WebRun Browser Automation
ai.webrun/webrun · 1.0.2
Run multi-step tasks in a real Chrome browser: persistent environments, live view, human takeover.
Nobody here has read this server's code, because it publishes none. The description above is the maker's own, from the registry. A connection test shows whether it answers and what tools it says it has; it never calls a tool, so it cannot show what one does with your data.
Where it sits in the directory's order
What can be seen from outside, weighed as the directory publishes.
Observable signals: 60 of 100 points (at most 60 here)
| Input | Points | What was seen |
|---|---|---|
| Source published | held at 0 | No entry here publishes source: that is what puts it in this directory. |
| Licence stated | held at 0 | With no files, there is nothing for a licence to be stated in or held against. |
| Advisory state | held at 0 | Advisory databases index packages, and these entries publish none, so there is nothing to look up. |
| Auth declared | 15 of 15 | The registry entry declares a key or a token. |
| Latest connection test reached it | 20 of 20 | The latest test had its handshake answered. |
Where it answers
https://api.webrun.ai/mcpstreamable-httpAuthorizationrequired, secret: WebRun API key as a bearer token.
Connection test
The MCP handshake, then a request for the tool list, with no key and no data of yours. Run nightly, and by anyone, at most once every ten minutes per server.
It completed the handshake and listed 21 tools.
- Protocol
- 2025-06-18
- Calls itself
- webrun 2.0.0
- Handshake time
- 55 ms
- HTTP status
- 200
The tools it lists (21, as of 5 days ago)
The tool-description rules found nothing in these descriptions. They look for instructions aimed at a model and for hidden characters; they cannot see what a tool does when it runs.
browser_taskExecute a browser automation task in a real Chrome browser running in a WebRun cloud environment (docs.webrun.ai). Creates a session, runs the task, and auto-terminates. Best for simple one-off tasks that no saved workflow covers. May navigate, fill forms, and submit data on third-party websites as the task requires. Do NOT use this to run or test a saved workflow — use trigger_workflow instead: only a workflow run carries the workflow's own rules, tracking and memory, so a session run will behave differently. If the user says "run it", "run it once", "test it" or "try it" about a workflow, th
create_sessionCreate a persistent session in a real Chrome browser running in a WebRun cloud environment (docs.webrun.ai), for multi-step interactive work. Returns a sessionId for subsequent commands. With an initial task the browser may act on third-party websites immediately. Do NOT use this to run or test a saved workflow — use trigger_workflow instead: only a workflow run carries the workflow's own rules, tracking and memory, so a session run will behave differently.
send_taskSend a new task to an existing browser session (from create_session). The real Chrome browser may navigate, fill forms, and submit data on third-party websites as the task requires.
pause_session_taskPause the task currently running in a browser session. Resume it later with resume_session_task.
resume_session_taskResume a previously paused task in a browser session.
stop_session_taskCancel the task currently running in a browser session, keeping the session alive for new tasks.
How this entry becomes a listing
For the maker. The catalogue lists what it can read, and this server publishes nothing to read yet. There are two routes, and only the first is open today.
Publish the source Open today
- Put the server's source in a public repository on github.com, with a licence.
- Keep a server.json in that repository naming this server,
ai.webrun/webrun, and declare the repository in it:"repository": { "url": "https://github.com/owner/repo", "source": "github" }, adding"subfolder"when the server lives in a folder. - Publish that version to the official MCP registry.
- The nightly registry sweep records the declaration. This page stays, dated, and says the source is declared but not yet read.
- The catalogue reads declared repositories at a pinned commit, in batches run by hand, and lists the servers that meet the batch's rules (among them a server.json at that commit naming the server, an https endpoint and a licence). When it lists this server, this page links to the listing. There is no schedule, so no date can be promised.
List it through the maker studio Not open yet
From the official MCP registry, last updated there 60 days ago. The registry entry · webrun.ai