Endpoints: 28,729MCP servers: 18,413Payout addresses: 2,071Paid calls: 1,539Letters: 14Defects: 1,323counted 2 min ago
teppi

Server definition

Hash
sha256:3dd5f6cd357b84d6fed9dc33e3d99320fac9ba26238a5c941b56603b08c0f955
What it is
What a remote MCP server returned when asked what it offers: 5 tools

The blob, as servednamed by its sha256

{ "instructions": "Shirabe exposes Japan-specific APIs (calendar lookup, address normalization, Japanese name splitting, and corporate-number lookup/search) for AI agents; a cross-identifier enrich tool is added as it goes live. Call tools/list to see available tools.", "tools": [ { "description": "Look up a Japanese company by its 13-digit corporate number (法人番号) against the National Tax Agency (NTA) corporate-number registry. Returns the registered trade name, head-office address, change history and other public fields as JSON, plus mandatory NTA attribution. Useful when an AI agent already has a corporate number and needs canonical company facts (e.g. validating or enriching a B2B record). To go the other way (company name → number), use corporation_search. Source: Shirabe Corporation API.", "inputSchema": { "additionalProperties": false, "properties": { "law_id": { "description": "A 13-digit Japanese corporate number (法人番号), e.g. 1234567890123.", "type": "string" } }, "required": [ "law_id" ], "type": "object" }, "name": "corporation_lookup", "outputSchema": null }, { "description": "Search the Japanese corporate-number registry (National Tax Agency) by company name and return matching companies, each with its 13-digit corporate number (法人番号), registered name and address, plus mandatory NTA attribution. Handles trade-name variants (㈱ / (株) / 株式会社) via normalization. Useful when an AI agent has a company name and needs to resolve its corporate number / canonical record. To go the other way (number → company), use corporation_lookup. Source: Shirabe Corporation API.", "inputSchema": { "additionalProperties": false, "properties": { "name": { "description": "A Japanese company name, e.g. 株式会社テックウェル (variants like ㈱テックウェル are accepted).", "type": "string" } }, "required": [ "name" ], "type": "object" }, "name": "corporation_search", "outputSchema": null }, { "description": "Look up Japanese calendar information for a given date: Rokuyo (six-day cycle such as Taian/Butsumetsu), Rekichu (almanac notes), Eto (sexagenary cycle), 24 solar terms, and purpose-based auspiciousness scores. Useful when an AI agent needs canonical Japanese calendar facts (e.g. choosing an auspicious date for a wedding or ceremony). Source: Shirabe Calendar API (shirabe.dev).", "inputSchema": { "additionalProperties": false, "properties": { "categories": { "description": "Optional purpose categories to score (e.g. marriage, funeral, groundbreaking). Omit to return all available categories.", "items": { "type": "string" }, "type": "array" }, "date": { "description": "Target date in YYYY-MM-DD (between 1873-01-01 and 2100-12-31).", "type": "string" } }, "required": [ "date" ], "type": "object" }, "name": "lookup_calendar", "outputSchema": null }, { "description": "Normalize a free-form Japanese address against the official Address Base Registry (ABR, all 47 prefectures). Returns the canonical form, structured components (prefecture/city/town/block/building), postal code, WGS84 coordinates, match level (0-4) and confidence, plus mandatory CC BY 4.0 attribution. Useful when an AI agent must clean or de-duplicate Japanese B2B/customer records. Source: Shirabe Address API.", "inputSchema": { "additionalProperties": false, "properties": { "address": { "description": "A raw Japanese address string (may include postal code, building, floor).", "type": "string" } }, "required": [ "address" ], "type": "object" }, "name": "normalize_japanese_address", "outputSchema": null }, { "description": "Split a Japanese personal name into family and given parts using IPAdic person-name POS tags (with whitespace/length heuristics as fallback). Returns family, given, and a confidence score (0-1; warning when low). Useful for normalizing name fields in HR, CRM, or form data. Source: Shirabe Text API.", "inputSchema": { "additionalProperties": false, "properties": { "name": { "description": "A Japanese personal name, e.g. 山田良介.", "type": "string" } }, "required": [ "name" ], "type": "object" }, "name": "split_japanese_name", "outputSchema": null } ] }
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