Assert
The Assert MCP server lets AI coding agents generate, execute, and inspect end-to-end (E2E) browser tests.
Generate tests (
assert_generate): Describe a user flow in plain English with a starting URL to produce a ready-to-run test scenario in Assert Markdown format. Optionally save it to your project for reuse.Run tests (
assert_run): Execute a saved scenario by ID or provide ad-hoc Markdown directly. Runs are asynchronous and return arun_idfor polling. Supports idempotency via a client-suppliedrequest_id.Inspect results (
assert_status): Poll a run for its status and retrieve step-level pass/fail results, error messages, and screenshot URLs for failed steps.List saved scenarios (
assert_list): Browse all scenarios visible to your API key, with pagination and optional project ID filtering — useful for auditing existing coverage before generating new tests.
@assert-click/mcp
MCP server for Assert — lets your AI coding agent generate, run, and inspect E2E tests without leaving the chat.
Describe a user flow in plain English. Assert generates a Playwright test, executes it in a real browser, and returns step-level results and failure screenshots — all from a single tool call in Cursor, Claude, Windsurf, or any MCP-compatible agent.
Sign up free at assert.click to get your API key and project ID before using this package.
What your agent can do
Generate — describe a flow, get back a Markdown scenario ready to save and run
Run — execute a saved scenario or ad-hoc Markdown against a real Chromium browser
Inspect — fetch step-level pass/fail, error messages, and failure screenshot URLs
List — browse saved scenarios visible to the API key
Requirements
Node.js
>=18.17A project-scoped Assert key — get one at assert.click
Setup
1. Create assert.config.json in your repo:
{
"projectApiKey": "assert_project_key_here",
"projectId": "project_123"
}2. Add the MCP server to your agent config:
{
"mcpServers": {
"assert": {
"command": "npx",
"args": ["-y", "@assert-click/mcp"],
"env": {
"ASSERT_CONFIG": "/absolute/path/to/assert.config.json"
}
}
}
}That's it. Your agent now has access to all four Assert tools.
Private URLs
Targets such as localhost, 127.0.0.1, and LAN or VPN IP addresses are blocked by default.
Use a public URL unless the machine executing the Assert run is intentionally configured to allow private targets with:
ALLOW_PRIVATE_TARGETS=trueSet that on the machine or process running Assert. Do not put it in assert.config.json.
Environment variables
ASSERT_API_KEY: API key (alternative to storing it inassert.config.json)ASSERT_PROJECT_ID: optional default project IDASSERT_CONFIG: optional path to a config file or directory
Config files
The MCP server will look for these files from the current directory upward:
assert.config.jsonassert.config.local.json
assert.config.local.json is merged on top of assert.config.json.
If you prefer env-based secrets instead of committing the key:
{
"projectApiKeyEnv": "ASSERT_API_KEY",
"projectId": "project_123"
}Tools
assert_generate
Generate a Markdown scenario from a plain-English description.
Input:
description: string— what the user should be able to dourl: string— the starting URLproject_id?: stringsave?: boolean— save to the project (default: false)
Returns:
{
"scenario_id": "scenario_123",
"markdown": "URL: https://example.com/login\nSCENARIO: Login\nPROCESS:\n - Fill \"email\" with \"user@example.com\"\nEXPECT: Dashboard",
"saved": true
}assert_run
Execute a saved scenario or ad-hoc Markdown in a real browser.
Input:
scenario_id?: stringmarkdown?: stringproject_id?: stringrequest_id?: string
Exactly one of scenario_id or markdown must be provided.
Returns:
{
"run_id": "run_123",
"status": "queued",
"estimated_duration_seconds": null
}assert_status
Fetch step-level results for a run.
Input:
run_id: string
Returns:
{
"run_id": "run_123",
"status": "passed",
"duration_ms": 4200,
"steps": [
{
"description": "Fill email",
"status": "passed",
"error": null,
"screenshot_url": null
}
],
"failure_summary": null,
"full_log_url": null
}assert_list
List saved scenarios visible to the API key.
Input:
project_id?: stringcursor?: stringlimit?: number
project_id is currently reserved for future filtering support. The current API lists all scenarios visible to the API key.
Returns:
{
"scenarios": [
{
"id": "scenario_123",
"name": "Login flow",
"project_id": null,
"last_run_status": "passed",
"last_run_at": "2026-03-31T10:00:00.000Z",
"url": "https://example.com/login"
}
],
"next_cursor": null
}Errors
Errors are returned as structured JSON:
{
"error": {
"code": "INVALID_API_KEY",
"message": "The ASSERT_API_KEY is invalid or missing.",
"field": null
}
}Common codes:
INVALID_API_KEYSCENARIO_NOT_FOUNDRUN_NOT_FOUNDVALIDATION_ERRORUPSTREAM_ERROR
License
MIT
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