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JurreBrandsenInfoSupport

Zendesk API MCP Server

get_talk_stats

Retrieve analytics and performance metrics for Zendesk Talk phone support, including call volume, wait times, and agent activity.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Implementation Reference

  • MCP tool handler for 'get_talk_stats'. Calls zendeskClient.getTalkStats(), stringifies the result as JSON text response, or returns error message.
    handler: async () => { try { const result = await zendeskClient.getTalkStats(); return { content: [{ type: "text", text: JSON.stringify(result, null, 2) }] }; } catch (error) { return { content: [{ type: "text", text: `Error getting Talk stats: ${error.message}` }], isError: true }; } }
  • src/server.js:48-52 (registration)
    Registration of all tools (including 'get_talk_stats') on the MCP server via server.tool() calls in a loop over allTools which includes talkTools.
    allTools.forEach((tool) => { server.tool(tool.name, tool.schema, tool.handler, { description: tool.description, }); });
  • Helper method in ZendeskClient that performs the API request to fetch Talk statistics from the '/channels/voice/stats.json' endpoint.
    async getTalkStats() { return this.request("GET", "/channels/voice/stats.json"); }
  • src/tools/talk.js:4-26 (registration)
    Tool specification definition: exports talkTools array with 'get_talk_stats' tool including name, description, empty schema, and reference to handler.
    export const talkTools = [ { name: "get_talk_stats", description: "Get Zendesk Talk statistics", schema: {}, handler: async () => { try { const result = await zendeskClient.getTalkStats(); return { content: [{ type: "text", text: JSON.stringify(result, null, 2) }] }; } catch (error) { return { content: [{ type: "text", text: `Error getting Talk stats: ${error.message}` }], isError: true }; } } } ];

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