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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 } from './utils/toolHelpers.js'; export const method = 'getCollections'; export const title = 'Get all collections'; export const description = 'The workspace ID query is required for this endpoint. If not provided, the LLM should ask the user to provide it.'; export const parameters = z.object({ workspace: z.string().describe("The workspace's ID."), name: z .string() .describe('Filter results by collections whose name exactly matches the given value. Partial or substring matches are not supported.') .optional(), limit: z .number() .int() .gte(1) .lte(99) .describe('The maximum number of rows to return in the response.') .optional(), offset: z .number() .int() .describe('The zero-based offset of the first item to return.') .optional(), }); export const annotations = { title: 'Get all collections', readOnlyHint: true, openWorldHint: false, destructiveHint: false, idempotentHint: true, }; export async function handler(args, extra) { try { const endpoint = `/collections`; const query = new URLSearchParams(); if (args.workspace !== undefined) query.set('workspace', String(args.workspace)); if (args.name !== undefined) query.set('name', String(args.name)); if (args.limit !== undefined) query.set('limit', String(args.limit)); if (args.offset !== undefined) query.set('offset', String(args.offset)); const url = query.toString() ? `${endpoint}?${query.toString()}` : endpoint; const options = { headers: extra.headers, }; const result = await extra.client.get(url, options); 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); } }