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lakernote/easy-postman avatar
lakernote/easy-postman

easy-postman: API debugging and load testing in one Java desktop app

An open-source API debugging and stress testing tool inspired by Postman and a simplified JMeter, optimized for developers with a clean UI and powerful features.

725 stars60 forksJavaApache-2.0

At a glance

What is it?
easy-postman merges a Postman-style API client with JMeter-style performance testing into a single Java 17 desktop application, keeps collections local by default, and ships an MCP server inside every release package so AI clients can drive saved APIs. The trade-off is a large multi-module Java project with an unsigned installer.
Who is it for?
Adopt easy-postman when one team needs both request debugging and load plans against the same saved collections, and when a local-first workspace that can be committed to Git is worth more than cloud sync.
Can I use it commercially?
Yes. Apache-2.0 is a permissive licence: you can use, modify and sell software built on it, as long as you keep its copyright and licence notices.
Is it still maintained?
Yes. The repository received new commits within the last day.
What is it written in?
Mainly Java, according to GitHub's language statistics.

Answers come from the project's GitHub data, last synced on October 23, 2026, and from our analysis. They are not legal advice.

Editorial analysis

Two tools that usually live in separate windows

easy-postman is a Java 17 desktop application that puts API debugging and performance testing in one place. The README frames it as Postman-style API debugging plus JMeter-style performance testing, and the difference from the usual arrangement is that the two halves share the same saved collections rather than living in separate tools with separate file formats.

The feature table is specific about what that means in practice. Debugging covers HTTP and HTTPS, SSE, WebSocket, authentication, cookies, multiple body types, response inspection and network logs. Collections and scripts cover Postman v2.1 and cURL import, environments, pre and post scripts, assertions and request chaining. Performance testing covers thread groups, timers, extractors, live metrics, reports and distributed master and worker runs.

So the target user is a backend engineer who debugs an endpoint in the morning, then loads it in the afternoon, and does not want to re-describe the request twice. The application is local-first, with collections, environments and test data staying on the machine by default, which is the opposite of the cloud workspace model some API clients push.

Workspaces isolate collections and can be committed to Git

Storage is where easy-postman departs from a typical hosted API client. The documentation describes local and Git workspaces as isolated collections, environments and settings with user-controlled storage. A Git workspace means the same workspace can be committed and shared, so a collection lives next to the service code it exercises rather than in an account on someone else's server.

That is the design decision that makes the rest of the feature set cohere. If collections are files in a repository, then a CI job can run them, which is what the headless CLI does. The same property is what lets an AI client run a saved API through MCP without a running desktop session.

The plugin and module layout in the repository supports the same idea of a shared core. Alongside the app there are separate modules for the collection core, the HTTP runtime, the mock core, the performance core, the request core, the UI, the platform layer, the MCP server, and both a plugin API and a plugin runtime, plus a plugin-catalog directory and a Maven pom.xml at the root. The screenshot set in the docs includes a Git workspace commit view, which suggests the Git workflow is treated as a first-class screen rather than an export option.

Install: a native package that bundles its own runtime

The recommended path is a release package from GitHub Releases, with a Gitee mirror also available. The important detail is what the packages contain. Native installers and the Windows portable package include a runtime, so neither the desktop app nor the MCP server needs a separate Java installation. Only the cross-platform JAR requires Java 17 or later on the machine.

The package list covers the usual desktop platforms. macOS has separate builds for Apple Silicon and Intel, Windows ships as an installer or a portable zip, Debian and Ubuntu have x64 and ARM64 deb files with a compat variant for older dpkg versions, and RHEL, Rocky, CentOS and Fedora have rpm builds for x86_64 and aarch64. The JAR is the fallback for anything else.

On Windows the documentation gives a package manager route, which is the least ambiguous way to install and to keep current:

powershell
winget install --id Laker.EasyPostman --exact

Upgrades then use the same identifier:

powershell
winget upgrade --id Laker.EasyPostman --exact

Expect a first-launch warning. Windows SmartScreen or macOS Gatekeeper may block the first run, and the documented answer is to choose Run anyway, or right-click the macOS app and choose Open.

The MCP server is part of the release, not a separate download

Most tools that speak MCP ship a separate server package. easy-postman does not. The README states the MCP Server is included in every release package, with no separate MCP download and no server to start manually, and the recommended native installers and the Windows portable package bundle both EasyPostmanMCP and a JRE.

Setup is a local STDIO server entry in Codex, Claude Desktop or Cursor, where the command is the platform launcher. The macOS configuration is:

json
{
  "command": "/Applications/EasyPostman.app/Contents/MacOS/EasyPostmanMCP",
  "args": []
}

On other platforms only the command changes, and the documentation lists the Windows installer path, the Windows portable executable inside its extracted directory, and the Linux DEB and RPM location under /opt/easypostman/bin.

Two operational details matter more than they look. Keep args empty, since no workspace path is required for the default setup. And the client starts one process per MCP connection and reuses it across tool calls, so it does not restart the application for every request. A safe first test, given that the whole point is letting an AI client execute requests, is to ask it to list all workspaces and not run any request.

Codex CLI registration and the JAR fallback

Codex CLI users can register the same server from a shell instead of editing configuration by hand:

bash
codex mcp add easy-postman -- /Applications/EasyPostman.app/Contents/MacOS/EasyPostmanMCP

After saving the configuration, the documented steps are to restart the MCP client and open a new conversation, since a running client will not pick up a new server entry on its own.

If you downloaded only the cross-platform JAR, there is a fallback that requires Java 17 or later to be present:

json
{
  "command": "java",
  "args": ["-jar", "/absolute/path/to/easy-postman-{version}.jar", "mcp", "serve"]
}

This is the one configuration that trades convenience for portability. Everything else in the release bundles a runtime, while this path asks you to supply a matching Java yourself. The mcp serve argument is the only part that tells the JAR to run in server mode, and the absolute path is required, since the launcher is started as a child process by the client.

One trap on the Windows portable build: EasyPostmanMCP.exe cannot be copied out of its directory on its own, so the whole extracted folder has to stay together.

Where the packaging and signing work bites

The clearest limitation in the documentation is not about features. The project states that it does not currently use a commercial code-signing certificate, and that all source code is available for review as the counterweight. In practice this means Windows SmartScreen and macOS Gatekeeper can warn on first launch, and in a managed corporate environment an unsigned or unnotarised installer can simply be blocked by policy before the user ever gets the Run anyway option.

The second limitation is the fragmentation of the package matrix. Each platform has its own artifact, plus a Windows portable zip, plus RPM and deb variants including a compat build for older dpkg, plus the JAR. Nothing here is wrong, but it does mean the install step is a decision rather than a single command on Linux, where there is no package manager entry equivalent to the Windows one.

A third boundary is the scope of the MCP integration. The documentation describes an AI client running saved APIs, and the safe first test it recommends is deliberately narrow. The tool is intended to execute real requests against real endpoints, so putting it in front of an assistant means giving that assistant the ability to call production URLs, and the configuration has no sandbox switch described in it.

The alternative is two tools and two copies of the same request

The usual alternative to easy-postman is the arrangement its README describes: a Postman-style GUI client for request debugging and a separate JMeter-style load generator, each with its own representation of a request. The difference in approach is not the feature list but the file format. In easy-postman the load plan and the debug request live in the same collections, so a body, a header set or an environment variable is edited once.

The second difference is where the workspace lives. A local-first collection that can be committed to Git can be executed by a CI job through the headless CLI, and can be exposed to an AI client over MCP. A request held inside a hosted client's account cannot do either without an export step, and an export step is exactly the kind of place where a body type or a header gets lost between tools.

What you give up in exchange is reach. The bundled load testing is presented as a simplified JMeter rather than a full one, and the debugging side is presented as Postman-style rather than a complete Postman feature set. The full feature list lives in docs/FEATURES.md, so the honest way to compare is to read that file against the two-tool workflow you have today.

Release cadence and what is still moving

The project is shipping frequently. Recent tags include v6.2.7 on 2026-10-19, v6.2.6 on 2026-10-15 and v6.2.5 on 2026-10-12, and the last push to the repository was on 2026-10-20. Patch-level releases several days apart mean an upgrade can change behaviour under you, which is an argument for the winget upgrade path rather than for pinning a build.

The license is Apache-2.0, which permits commercial use and modification under its notice and patent conditions. That is a statement of what the license grants, not legal advice, and anyone embedding EasyPostmanMCP in an internal tooling stack should read the LICENSE file directly.

The repository is a large Maven project with a plugin catalog and separate plugin API and runtime modules, so the architecture leaves room for extensions, and the AGENTS.md file at the root suggests the project is developed with coding agents in the loop. For an evaluation, the concrete next step is to install the native package for your platform, load one collection that already matters to you, and run the same request through both the GUI and the headless CLI to see whether the sharing model earns its keep.

Editorial conclusion

Adopt easy-postman when one team needs both request debugging and load plans against the same saved collections, and when a local-first workspace that can be committed to Git is worth more than cloud sync. Do not adopt it if you need a signed installer on managed Windows or macOS machines, because the project states it does not use a commercial code-signing certificate, and do not expect the bundled MCP server to work from a single copied executable on the Windows portable build. Before you roll it out, install the native package rather than the cross-platform JAR so the runtime is included, and check the release page for the current version, since the most recent tags landed in October 2026.

Frequently asked questions

Does easy-postman need Java installed?

Only the cross-platform JAR requires Java 17 or later. Native installers and the Windows portable package include a runtime, and they bundle both EasyPostmanMCP and a JRE, so no separate Java installation is needed.

Do I need to download the MCP server separately for easy-postman?

No. The MCP Server is included in every release package, with no separate download and no server to start manually. The recommended native installers and the Windows portable package bundle EasyPostmanMCP together with a JRE.

How do I install easy-postman on Windows?

Use winget with the package identifier: winget install --id Laker.EasyPostman --exact. Later upgrades use the same identifier with winget upgrade. A Gitee mirror of the releases is also available.

Can easy-postman run load tests and API debugging in the same workspace?

Yes, that is the core of the design. The application combines Postman-style API debugging and JMeter-style performance testing, with thread groups, timers, extractors, live metrics, reports and distributed master and worker runs for the load side.

Why does Windows warn me when I first launch easy-postman?

Windows SmartScreen and macOS Gatekeeper can show a first-launch warning because the project does not currently use a commercial code-signing certificate. The documented response is to choose Run anyway, or right-click the macOS app and choose Open.

Official sources

  1. Issues
  2. lakernote/easy-postman on GitHub
  3. License: Apache-2.0
  4. README
  5. Releases
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