Server data from the Official MCP Registry
Spain's contributions to world science, exploration and culture, rigorously sourced
About
Spain's contributions to world science, exploration and culture, rigorously sourced
Remote endpoints: streamable-http: https://hispanic-legacy.com/mcp?via=manifest
Security Report
Valid MCP server (1 strong, 1 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry.
8 tools verified · Open access · No issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
How to Connect
Remote Plugin
No local installation needed. Your AI client connects to the remote endpoint directly.
Add this to your MCP configuration to connect:
{
"mcpServers": {
"com-hispanic-legacy-hispanic-legacy": {
"url": "https://hispanic-legacy.com/mcp?via=manifest"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
Hispanic Legacy — MCP server
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
Add it to a client
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"}'
Tools
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.
What is in the corpus
| knowledge objects | 307 |
| registered sources | 403 |
| published topics | 301 |
| type | objects |
|---|---|
| entity | 287 |
| 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.
Questions it is built to answer
- How was the smallpox vaccine actually carried across the Atlantic in 1803?
- What did the Casa de Contratación do with the charts it collected?
- Which claims about the Black Legend rest on primary sources, and which do not?
What an answer actually looks like
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.
Machine-readable surfaces
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.
Behaviour worth knowing before you integrate
POSTonly. Every other method answers405with anAllow: POST, OPTIONSheader.- Rate limit: 120 requests per minute per client, counted in a shared
store, published on every response as
RateLimit-Limit,RateLimit-RemainingandRateLimit-Reset(all three exposed via CORS). It fails open: if the store is unreachable the request is served. - Malformed input gets a spec-correct JSON-RPC error —
-32700for unparseable bodies,-32602for an unknown tool — never an HTML error page. - Request bodies are capped and validated before transport.
Privacy
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.
Provenance and licence
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.
How it is built
Compiled and served by Citarium, an open-source 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, with the guardians and the falsification record in the open.
This repository is the server's public face: its manifest and its documentation. The corpus itself lives at hispanic-legacy.com.
Reviews
No reviews yet
Be the first to review this server!
More Developer Tools MCP Servers
Fetch
Freeby Modelcontextprotocol · Developer Tools
Web content fetching and conversion for efficient LLM usage
Git
Freeby Modelcontextprotocol · Developer Tools
Read, search, and manipulate Git repositories programmatically
Toleno
Freeby Toleno · Developer Tools
Toleno Network MCP Server — Manage your Toleno mining account with Claude AI using natural language.
mcp-creator-python
Freeby mcp-marketplace · Developer Tools
Create, build, and publish Python MCP servers to PyPI — conversationally.
MCP Marketplace
Freeby mcp-marketplace · Developer Tools
Search and install MCP servers from inside your AI client.
MarkItDown
Freeby Microsoft · Content & Media
Convert files (PDF, Word, Excel, images, audio) to Markdown for LLM consumption
