging Face · Journal · Students
The texts of Lebanese law are public, but hard to read online. LebaneseLegislation.com puts every law, decree, ruling and Gazette issue on its own page, links each article to the texts that amend it and the rulings that apply it, and gives developers and AI assistants the same data through an API, an MCP server and open downloads. Every page links back to its source at the Lebanese University's Centre for Research and Studies in Legal Informatics.
Read and search at lebaneselegislation.com. Questions get a short answer written only from the library's own texts, with a link to each source.
Connect your AI assistant. The MCP server is free, needs no key, and returns the texts word for word:
claude mcp add --transport http lebanese-legislation https://lebaneselegislation.com/mcp
Claude, ChatGPT, Cursor and Gemini setup: lebaneselegislation.com/ai and docs/mcp.md.
Call the API. No key, JSON, described by /openapi.json:
curl -G 'https://lebaneselegislation.com/api/v1/search/' --data-urlencode 'q=قانون العمل'
Load the data. One Parquet file per table on Hugging Face:
from datasets import load_dataset
articles = load_dataset("taktekhq/lebanese-legislation", "legislation_article", split="train")
Run the whole site yourself. One image holds the database, the website, the API and the MCP server:
git clone https://github.com/taktekhq/lebanese-legislation.git && cd lebanese-legislation
./setup && docker compose --profile all up -d all # then open http://localhost:8080
| You want | Go to |
|---|---|
| Read the laws | LebaneseLegislation.com |
| Connect an AI assistant | The free MCP server at https://lebaneselegislation.com/mcp. Setup |
| The data as tables | Parquet files on Hugging Face |
| The data as a PostgreSQL database | The -db or -all image, with the databases baked from data/ |
| Semantic search vectors | vectors/vectors.parquet, embedded with gemini-embedding-001 in 768 dimensions. Read with DuckDB |
| The original court scans | Court scans on Hugging Face |
| Every source page as it was served | Archive dataset on Hugging Face and its repository |
| What changed and why | The project journal and docs/changes.md |
| Get paid to study with it (students in Lebanon) | The student program |
Data lives on Hugging Face. Code and Docker images live here. Each GitHub release is a code version, never a data download.
flowchart LR
UL[Lebanese University source pages] -->|scraper| A[archive/] A -->|build-db| D[data/ tables as text] D -->|data workflow| HF[Hugging Face Parquet + vectors] D -->|static-site workflow| R2[(Cloudflare R2 static pages)] D -->|data workflow| IMG[-db and -all images] IMG -->|origin workflow| C[Cloudflare Container PostgreSQL + Go server] R2 --> W{Worker} C --> W W --> U[Readers, AI assistants, API clients]
Cloudflare serves the static pages and ruling PDFs from R2 through the Worker in workers/static-site. Search, /api/v1/, filters, scans and /mcp go through workers/origin to a blue/green Cloudflare Container running the -all image. static-site.yml renders data/ with cmd/static-export, only the pages that changed: a data change renders the pages its rows touch, a template, string or topic guide change the pages that used it, and a Go change every page. It starts on every push to main that touches the site, and a catch-up check after each deploy reruns a failed one. Changed pages go to IndexNow. vectors.yml embeds new passages, publishes the vectors and loads Cloudflare Vectorize. See architecture and static export.
AI crawlers are welcome. robots.txt lets every named AI crawler (GPTBot, ClaudeBot, PerplexityBot, ShapBot and others) read the pages, search, the API and the MCP server. Every client gets the same limit on dynamic paths: 30 requests per 10 seconds from one address.
Run scripts/nightly.sh on your own machine to scrape, rebuild, check and export the data, then open a data-only pull request. Use --dry-run to do the work locally without pushing or opening a PR. GitHub Actions cannot run it.
You need Bash, flock, Git, rsync, curl, Python 3, Go, PostgreSQL and an authenticated GitHub CLI. Set LEBLEG_DSN to a dedicated rebuild database; LEBLEG_STORE, LEBLEG_DATA and LEBLEG_LOCK_FILE override local paths. LEBLEG_REPO selects the target repository. Maintainers merge the PR, then the workflows publish everything. See Update the data for requirements, every step, configuration and a nightly user systemd timer.
The same image, ghcr.io/taktekhq/lebanese-legislation-all, runs in both. It holds PostgreSQL with the data, the API (/api/v1/), the MCP server (/mcp) and the website server.
| Production | Development | |
|---|---|---|
| Static pages | built by static-site.yml into Cloudflare R2, served by the Worker in workers/static-site | rendered on request by the -all image |
| API, MCP, search | the Worker passes them to -all (Cloudflare Containers, blue/green, workers/origin) | -all directly |
| Run it | origin.yml deploys it | docker compose --profile all up all, then open http://localhost:8080 |
In development every page is rendered on request, which is slower than production but needs nothing besides the image. To get the exact static copy production serves, run static-export against the database: see docs/static-export.md.
git clone https://github.com/taktekhq/lebanese-legislation.git
cd lebanese-legislation ./setup docker compose --profile all up -d all
You need Docker Compose, 8 GB of free memory and 30 GB of free disk. ./setup writes private local passwords to .env. The image already holds both databases. The first start copies them into an empty volume; later starts reuse it.
Then open the website at http://localhost:8080, the API at http://localhost:8080/api/v1/, or point an MCP client at http://localhost:8080/mcp.
To run the database, API and MCP as separate services instead, use docker compose up -d --wait db api mcp: the API answers on http://localhost:8000/api/v1/ and MCP on http://localhost:8001/mcp. Every image is pulled as :latest, so a docker compose pull is all an update needs. Exact and citation search need no AI key. For search by meaning, configure your own Gemini key and Vectorize index, or load the public vectors into pgvector in lebleg_search. See loading vectors.
All names use the prefix ghcr.io/taktekhq/lebanese-legislation.
| Image | Holds | Used by |
|---|---|---|
-db | PostgreSQL 18.6, pgvector, both databases baked from data/, chunk text and hashes without embeddings | Compose, database users, the static render and the base of -all |
-api | Standalone API server, unchanged Dockerfile and amd64/arm64 support | Compose and API users with a separate database |
-mcp | Standalone MCP server, unchanged Dockerfile and amd64/arm64 support | Compose and MCP clients with a separate database |
-all | -db plus the Go server for dynamic pages, /api/v1/, /mcp and badges | Compose, Cloudflare Containers and self-hosted sites |
-vectors | vectorize-sync, export-vectors and DuckDB; downloads the Hugging Face vectors at runtime | The vectors workflow and users loading Vectorize or pgvector |
Each image is built by the workflow that produces its inputs: the checks workflow publishes -api, -mcp and -all after a push to main, data publishes -db and -all after a data change, and vectors publishes -vectors. images.yml is a manual button to rebuild one. Every image gets a latest tag and a UTC date tag, so use :latest unless you need a fixed copy. Static pages are published directly to R2. Publishin
冒頭だけを表示しています。続きはリポジトリで読めます