futbolatlas-mcp
MCP server over a cited knowledge graph on the Laws of the Game and world football competitions. Remote streamable-HTTP, 8 tools, no auth.
Documentation
Football Atlas — MCP server
> The Laws of the Game and world football's major competitions, every claim cited to primary sources
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://futbolatlas.app/mcpAlso listed on Smithery.
Add it to a client
Claude Code
claude mcp add --transport http futbol-atlas https://futbolatlas.app/mcpClaude Desktop / any client reading `mcpServers`
{
"mcpServers": {
"futbol-atlas": {
"type": "streamable-http",
"url": "https://futbolatlas.app/mcp"
}
}
}No API key, no account, no auth. Read-only.
Check it answers, without any client at all:
curl -s https://futbolatlas.app/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 | 141 |
|---|---|
| registered sources | 132 |
| published topics | 96 |
| type | objects |
|---|---|
| entity | 114 |
| glossary | 12 |
| faq | 7 |
| guide | 5 |
| comparison | 3 |
Subject matter: the seventeen Laws of the Game as the IFAB writes them, VAR protocol and its review categories, competition formats and qualification paths, offside, handball and the wording that decides them.
Questions it is built to answer
- *What exactly does Law 11 say about a player's position at the moment the ball is played?*
- *When may VAR intervene, and when is it forbidden to?*
- *How does a team qualify for the Champions League league phase?*
What an answer actually looks like
A real call against the live endpoint — `answer` with
*"when can VAR intervene"* — returns this `structuredContent`, trimmed:
{
"answered": true,
"entity": {
"id": "var",
"name": "VAR (Video Assistant Referee)",
"evidence_tier": "primary",
"confidence": 0.94,
"last_verified": "2026-08-08",
"canonical_url": "https://futbolatlas.app/k/var"
},
"claims": [
{
"text": "The VAR may assist the referee only for a clear and obvious error or a serious missed incident in these match-changing categories: goal/no goal, penalty/no penalty, direct red card, and mistaken identity when the referee cautions or sends off the wrong player of the offending team.",
"sources": [{ "title": "Video Assistant Referee (VAR) protocol (Laws of the Game 2026/27)" }]
}
]
}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
- `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, 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 futbolatlas.app.
Frequently asked questions
What is futbolatlas-mcp?
futbolatlas-mcp is MCP server over a cited knowledge graph on the Laws of the Game and world football competitions. Remote streamable-HTTP, 8 tools, no auth.
How do I install futbolatlas-mcp?
Open the GitHub repository and follow its README. Most MCP servers are added to your client's MCP config, then called by your agent.
Is futbolatlas-mcp open source?
Yes — it is hosted on GitHub at https://github.com/citarium/futbolatlas-mcp.
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