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API Test MCP

by thisis-najeebversion 1.0.2i★ –iRuns on your computer
Registry nameio.github.thisis-najeeb/api-test-mcp

Install

Overview

Description from the maker (original English)

Call the real API and check the response against your OpenAPI spec.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Other

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • The registry lists no key to fill in.

You need

  • npmNode.js installed (for the npx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "api-test": {
      "command": "npx",
      "args": [
        "-y",
        "api-test-mcp"
      ]
    }
  }
}

Run this in your terminal

claude mcp add api-test -- npx -y api-test-mcp

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "api-test": {
      "command": "npx",
      "args": [
        "-y",
        "api-test-mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "api-test": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "api-test-mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account thisis-najeeb, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Otheri

  • More stars than 0% of the other 32572 servers in this category
  • Published to the registry more recently than 32% of the other 32572 servers in this category
  • Basic checks equal to or better than 100% of the other 32572 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is API Test MCP safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (1.0.2) reached the registry 2 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, AvaHR

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Spec Driven Development

by formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

Runs on your computer★ 440MITUpdated 14 months ago
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Remote Desktop Commander

by desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

Runs in the cloud★ 211Updated yesterday
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AvaHR

by avahr.com

Read hiring data and create inactive assessment and questionnaire drafts for human review.

Runs in the cloudUpdated today
Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

api-test-mcp

An MCP server that gives Claude Code, Cursor, Windsurf, or any MCP-compatible AI agent the ability to actually call your API and check the response against what your OpenAPI spec promises — not just read the docs and guess.

No API keys, no config, no cost. Works with any OpenAPI/Swagger 3.x spec (URL or local file).

Why this exists

AI agents are great at reading an OpenAPI spec and writing code against it — but they're guessing about whether the real API actually behaves the way the spec says. This gives an agent (or you, in a normal chat) a way to find out for real: call the live endpoint, and check whether the response actually matches the documented schema.

Install

git clone <this repo>

cd api-test-mcp npm install

Add it to your MCP client config, e.g. for Claude Code:

claude mcp add api-test -- node /absolute/path/to/api-test-mcp/src/index.js

Or in claude_desktop_config.json / Cursor's MCP settings:

{

"mcpServers": { "api-test": { "command": "node", "args": ["/absolute/path/to/api-test-mcp/src/index.js"] } } }

Tools

ToolWhat it does
load_api_specLoad and dereference an OpenAPI/Swagger spec from a URL or local path. Returns the API title, servers, and every documented endpoint. Call this first.
list_endpointsList every endpoint currently loaded.
call_endpointMake a real HTTP call to a documented endpoint. Returns the real status, headers, and body.
validate_responseCheck a response body against the JSON schema documented for a given method + path + status.
test_endpointcall_endpoint + validate_response in one step. The main tool — "does this endpoint actually work as documented?"
run_all_testsBest-effort contract-test pass across every GET endpoint that needs no required parameters. Pass includeMutating: true to also auto-generate example params/bodies from the schema and attempt POST/PUT/PATCH (off by default — it can write real data). Endpoints still needing manual input are listed as skipped, with the reason.
check_healthOne-shot ping across a set of endpoints (or every parameter-free GET in the loaded spec): reports reachability and latency. Handy before a demo or as a CI step.
diff_api_specsCompare two versions of a spec (e.g. an old tag vs. main) and flag likely-breaking changes — removed endpoints, newly-required fields, type changes, removed enum values — versus safe additive changes.

All of the above accept an optional auth preset (bearer, apiKey in a header or query param, or basic) so authenticated APIs aren't limited to hand-building raw headers, and an optional timeoutMs.

Example (what an agent conversation looks like)

You: Load my API spec at https://api.example.com/openapi.json and check whether /users/{id} actually returns what it documents.

Agent: *(calls load_api_spec, then test_endpoint with a real user id)* → "Called it — got a 200, but the response is missing the created_at field your spec marks as required, and role is documented as an enum of 3 values but the API returned "superadmin", which isn't one of them."

For an authenticated API:

You: Run a full contract-test pass against my staging API using this bearer token, and include the write endpoints.

Agent: *(calls run_all_tests with { auth: { type: "bearer", token: "..." }, includeMutating: true })* → "12 passed, 2 failed, 3 skipped. POST /orders failed schema validation — total_cents came back as a string, not the integer your spec documents."

Tested against real live traffic

npm test runs three real, unmocked checks, no canned fixtures pretending to be a server:

  • test/smoke-test.js — loads a spec, makes real HTTPS calls to a live public API, validates the real response, and deliberately feeds in a broken response to confirm validation actually catches mismatches (not just a happy-path check).
  • test/new-features-test.js — auth presets applied to a real outgoing request URL, a real network timeout/abort, a real health-check call, and deterministic offline tests for the spec-diff logic.
  • test/mcp-protocol-test.js — spawns the actual MCP server as a subprocess and talks to it over the real MCP protocol, the same way Claude Code or Cursor would.

CI runs the full suite on every push/PR against Node 18, 20, and 22.

Roadmap

v1.0 shipped contract testing, auth presets, auto-generated example data for mutating endpoints, spec diffing, and health checks. Ideas for what's next:

  • YAML output mode / a small CLI wrapper for non-MCP use
  • Configurable retry/backoff for flaky endpoints in run_all_tests and check_health
  • Pattern-aware example generation (respect JSON Schema pattern instead of a placeholder string)
  • Persisted health-check history (currently one-shot only)

Contributions welcome — see CONTRIBUTING.md. See an endpoint type or spec quirk this doesn't handle well? Open an issue.

License

MIT

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