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@postman/postman-mcp-server

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Postman MCP Server — connect AI agents (Claude Code, Cursor, VS Code Copilot, Gemini CLI) to your Postman collections, specifications, and environments via Model Context Protocol (MCP)

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import { z } from 'zod'; import { asMcpError, McpError, defineToolAnnotations } from './utils/toolHelpers.js'; export const method = 'getMonitorRunResults'; export const title = 'Get monitor run results'; export const description = 'Gets results for a monitor run, including trimmed execution logs (beforeItem and assertion events only) and result counts. Use this to inspect per-request assertions and failure details for a specific run.\n\nThis is Step 3 of the monitor-run workflow: listMonitorExecutions → listRunsForExecution → getMonitorRunResults. The runId must come from listRunsForExecution — do NOT use an executionId here, it will return 404.'; export const parameters = z.object({ monitorId: z .string() .describe("The monitor's ID. Must be a plain UUID (e.g. `1f00bf12-7ee5-4500-a1a7-3c721a03d42c`), not a uid with numeric prefix."), runId: z .string() .describe("The run's ID, obtained from listRunsForExecution. Do NOT pass an executionId here."), }); export const annotations = defineToolAnnotations({ title: 'Get monitor run results', readOnlyHint: true, destructiveHint: false, idempotentHint: true, openWorldHint: false, }); export async function handler(args, extra) { try { const endpoint = `/monitors/${encodeURIComponent(String(args.monitorId))}/runs/${encodeURIComponent(String(args.runId))}/results`; const result = await extra.client.get(endpoint, { headers: extra.headers }); return { content: [ { type: 'text', text: typeof result === 'string' ? result : JSON.stringify(result, null, 2), }, ], }; } catch (e) { if (e instanceof McpError) { throw e; } throw asMcpError(e); } }