Skip to main content
Glama

mcp-google-sheets

schemas.ts3.06 kB
import z from 'zod'; export const askQuestion = { teamId: z.string(), botId: z.string(), question: z.string(), metadata: z.object({}).optional(), context_items: z.number().min(1).optional(), human_escalation: z.boolean().optional(), followup_rating: z.boolean().optional(), document_retriever: z.boolean().optional(), full_source: z.boolean().optional(), autocut: z.number().optional(), testing: z.boolean().optional(), image_urls: z.array(z.string().url()).optional(), model: z.string().optional(), default_language: z.string().optional(), reasoning_effort: z.enum(['minimal', 'low', 'medium', 'high']).optional(), }; export const createSource = z .object({ type: z.enum([ 'url', 'document', 'sitemap', 'wp', 'urls', 'csv', 'rss', 'qa', 'youtube', ]), title: z.string().optional(), url: z.string().url().optional(), file: z.string().optional(), faqs: z .array( z.object({ question: z.string(), answer: z.string(), }) ) .optional(), scheduleInterval: z.enum(['daily', 'weekly', 'monthly', 'none']).optional(), }) .superRefine((data, ctx) => { if (data.type === 'document' && (!data.title || data.title.trim() === '')) { ctx.addIssue({ code: z.ZodIssueCode.custom, path: ['title'], message: '"title" is required when type is "document".', }); } if ( ['url', 'sitemap', 'youtube', 'rss'].includes(data.type) && (!data.url || data.url.trim() === '') ) { ctx.addIssue({ code: z.ZodIssueCode.custom, path: ['url'], message: '"url" is required when type is "url", "sitemap", "youtube", or "rss".', }); } if ( ['urls', 'csv', 'document', 'wp'].includes(data.type) && (!data.file || data.file.trim() === '') ) { ctx.addIssue({ code: z.ZodIssueCode.custom, path: ['file'], message: '"file" is required when type is "urls", "csv", "document", or "wp".', }); } if (data.type === 'qa' && (!data.faqs || data.faqs.length === 0)) { ctx.addIssue({ code: z.ZodIssueCode.custom, path: ['faqs'], message: '"faqs" is required when type is "qa".', }); } }); export const uploadSourceFile = { teamId: z.string(), botId: z.string(), file: z.object({ filename: z.string(), data: z.instanceof(Buffer), extension: z.string().optional(), }), }; export const createBot = { teamId: z.string(), name: z.string(), description: z.string(), privacy: z.enum(['public', 'private']), language: z.enum(['en', 'jp']), model: z.string().optional(), embeddingModel: z .enum([ 'text-embedding-ada-002', 'text-embedding-3-large', 'text-embedding-3-small', 'embed-multilingual-v3.0', 'embed-v4.0', ]) .optional(), copyFrom: z.string().optional(), }; export const findBot = { teamId: z.string(), name: z.string(), };

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/activepieces/activepieces'

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