World Monitor
Real-time global intelligence on conflict, markets, energy, trade, shipping and cyber. 104 tools.
Spain's contributions to world science, exploration and culture, rigorously sourced
选择你使用的 AI 应用,然后复制设置。
通过 5/5 项检查 · 你的提问会经过开发者的服务器(hispanic-legacy.com)
第一步:你用哪个 AI?
选择你用的应用,步骤会显示在下方。
可连接 Claude · 约 2 分钟
不需要密钥,不用安装程序 · 在 claude.ai 或桌面应用设置一次,即可在聊天中使用 · 免费账户可添加 1 个 · Team/Enterprise 方案由所有者(Owner)添加
CustomizeConnectors
把这里的内容复制到 Claude 中同名的输入框,然后点击 Continue
正在检查命令 · 通过后才会显示复制按钮
正在检查命令 · 通过后才会显示复制按钮
Authentication 保持 Claude 检测到的设置,然后点击 Add
+ConnectorsHispanic Legacy
用 Hispanic Legacy 告诉我你能帮我做什么,然后做一件给我看✓ 如果 Claude 说正在使用 Hispanic Legacy,或回答中出现 Hispanic Legacy 的工具名称,就表示连接成功
菜单名称已于 2026年11月11日 对照 Anthropic 帮助页面核实 · 你的界面可能因版本略有不同
能否连接 ChatGPT 取决于方案
完整 MCP:网页版 ChatGPT Business、Enterprise 或 Edu · Pro:以读取/获取权限连接,修改数据的工具可能用不了 · Plus:官方文档尚未确认,如果在插件页看到添加自定义 MCP 的选项可以试试 · 仅限网页
Plugins+Add custom MCP server
输入名称,在 Connection 下粘贴地址,勾选风险提示,然后点击 Create as a plugin
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开启新聊天,输入前先从插件列表中选择 Hispanic Legacy
用 Hispanic Legacy 告诉我你能帮我做什么,然后做一件给我看✓ 如果 ChatGPT 说正在使用 Hispanic Legacy,或回答中出现 Hispanic Legacy 的工具名称,就表示连接成功
菜单名称已于 2026年11月11日 对照 OpenAI 帮助页面核实 · 你的界面可能因版本略有不同
可连接 Claude Code · 约 2 分钟
不需要密钥,不用安装程序
Mac:按 Command+空格,输入 Terminal · Windows:打开 PowerShell
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应能看到 Hispanic Legacy 在列表中并显示已连接
用 Hispanic Legacy 告诉我你能帮我做什么,然后做一件给我看✓ 如果 Claude Code 说正在使用 Hispanic Legacy,或回答中出现 Hispanic Legacy 的工具名称,就表示连接成功
菜单名称已于 2026年11月11日 对照 Anthropic 帮助页面核实 · 你的界面可能因版本略有不同
可连接 Cursor · 约 2 分钟
不需要密钥,不用安装程序
正在检查命令 · 通过后才会显示复制按钮
用 Hispanic Legacy 告诉我你能帮我做什么,然后做一件给我看✓ 如果 Cursor 说正在使用 Hispanic Legacy,或回答中出现 Hispanic Legacy 的工具名称,就表示连接成功
菜单名称已于 2026年11月11日 对照 Cursor 帮助页面核实 · 你的界面可能因版本略有不同
可连接 VS Code · 约 2 分钟
不需要密钥,不用安装程序
正在检查命令 · 通过后才会显示复制按钮
用 Hispanic Legacy 告诉我你能帮我做什么,然后做一件给我看✓ 如果 VS Code 说正在使用 Hispanic Legacy,或回答中出现 Hispanic Legacy 的工具名称,就表示连接成功
菜单名称已于 2026年11月11日 对照 VS Code 帮助页面核实 · 你的界面可能因版本略有不同
其他支持 MCP 的应用(如 Windsurf、Zed、Gemini CLI)添加方式各不相同,请在应用列表中查看
通过网页连接的应用使用的地址
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JSON 设置在下方“开发者专用”中
Claude Code
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Cursor (~/.cursor/mcp.json)
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VS Code (mcp.json)
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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。
依据这个服务器的连接方式和各应用自己的文档,检查于 2026年11月10日。
通过互联网连接,适用于
ClaudeChatGPTGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatOpen WebUIRaycast
工具名称和描述与服务器在 2026年11月10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。
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
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13日
提问、分享技巧或报告无法使用。按“有帮助”数量排序。
还没有评价
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 5 项适用的基础检查中通过了 5 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2个月前,最新版本(0.6.14)于3个月前进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。它通过 URL 连接,因此也能用于接受远程 MCP 的应用,例如网页版 ChatGPT(Business 及以上为完整 MCP;Pro 为只读)。
同一分类中有:World Monitor, Claude Flow, Windmill
同一分类中其他作者的服务器,按星标数排序。
如何看卡片:↓ 每周下载量i★ 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
Real-time global intelligence on conflict, markets, energy, trade, shipping and cyber. 104 tools.
AI orchestration with hive-mind swarms, neural networks, and 87 MCP tools for enterprise dev.
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。
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.