All servers · Government & law
FIDE Laws of Chess
io.arxo/fide-chess · v0.1.1
Has write/delete tools
Measured by MCP Station
| Last check | Reachable |
|---|---|
| Checked at | — |
| Check success 7 / 30 days | — |
| First-try success 30 days | — |
| Median response | — |
| Lookups 30 days | — |
| Authentication | No auth |
| MCP version | 2025-06-18 |
| Rank score | — |
| Declared risk | Has destructive tools (destructiveHint) |
| Capabilities declared | experimental, prompts, tools |
| Tool definitions | 16 tools · with description 100% · input schema is an object 100% · read/destructive hints 100% |
Description written by the publisher, not verified
FIDE Laws of Chess (2023) as an executable model: arbiter cases, answers with rules and judgments
Connect
streamable-http · https://mcp.arxo.io/mcp/fide-chess
claude mcp add --transport http fide-chess https://mcp.arxo.io/mcp/fide-chess{
"mcpServers": {
"fide-chess": {
"url": "https://mcp.arxo.io/mcp/fide-chess"
}
}
}Tools as reported by the server
law_searchA semantic SEARCH over formalised law: a question or a notion in your own words → candidates with addresses — predicates with signatures, rules, article fragments. This is the layer of DISCOVERY, not of the answer: the result says WHAT to ask next (law_ask by signature, law_rules, law_sources) and elaw_passportPassport of an exact release: purpose, interface, boundaries, checks and performance. The reports section holds the history of measurements, failures included. Entries are paged by JSON Pointer; next continues the answer.law_answer_capabilitiesA machine-readable matrix of the Lens producers that are actually installed, of replay/projection checks, profiles, limits and the contract tests that confirm them. declared_only means a schema with no executable witness.law_capture_answerRun a registered producer and obtain producerControl/0.2 for a later verifiable preparation of a Lens. The producer is chosen only from the shipped registry.law_prepare_answerAt the explicit request of the user, repeat between 1 and 12 earlier law_ask or law_process_run calls, compare their replayControl strictly, and prepare a non-public frozen document for 24 hours. The client never supplies the machine answer: the server obtains it only by executing afresh. A divergenlaw_publish_answerPublish a prepared document. Repeating it with the same preparationId idempotently returns the same URL and the same separate revocation secret.law_revoke_answerwrite/deleteRevoke a published document using its separate secret. The public id alone grants no control; revocation closes the HTML page, the API and the download.law_packagesThe catalogue of formalised law: instruments, predicates with signatures, the boundaries of coverage. This is where the NAMES of predicates come from — they must never be guessed. But do NOT start from the catalogue when looking for the right instrument: the overview is large, and the title of an inlaw_askPut a question to formalised law. When the answer is "not established" it carries whyNot — the engine's why_not report: the candidate rules and the state of every conjunct (satisfied / not satisfied / undetermined); the missing facts are visible there and need not be guessed. BEFORE THE FIRST call olaw_screenBuild a necessary condition — a superset — for the preliminary selection of rows from an external source. This is NOT a legal answer and NOT SQL: the result is a typed tree and a manifest of the extensions up to TRUE. Every row that passes must then be computed in full by the engine, with a proof grlaw_rulesThe rules of formalised law put into words: exactly how a predicate is derived (premises, source articles). Call this BEFORE supplying facts to law_ask — the rules say which facts are needed instead of leaving them to be guessed. For large instruments package=… returns a table of contents; the fulllaw_explainUnfold the proof of a law_ask answer into a chain "rule ← premises → conclusion". The compact input: question (the original law_ask arguments, truth/collect), resultHash and codeHash from the provenance of the answer. The server repeats the computation and compares the hashes; if anything changed itlaw_inspectEvaluation inspector over a SAVED evaluation document: summary — the origin card, resultHash and snapshot verification, listings of results, positions and issues; slice — the closure of proof nodes for a query, rule, position or node with addresses, both sides of BOTH, defeats, values, names resolvelaw_case_askThe ask operation: run a registered case of a case package over its pinned dependencies and return the answer: by default a projection of the evaluation document without the proof graph, on responseMode full or proof: true the canonical document with a proof and a manifest. The question is JSON perlaw_sourcesSources: by default short excerpts (view=summary), 5 texts per page, with the address of the full text in fragments[].full. Either package or fragment is required (a StableId from law_search/law_rules). view=full returns exact parts of the text: textRange sets a range of Unicode characters, fragmentlaw_queryA deterministic LawQL query over the CLIR of a formalization: a question about the model of the act itself, not about a case. Relations (14): anchors, edges, fields, imports, interpretations, labels, links, literals, nodes, norms, positions, rules, variables, windows. Full field lists: `law query --
Repository · Website · JSON · Text for agents · Registry updated 2026-10-14