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"}'

Related MCP server: Ek-Chuah MCP

Tools

Eight, each with an outputSchema, each returning structuredContent.

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

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:

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

• POST only. Every other method answers 405 with an Allow: POST, OPTIONS header.

• Rate limit: 120 requests per minute per client, counted in a shared store, published on every response as RateLimit-Limit, RateLimit-Remaining and RateLimit-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 — -32700 for unparseable bodies, -32602 for 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.