World Monitor
Real-time global intelligence on conflict, markets, energy, trade, shipping and cyber. 102 tools.
作者による説明(英語の原文)
Spain's contributions to world science, exploration and culture, rigorously sourced
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://hispanic-legacy.com/mcp?via=manifestターミナルでこれを実行します
claude mcp add --transport http hispanic-legacy 'https://hispanic-legacy.com/mcp?via=manifest'プロジェクトの .cursor/mcp.json、または ~/.cursor/mcp.json に貼り付けます
{
"mcpServers": {
"hispanic-legacy": {
"url": "https://hispanic-legacy.com/mcp?via=manifest"
}
}
}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": {
"hispanic-legacy": {
"type": "http",
"url": "https://hispanic-legacy.com/mcp?via=manifest"
}
}
}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://hispanic-legacy.com/mcp?via=manifest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。
このサーバーのつなぎ方と、各アプリの公式ドキュメントに基づきます。2026年11月10日に確認。
インターネット経由でつなげるアプリ
ClaudeChatGPTGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatOpen WebUIRaycast
ツールの名前と説明は、サーバーが2026年11月10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。
searchFull-text search over the knowledge graph. Matching ignores accents and apostrophes, so query in the user's own words; every hit carries the fields it matched and a score. BM25 relevance: each query term is weighted by how RARE it is in this corpus and by where it hits (name 3, t
get_entityFetch one knowledge object by id, with its claims and the sources each claim cites. Use this once search, answer or get_topic has given you an id. An unknown id is not a dead end: the answer names near-miss ids you can retry with.
get_topicList the knowledge objects carrying a tag (topics are content-backed tags). PAGED: 25 objects by default, 200 at most, and a response budget of about 64 KB per call — a page over budget comes back shorter WITH a next_cursor, never truncated. Read next_cursor and call again to con
answerAnswer a question from the corpus, or refuse. Returns only the claims that bear on the question, each with the sources it cites and its editorial confidence. When the corpus cannot answer, answered is false and abstention_reason plus missing_topics say what was not covered — a re
get_sourcesThe instance's source registry — each entry with its evidence tier, reliability and access date. PAGED: 25 entries by default, 200 at most, and a response budget of about 64 KB per call — a page over budget comes back shorter WITH a next_cursor, never truncated. Read next_cursor
get_relatedGraph neighbours of an object: outgoing and incoming relations, each with its relation type. PAGED: 25 relations by default, 200 at most, and a response budget of about 64 KB per call — a page over budget comes back shorter WITH a next_cursor, never truncated. One cursor walks bo
get_latestMost recently verified knowledge objects (freshness signal). Use this to judge how current the corpus is, or to see what changed since you last read it. It ranks by verification date and ignores your topic entirely — use search or get_topic when you want objects that are relevant
get_overviewCorpus overview: what this instance knows, counts by type, published tags, freshness. Use this first when you land here and do not yet know whether this corpus can answer your question.
compareTwo to six knowledge objects side by side: their cards, every indexed attribute as a matrix (the same fields api/index.json publishes, null where an object does not say), the tags they share, the relations that run between them, the neighbours they have in common, and each one's
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10日にチェック
レジストリ名はドメイン hispanic-legacy.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)
コードの最終更新:2 か月前
このリポジトリはまだGitHubから読み取っていません
2378ミリ秒で応答(HTTP 200)
サインイン不要
9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4項目のうち4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2 か月前、最新バージョン(0.6.14)がレジストリに届いたのは3 か月前です。
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:World Monitor, Claude Flow, Tldraw
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
Real-time global intelligence on conflict, markets, energy, trade, shipping and cyber. 102 tools.
AI orchestration with hive-mind swarms, neural networks, and 87 MCP tools for enterprise dev.
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。
Spain's contributions to world science, exploration and culture, rigorously sourced
A remote MCP server over a curated knowledge graph. Every claim it returns is bound to a registered source: the tools hand back claims *with* their citations and a confidence value, so an agent can show its work instead of asserting.
Nothing to install. It is a hosted streamable-HTTP endpoint:
https://hispanic-legacy.com/mcp
Also listed on Smithery.
Claude Code
claude mcp add --transport http hispanic-legacy https://hispanic-legacy.com/mcp
Claude Desktop / any client reading `mcpServers`
{
"mcpServers": { "hispanic-legacy": { "type": "streamable-http", "url": "https://hispanic-legacy.com/mcp" } } }
No API key, no account, no auth. Read-only.
Check it answers, without any client at all:
curl -s https://hispanic-legacy.com/mcp \
-H 'Content-Type: application/json' \ -H 'Accept: application/json, text/event-stream' \ -H 'mcp-protocol-version: 2025-06-18' \ -d '{"jsonrpc":"2.0","id":1,"method":"tools/list"}'
Eight, each with an outputSchema, each returning structuredContent.
| tool | arguments | what it does |
|---|---|---|
get_overview | — | Corpus overview: what this instance knows, counts by type, published tags, freshness. Start here when you land and do not yet know whether this corpus can answer your question. |
search | query, limit? | Full-text search over the knowledge graph. Accent- and apostrophe-insensitive, so query in the user's own words; every hit carries its relevance score and the fields it matched. |
answer | question | Answer a question from the corpus. Returns the matched object's claims with sources and confidence — never an unsourced answer. |
get_entity | id | Fetch one knowledge object by id, with its claims and the sources each claim cites. |
get_topic | tag | List the knowledge objects carrying a tag (topics are content-backed tags). |
get_related | id | Graph neighbours of an object: outgoing and incoming relations, each with its relation type. |
get_sources | object_id? | The whole source registry, or just the sources cited by one object. Use it to judge the corpus before trusting it. |
get_latest | limit? | Most recently verified knowledge objects — a freshness signal. |
The intended path is get_overview → search or answer → get_entity → get_related. get_overview exists because an agent that has just arrived needs to know whether this corpus can help *before* it spends a call guessing.
| knowledge objects | 701 |
| registered sources | 816 |
| published topics | 534 |
| type | objects |
|---|---|
| entity | 681 |
| comparison | 11 |
| guide | 5 |
| glossary | 3 |
| faq | 1 |
Subject matter: the Balmis expedition and early public health, cartography and navigation, botany and the American expeditions, mining and metallurgy, universities and archives, and the historiography of the Black Legend — evidence, not polemic.
A real call against the live endpoint — answer with *"how was the smallpox vaccine carried across the Atlantic"* — returns this structuredContent, trimmed:
{
"answered": true, "entity": { "id": "keeping-the-vaccine-alive-in-spanish-america", "name": "Keeping the vaccine alive: vaccine boards, conservators and human reservoirs in Spanish America, 1805-1815", "evidence_tier": "secondary", "confidence": 0.8, "last_verified": "2026-08-12", "canonical_url": "https://hispanic-legacy.com/k/keeping-the-vaccine-alive-in-spanish-america" }, "claims": [ { "text": "A colonial vaccine board published its own numbers, and they survive in print. The Semanario of Bogotá carried in 1808 a \"Noticia del número de personas que se han vacunado en esta capital…\"", "sources": [{ "title": "Semanario de la Nueva Granada, publicada por una sociedad de patriotas Granadinos, bajo la dirección de Francisco José de Caldas" }] } ] }
Note what travels with the answer: the evidence tier, a confidence, the date it was last verified, and the source behind the claim — not as prose an agent has to parse, but as fields it can act on. An agent can decline to use a weak claim, or cite the primary source directly.
When the corpus cannot answer, answered is false. It does not improvise, and the miss is recorded so the gap can be filled.
The MCP endpoint is one of several. The same corpus is served as plain files an agent can read directly:
| surface | what it is |
|---|---|
/llms.txt | the index, as text/plain |
/llms-full.txt | the whole corpus in one file |
/ai-index.json | every surface this instance publishes, with its content type |
/api/index.json | one JSON document per knowledge object |
/api/sources.json | the source registry, in full |
/.well-known/mcp/server.json | this server's manifest |
Each knowledge object has a human page and a machine twin at the same id, with a canonical URL that agrees across all of them.
405 with an Allow: POST, OPTIONS header.RateLimit-Limit, RateLimit-Remaining and RateLimit-Reset (all three exposed via CORS). It fails open: if the store is unreachable the request is served.-32700 for unparseable bodies, -32602 for an unknown tool — never an HTML error page.No accounts, no cookies, no ads. Usage is measured in aggregate with daily-rotating hashed identifiers and a 200-day retention; raw IPs are never stored. Full policy: PRIVACY.md.
Knowledge content is CC-BY-4.0: use it, cite it. The source registry is public precisely so a claim can be checked rather than trusted — get_sources returns what any given claim rests on.
Claims carry an evidence tier and a last_verified date. Where the evidence is weaker, the object says so rather than rounding up.
Compiled and served by Citarium, a source-available framework for turning a knowledge graph into a website, an API, an MCP server and agent-readable files from a single source, under external evaluation.
The framework's code is licensed under the Business Source License 1.1 and its repository is not public. What is public — and what actually matters for trusting an answer — is this server, the corpus it serves, and the registered source behind every claim: get_sources returns what any given claim rests on, so it can be checked rather than trusted.
This repository is the server's public face: its manifest and its documentation. The corpus itself lives at hispanic-legacy.com.