Skip to main content
Glama
larksuite

Feishu/Lark OpenAPI MCP

Official
by larksuite
translation_v1.ts1.95 kB
import { z } from 'zod'; export type translationV1ToolName = 'translation.v1.text.detect' | 'translation.v1.text.translate'; export const translationV1TextDetect = { project: 'translation', name: 'translation.v1.text.detect', sdkName: 'translation.v1.text.detect', path: '/open-apis/translation/v1/text/detect', httpMethod: 'POST', description: '[Feishu/Lark]-AI-Machine Translation-Text language recognition-Machine translation (MT), supporting recognition of over 100 languages. The return value is ISO 639-1 compliant', accessTokens: ['tenant'], schema: { data: z.object({ text: z.string().describe('Text whose language is to be recognized') }), }, }; export const translationV1TextTranslate = { project: 'translation', name: 'translation.v1.text.translate', sdkName: 'translation.v1.text.translate', path: '/open-apis/translation/v1/text/translate', httpMethod: 'POST', description: '[Feishu/Lark]-AI-Machine Translation-Translate text-The following languages are supported for translation: "Zh": Chinese ; "Zh-Hant": Traditional Chinese ; "En": English; " Ja ": Japanese ; " Ru ": Russian ; " de ": German ; " Fr ": French ; "It": Italian ; " pl ": Polish ; " Th ": Thai ; "Hi": Hindi ; "Id": Indonesian ; " es ": Spanish ; " Pt ": Portuguese ; " Ko ": Korean ; " vi ": Vietnamese', accessTokens: ['tenant'], schema: { data: z.object({ source_language: z.string().describe('Source language'), text: z.string().describe('Source text, character limit is 1,000'), target_language: z.string().describe('Target language'), glossary: z .array(z.object({ from: z.string().describe('Associated text'), to: z.string().describe('Translation') })) .describe('Request level glossary with at most 128 terms, valid only in this translation') .optional(), }), }, }; export const translationV1Tools = [translationV1TextDetect, translationV1TextTranslate];

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/larksuite/lark-openapi-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server