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Buu AI MCP Server

GenRequestTools.ts5.06 kB
import { z } from 'zod'; import { gql, GraphQLClient } from 'graphql-request'; import { McpServer } from '@modelcontextprotocol/sdk/server/mcp.js'; const generateImageQuery = gql` mutation GenerateImage($subthreadId: String!) { generateImage(subthreadId: $subthreadId) { ... on GenRequest { _id subthreadId teamId status metadata type images { alt keyS3 size type url } model_mesh { alt keyS3 size type url } timings { inference } credits createdAt updatedAt address } ... on HandledError { code message } } } `; const generateModelQuery = gql` mutation GenerateModel($imageUrl: String!, $subthreadId: String!, $imageRequestId: String) { generateModel(imageUrl: $imageUrl, subthreadId: $subthreadId, imageRequestId: $imageRequestId) { ... on GenRequest { _id subthreadId teamId status metadata type images { alt keyS3 size type url } model_mesh { alt keyS3 size type url } timings { inference } credits createdAt updatedAt address } ... on HandledError { code message } } } `; const getSubthreadGenRequestsQuery = gql` query GetSubthreadGenRequests($subthreadId: String!) { getSubthreadGenRequests(subthreadId: $subthreadId) { ... on GenRequestsPage { items { _id subthreadId teamId status metadata type images { alt keyS3 size type url } model_mesh { alt keyS3 size type url } timings { inference } credits createdAt updatedAt address } metadata { limit offset orderBy orderDirection numElements total page pages } } ... on HandledError { code message } } } `; export const registerGenRequestTools = (server: McpServer, client: GraphQLClient) => { server.tool( 'generate_image', '[PRIVATE] - Generate image', { subthreadId: z.string().describe('Subthread ID used to generate the image'), }, async ({ subthreadId }) => { try { const response = await client.request(generateImageQuery, { subthreadId }); return { content: [{ type: 'text', text: JSON.stringify(response) }] }; } catch (error) { console.error('Error calling generate_image:', error); return { isError: true, content: [ { type: 'text', text: `Error: Failed to generate image. ${error}`, }, ], }; } } ); server.tool( 'generate_model', '[PRIVATE] - Generate model.', { imageRequestId: z .string() .optional() .describe('Optional ID of a previously generated image request'), imageUrl: z.string().describe('Image URL used to generate the model'), subthreadId: z.string().describe('Subthread ID where the model will be linked'), }, async ({ imageRequestId, subthreadId, imageUrl }) => { try { const response = await client.request(generateModelQuery, { imageUrl, subthreadId, imageRequestId, }); return { content: [{ type: 'text', text: JSON.stringify(response) }] }; } catch (error) { console.error('Error calling generate_model:', error); return { isError: true, content: [ { type: 'text', text: `Error: Failed to generate model. ${error}`, }, ], }; } } ); server.tool( 'genrequest_get_all', "[PRIVATE] - Get all team's GenRequests by subthread ID", { subthreadId: z.string().describe('Subthread ID to retrieve all associated GenRequests'), }, async ({ subthreadId }) => { try { const response = await client.request(getSubthreadGenRequestsQuery, { subthreadId, }); return { content: [{ type: 'text', text: JSON.stringify(response) }] }; } catch (error) { console.error('Error calling genrequest_get_all:', error); return { isError: true, content: [ { type: 'text', text: `Error: Failed to retrieve GenRequests. ${error}`, }, ], }; } } ); };

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