Skip to main content
Glama

postv2callstranscript

Download call transcripts from Gong using filters like date ranges, call IDs, or participant emails to access conversation records.

Instructions

Download transcripts

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
requestBodyYesThe JSON request body.

Implementation Reference

  • src/index.ts:80-89 (registration)
    Registration of the 'postv2callstranscript' tool in the toolDefinitionMap, including its metadata, input schema, HTTP method, path, and security requirements.
    ["postv2callstranscript", { name: "postv2callstranscript", description: `Download transcripts`, inputSchema: {"type":"object","properties":{"requestBody":{"type":"object","required":["filter"],"properties":{"filter":{"type":"object","properties":{"fromDateTime":{"type":"string","format":"date-time"},"toDateTime":{"type":"string","format":"date-time"},"callIds":{"type":"array","items":{"type":"string"}},"primaryUserIds":{"type":"array","items":{"type":"string"}},"participantsEmails":{"type":"array","items":{"type":"string","format":"email"}}}},"cursor":{"type":"string"}},"description":"The JSON request body."}},"required":["requestBody"]}, method: "post", pathTemplate: "/v2/calls/transcript", executionParameters: [], requestBodyContentType: "application/json", securityRequirements: [{"basicAuth":[]}] }],
  • Input schema definition for the tool, defining the expected requestBody with filter (date range, callIds, users, emails) and optional cursor for pagination.
    inputSchema: {"type":"object","properties":{"requestBody":{"type":"object","required":["filter"],"properties":{"filter":{"type":"object","properties":{"fromDateTime":{"type":"string","format":"date-time"},"toDateTime":{"type":"string","format":"date-time"},"callIds":{"type":"array","items":{"type":"string"}},"primaryUserIds":{"type":"array","items":{"type":"string"}},"participantsEmails":{"type":"array","items":{"type":"string","format":"email"}}}},"cursor":{"type":"string"}},"description":"The JSON request body."}},"required":["requestBody"]},
  • Generic tool execution handler that performs input validation, constructs the API request (POST to https://api.gong.io/v2/calls/transcript with JSON body and Basic Auth), executes the axios call, and returns the response as formatted JSON text. Handles errors including validation and API failures.
    async function executeApiTool( toolName: string, definition: McpToolDefinition, toolArgs: JsonObject, allSecuritySchemes: Record<string, any> ): Promise<CallToolResult> { try { // Validate input arguments using Zod const zodSchema = getZodSchemaFromJsonSchema(definition.inputSchema, toolName); const validatedArgs = zodSchema.parse(toolArgs); // Build the request URL let url = API_BASE_URL + definition.pathTemplate; // Replace path parameters for (const param of definition.executionParameters) { if (param.in === 'path') { const value = validatedArgs[param.name]; if (value !== undefined) { url = url.replace(`{${param.name}}`, encodeURIComponent(value)); } } } // Build query parameters const queryParams: Record<string, string> = {}; for (const param of definition.executionParameters) { if (param.in === 'query') { const value = validatedArgs[param.name]; if (value !== undefined) { queryParams[param.name] = value; } } } if (Object.keys(queryParams).length > 0) { url += '?' + new URLSearchParams(queryParams).toString(); } // Debug logging (safe) console.error('Debug - Making API request to:', url); // Get credentials from environment const accessKey = process.env.GONG_ACCESS_KEY || ''; const secret = process.env.GONG_SECRET || ''; if (!accessKey || !secret) { throw new Error('Missing Gong credentials in environment'); } // Create authorization header const authHeader = `Basic ${Buffer.from(`${accessKey}:${secret}`).toString('base64')}`; // Build request config const config: AxiosRequestConfig = { method: definition.method, url, headers: { 'Accept': 'application/json', 'Authorization': authHeader } }; // Add request body if needed if (definition.requestBodyContentType) { config.headers!['Content-Type'] = definition.requestBodyContentType; if (validatedArgs.requestBody) { config.data = validatedArgs.requestBody; } } // Make the request const response = await axios(config); return { content: [ { type: 'text', text: JSON.stringify(response.data, null, 2) } ] }; } catch (error: any) { if (error instanceof ZodError) { return { content: [{ type: 'text', text: `Validation error: ${error.message}` }] }; } if (axios.isAxiosError(error)) { return { content: [{ type: 'text', text: formatApiError(error) }] }; } return { content: [{ type: 'text', text: `Unexpected error: ${error.message}` }] }; } }
  • MCP server request handler for CallToolRequestSchema that dispatches to the specific tool definition and executes it via executeApiTool.
    server.setRequestHandler(CallToolRequestSchema, async (request: CallToolRequest): Promise<CallToolResult> => { const { name: toolName, arguments: toolArgs } = request.params; const toolDefinition = toolDefinitionMap.get(toolName); if (!toolDefinition) { console.error(`Error: Unknown tool requested: ${toolName}`); return { content: [{ type: "text", text: `Error: Unknown tool requested: ${toolName}` }] }; } return await executeApiTool(toolName, toolDefinition, toolArgs ?? {}, securitySchemes); });

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/MaPa07/gong-mcp'

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