Skip to main content
Glama

exportWhiteboard

Export Heptabase whiteboards in markdown, JSON, or HTML formats with customizable options to include cards, connections, and metadata for efficient data retrieval and analysis.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
formatNomarkdown
includeCardsNo
includeConnectionsNo
includeMetadataNo
outputPathYes
whiteboardIdYes

Implementation Reference

  • Core handler function that retrieves whiteboard data, generates export content in markdown/json/html format, writes it to the specified output path, and returns a confirmation message.
    export async function exportWhiteboard( dataService: HeptabaseDataService, params: z.infer<typeof exportWhiteboardSchema> ) { const data = await dataService.getWhiteboard(params.whiteboardId, { includeCards: params.includeCards, includeConnections: params.includeConnections }); let content = ''; switch (params.format) { case 'markdown': content = await generateMarkdownExport(data, params); break; case 'json': content = JSON.stringify(data, null, 2); break; case 'html': content = await generateHtmlExport(data, params); break; } await fs.mkdir(path.dirname(params.outputPath), { recursive: true }); await fs.writeFile(params.outputPath, content, 'utf8'); const response = [`Exported whiteboard to ${params.outputPath}`]; if (params.includeMetadata) { response.push('Included metadata in export'); } return { content: [{ type: 'text', text: response.join('\n') }] }; }
  • Zod schema defining the input parameters for the exportWhiteboard tool, including whiteboard ID, format options, inclusion flags, and output path.
    export const exportWhiteboardSchema = z.object({ whiteboardId: z.string(), format: z.enum(['markdown', 'json', 'html']).optional().default('markdown'), includeCards: z.boolean().optional().default(true), includeConnections: z.boolean().optional().default(false), includeMetadata: z.boolean().optional().default(false), outputPath: z.string() });
  • src/server.ts:671-681 (registration)
    Registers the exportWhiteboard tool with the MCP server, including schema and wrapper handler that ensures data service initialization before calling the core export function.
    this.tools.exportWhiteboard = { inputSchema: exportWhiteboardSchema, handler: async (params) => { await this.ensureDataServiceInitialized(); return exportWhiteboard(this.dataService, params); } }; this.server.tool('exportWhiteboard', exportWhiteboardSchema.shape, async (params: z.infer<typeof exportWhiteboardSchema>) => { return this.tools.exportWhiteboard.handler(params); });
  • Helper function to generate markdown export content from whiteboard data, including title, metadata, cards, and connections.
    async function generateMarkdownExport(data: any, params: any): Promise<string> { const lines: string[] = []; lines.push(`# ${data.whiteboard.name}`); lines.push(''); if (params.includeMetadata) { lines.push('## Metadata'); lines.push(`- Created: ${data.whiteboard.createdTime}`); lines.push(`- Last Modified: ${data.whiteboard.lastEditedTime}`); lines.push(`- Created By: ${data.whiteboard.createdBy}`); lines.push(''); } if (data.cards?.length > 0) { lines.push('## Cards'); lines.push(''); for (const card of data.cards) { lines.push(`### ${card.title}`); const content = JSON.parse(card.content); const text = extractTextFromContent(content); lines.push(text); lines.push(''); } } if (data.connections?.length > 0) { lines.push('## Connections'); lines.push(''); for (const connection of data.connections) { lines.push(`- ${connection.beginId} → ${connection.endId}`); } lines.push(''); } return lines.join('\n'); }

Other Tools

Related Tools

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/LarryStanley/heptabase-mcp'

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