Postman

ChatGPT plugin

API Engineering for Agents

View in ChatGPT directory

Equip Codex with specialized Postman skills for the complete API lifecycle. Discover, design, test, document, mock, monitor, and improve APIs through agent-friendly, filesystem-first workflows

Postman is #313 of 13,927 ChatGPT plugins by placement, up 192 places in a week.

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Rank by placement

#313of 13,92711places up24h192places up7d
#195#551#907#1,263Oct 17Oct 23Oct 29Nov 4Nov 10Nov 15

Rank in Developer tools

#31of 1,065024h11places up7d
#23#50#77#104Oct 17Oct 23Oct 29Nov 4Nov 10Nov 15

13 listing changes logged · latest Nov 5: Skills, Version. See what changed

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Developer tools31st of 1,065 by placement
#PluginPosition7d
29Hatchable#29181places down
30Namecheap#30547places down
31PostmanThis page#313192places up
32NVIDIA Skills#33314places down
33Mermaid Chart#33932places down

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Example prompts

  • “create a collection for the API in this repo, add tests, and run them”
  • “turn this OpenAPI spec into a working mock server”
  • “is this API Agent ready?”

Skills

  • ai-readiness

    Use when assessing or improving how well AI agents can discover, call, and recover from errors with an API. Scores an existing Postman collection or OpenAPI spec and turns measured gaps into contract improvements; supports a separate CI readiness threshold. Use for requests such as "is this API ready for agents".

  • api-discovery

    Use when finding an API or owner, integrating a public provider, locating Postman resources, or investigating consumers and change impact across services. Turns discovered contracts and mocks into reusable dependencies and identifies evidence outside the current checkout. Use for requests such as "who consumes this endpoint".

  • api-documentation

    Use when defining or improving an API contract, generating documentation from a collection or OpenAPI spec, publishing API docs, or sharing a documentation link. Makes auth, inputs, responses, and examples reusable by callers, tests, and mocks. Use for requests such as "publish API docs".

  • api-engineer

    Use when designing, implementing, mocking, testing, monitoring, documenting, or deploying an API. Guides decisions using reusable local API contracts, tests, and mocks, plus organization-wide dependency context, and routes to the relevant Postman skills. Use for requests such as "implement this endpoint".

  • api-mocking

    Finds, builds, runs and publishes a stand-in for one API — the owning team's published mock when there is one, otherwise one built from its spec or collection that behaves like the real API, stateful when callers write then read. Use when something needs an API that isn't built or reachable yet (a frontend, client or demo), when other teams should build against your API before it ships, or when asked to mock an API or fake a backend. To run and test your own code against the services it calls, use api-simulation. Covers `postman mock` and `postman dependency add mock`.

  • api-monitoring

    Use when setting up recurring API checks, running or diagnosing a Postman Monitor, changing its schedule, or reaching private APIs through a self-hosted runner. Reuses collection assertions to detect live regressions and traces failures to individual run evidence. Use for requests such as "check this API every minute".

  • api-simulation

    Runs services, frontends, tests or demos against stand-ins for their HTTP dependencies, served as one environment locally or at a deployed URL. Use when you add or change code that calls other services and need to run it, test it, prove a fix or reproduce an upstream failure (timeouts, 5xx, 409, 429) end to end, locally or in CI, without the real services because they're unreachable, need credentials, cost money, have side effects or don't exist yet. Also answers what happens to a request, or to the data it writes, when a service it calls goes down, is slow or returns errors ("what happens to a booking if the email service is down?"), by exercising relevant failures and observing caller outcomes. Applies even when nobody says mock or simulation, and a `postman/simulations/` directory in the repository is itself a reason to load this before changing code it covers. To give a frontend or another team a stand-in for an API, use api-mocking. Covers `postman simulation`.

  • api-testing

    Use when testing an endpoint, running collection assertions, or checking real application traffic against an API contract. Reuses saved requests and reports what live, mocked, or captured-traffic results actually establish. Use for requests such as "test this endpoint".

  • application-testing

    Sets up, runs, debugs, and interprets results from `postman application test` — the Postman layer that runs your Playwright tests, captures their network traffic, matches it against a collection contract, runs pm.test assertions, and publishes results to Application Inventory. Covers the Postman side of the integration only — not Playwright test authoring or Playwright failures unrelated to capture. Use when the user asks to "set up application testing," "test my application with Postman," "connect my Playwright tests to Postman," "capture network traffic from Playwright," "Playwright tests are running but nothing shows up in Postman," "why isn't application testing capturing anything," "exclude certain requests from capture," "generate a collection from my app's traffic," "set up application testing in CI," "what API coverage do my e2e tests have," "which APIs are my Playwright tests not hitting."

  • ci-integration

    Use when adding API tests, structural or governance lint, or AI-readiness gates to CI, or publishing reviewed API artifacts to a Postman workspace after merge. Makes contract checks repeatable and separates validation from shared workspace changes. Use for requests such as "run this collection on every PR".

  • cli-install

    Use when the Postman CLI is missing or can't be installed, or when `postman` is "command not found". Installs the CLI globally so `postman` is on `PATH`, with a fallback to the hosted MCP server when installing is blocked. Use for requests such as "install the Postman CLI".

  • collection-schema-v3

    Use when writing or debugging local Postman v3 collection, environment or globals files, including collection lint failures. Preserves the per-entity files, inherited context, and schema shapes that make API changes reusable and reviewable in Git. Use for requests such as "fix this request YAML".

Show all 19
  • datasets

    Use when creating or repairing dataset manifests, or when a collection needs queried or joined test inputs, a reusable named view, spreadsheet worksheet data, live database rows, or script access through pm.datasets(). Chooses between a simple iteration file and a dataset while preserving query semantics, portability, and credential boundaries. Use for requests such as "run this collection over database rows".

  • flows

    Use when running, deploying, or debugging an existing Postman Flow. Distinguishes local graph execution from a deployed webhook, reuses named input scenarios, and follows a run to the failing block rather than treating an HTTP response as whole-flow success. Use for requests such as "why did this flow fail".

  • performance-testing

    Use when load-testing or benchmarking an API with concurrent virtual users and latency or error thresholds, or when importing or migrating a JMeter `.jmx` plan or a Gatling simulation (Java/Kotlin/Scala/JS/TS) into a Postman collection plus a `postman performance run` configuration. Reuses a collection to probe a chosen failure mode and distinguishes target limits from load-generator limits. Use for requests such as "load test this API", "import my JMeter plan", or "convert my Gatling project to Postman".

  • postman-mcp-server

    Use when working through Postman MCP tools to inspect or change workspace resources, choose a targeted operation, or handle MCP limitations. Supports hosted workflows when the CLI is unavailable and distinguishes tool completion from a usable result. Use for requests such as "use Postman MCP to inspect this collection".

  • variables

    Use when parameterizing requests across environments, choosing variable scopes, chaining values in scripts, or referencing credentials without committing or exposing them. Keeps one reusable collection while separating target configuration from secret values. Use for requests such as "where should I put this API key".

  • webhook-testing

    Capture, forward to localhost, replay, and validate webhook deliveries using a reusable public URL. Keep sender configuration across debugging sessions and record arrivals even while local forwarding is stopped, helping distinguish delivery failures from local connectivity issues. Use for implementing or debugging incoming handlers and testing webhooks an API sends, whether or not Postman is mentioned. Example requests include "get payment events to localhost," "inspect a webhook delivery," and "replay an event after a fix"; these illustrate intent, not an exhaustive list or exact phrases to match.

  • workspaces

    Use when initializing Postman in a repository, binding it to a Postman workspace, interpreting what `postman init` did, or when a CLI command fails because the plan, credits, or usage quota don't allow the operation. Treats the workspace as the place where a service's API work and its evidence live, kept separate from the services it depends on. Use for requests such as "set up Postman in this repo" or "connect this repo to our workspace".

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Availability
Available
Version
0.6.0
Created
July 30, 2026
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