MCP server
FIDE Laws of Chess
io.arxo/fide-chess
Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools
FIDE Laws of Chess (2023) as an executable model: arbiter cases, answers with rules and judgments
Working at last checkVerified publisher: arxo.ioAbout 8,638 tokens per request once connected16 tools
https://mcp.arxo.io/mcp/fide-chess
At a glance
- Type
- MCP server
- Publisher
- arxo.io (verified by the MCP Registry)
- Status
- Working at last check
- Tools
- 16
- Token cost
- About 8,638 tokens per request
- Sets up in
- Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok
- Last checked
- 26 Oct 2026, 08:29 UTC
Connect it to your agent
Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.
Claude Code
claude mcp add --transport http fide-chess https://mcp.arxo.io/mcp/fide-chess
Claude Desktop
Settings → Connectors → Add custom connector, and paste the URL.
Codex (config.toml)
[mcp_servers.fide-chess] url = "https://mcp.arxo.io/mcp/fide-chess"
Gemini CLI
{"mcpServers":{"fide-chess":{"httpUrl":"https://mcp.arxo.io/mcp/fide-chess"}}}
Cursor
{"mcpServers":{"fide-chess":{"url":"https://mcp.arxo.io/mcp/fide-chess"}}}
VS Code
{"servers":{"fide-chess":{"type":"http","url":"https://mcp.arxo.io/mcp/fide-chess"}}}
Antigravity
agy mcp add fide-chess https://mcp.arxo.io/mcp/fide-chess
ChatGPT
Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.
OpenAI API (Responses tools)
{"type":"mcp","server_label":"fide-chess","server_url":"https://mcp.arxo.io/mcp/fide-chess","require_approval":"always"}
Grok (xAI API tools)
{"type":"mcp","server_label":"fide-chess","server_url":"https://mcp.arxo.io/mcp/fide-chess"}
Tools
law_ask~2130 tokens
Put 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_case_ask~648 tokens
The 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_inspect~554 tokens
Evaluation 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_prepare_answer~636 tokens
At 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_query~1058 tokens
A 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 --law_screen~386 tokens
Build 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_search~311 tokens
A 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 e
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