Connect WebRun Browser Automation and your agent gets 21 tools, among them browser_task, create_agent, create_session. It answers at https://api.webrun.ai/mcp over streamable HTTP, and it listed its tools to an anonymous client, so no sign-in was needed for that. Our probes reached it 10 of 10 times since 4 September 2026; the last check, on 17 October 2026, succeeded.
Run multi-step tasks in a real Chrome browser: persistent environments, live view, human takeover.
Description as the publisher wrote it.
| Tool | What it does |
|---|---|
browser_task | Execute 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 navig Inputs: prompt, startingUrl, maxDuration, outputType, outputSchema, webhook |
create_agent | Create a scheduled agent — a recurring or one-time automation that runs on a timer in a real Chrome browser. Two modes. WORKFLOW MODE: pass workflowId plus a schedule — the platform copies everything else (prompt, starting URL, output contr Inputs: workflowId, schedule, expiresAt, name, variables, prompt |
create_session | Create 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-par Inputs: mode, task, environmentId, policyId, debugC, proxy |
create_workflow | Create a new saved workflow. READINESS BAR: if you could not execute the prompt yourself as a human in a browser — which site, which records, which fields, delivered where, matched to each recipient how — it is not ready; first collect the |
get_task_status | Check the status of a task previously started in a browser session. Use to poll for completion or detect guardrails. Read-only: reports on the task without affecting it. Inputs: sessionId, taskId |
get_workflow | Full detail of one workflow: prompt template, {{variables}} and their defaults, trigger + schedule, run settings (starting URL, timezone, model, proxy, output contract, files), memory state, and any pending logins. Identify by workflowId or Inputs: workflowId, title |
guardrail_response | Respond to a guardrail trigger when the browser agent needs human input (credentials, clarification, approval). The response is handed to the live agent, which continues acting on it. Inputs: sessionId, response, newState, files |
list_agents | List the account's scheduled agents (cron deployments): schedule, status, next/last run, and whether each is standalone or deployed from a workflow. Scoped to the bound environment when this connection has one; pass scope "all" for every en Inputs: scope |
list_environments | List available browser environments (persistent profiles) for this account. Returns environment IDs needed for persistent sessions in browser_task or create_session. Read-only. NOTE: workflows and agents use the connection's environment aut |
list_sessions | List all active browser sessions for this account. Read-only. |
list_workflows | List the user's saved workflows (prompt-templated browser automations, docs.webrun.ai). Shows each workflow's title, schedule, {{variables}}, and run stats. Scoped to the bound environment when this connection has one; pass scope "all" for Inputs: scope |
pause_agent | Pause an active scheduled agent — it stops firing until resumed. Get agentId from list_agents. Inputs: agentId |
pause_session_task | Pause the task currently running in a browser session. Resume it later with resume_session_task. Inputs: sessionId |
resume_agent | Resume a paused scheduled agent — recomputes its next run and reactivates it. A completed work-list agent restarts with a fresh full pass. Refuses if the agent's expiry has passed (extend it on the dashboard first). Inputs: agentId |
resume_session_task | Resume a previously paused task in a browser session. Inputs: sessionId |
screenshot | Capture a screenshot of the current browser page in an active session. Returns the screenshot as an inline image. Read-only. Inputs: sessionId |
send_task | Send 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. Inputs: sessionId, prompt, startingUrl, maxDuration, maxInputTokens, maxOutputTokens |
stop_session_task | Cancel the task currently running in a browser session, keeping the session alive for new tasks. Inputs: sessionId |
terminate_session | End a browser session and free its resources. The session and any running task cannot be resumed afterwards. Inputs: sessionId |
trigger_workflow | Run a workflow now in its deployed environment. This is the ONLY correct way to run or TEST a saved workflow — a run started here carries the workflow's rules, tracking and memory; browser_task/create_session runs do not. When the user says Inputs: workflowId, title, variables, force |
update_workflow | Update an existing workflow. Supply workflowId plus only the fields to change: prompt, trigger, schedule, run settings, variables, presentation. Object and array fields are replaced whole; pass null to clear an optional field. Renaming via |
Every block below points at https://api.webrun.ai/mcp. Pick your client and copy.
claude mcp add --transport http webrun-browser-automation https://api.webrun.ai/mcp
{
"mcpServers": {
"webrun-browser-automation": {
"command": "npx",
"args": ["-y", "mcp-remote", "https://api.webrun.ai/mcp"]
}
}
}{
"mcpServers": {
"webrun-browser-automation": {
"url": "https://api.webrun.ai/mcp"
}
}
}{
"servers": {
"webrun-browser-automation": {
"type": "http",
"url": "https://api.webrun.ai/mcp"
}
}
}{
"context_servers": {
"webrun-browser-automation": {
"url": "https://api.webrun.ai/mcp"
}
}
}{
"mcpServers": {
"webrun-browser-automation": {
"serverUrl": "https://api.webrun.ai/mcp"
}
}
}{
"mcpServers": {
"webrun-browser-automation": {
"url": "https://api.webrun.ai/mcp"
}
}
}name: WebRun Browser Automation
version: 0.0.1
schema: v1
mcpServers:
- name: WebRun Browser Automation
type: streamable-http
url: https://api.webrun.ai/mcp{
"mcpServers": {
"webrun-browser-automation": {
"httpUrl": "https://api.webrun.ai/mcp"
}
}
}{
"mcpServers": {
"webrun-browser-automation": {
"type": "http",
"url": "https://api.webrun.ai/mcp"
}
}
}{
"mcpServers": {
"webrun-browser-automation": {
"url": "https://api.webrun.ai/mcp"
}
}
}goose://extension?url=https%3A%2F%2Fapi.webrun.ai%2Fmcp&type=streamable_http&id=webrun-browser-automation&name=WebRun%20Browser%20Automation
It answered our last check on 17 October 2026 in 462 ms. Over 10 checks since 4 September 2026 it answered 10. Status here comes from Neuronto's own probes, not from the publisher.
Yes. It is published by webrun.ai and served from api.webrun.ai, the vendor's own domain: https://api.webrun.ai/mcp.
21, as returned by the server's own tools/list on 9 September 2026: browser_task, create_agent, create_session, create_workflow, get_task_status, get_workflow, guardrail_response, list_agents, and 13 more.
It answered our last check on 17 October 2026 in 462 ms. Over 10 checks since 4 September 2026 it answered 10.
Put the server under mcpServers in ~/.cursor/mcp.json with the URL https://api.webrun.ai/mcp. The exact JSON is above, with the same setup for Claude Code, Claude Desktop, VS Code, Windsurf, Zed, Gemini CLI and the rest.
It listed its tools to an anonymous client, so reading the tool list needs no key. Individual tools can still ask for credentials in their own inputs.
Publisher: ai.webrun. Endpoint host: api.webrun.ai. ARD identifier: urn:air:ai.webrun:mcp:webrun.
First indexed 31 August 2026. The tools are exactly what the server returned; nothing on this page
is inferred from its name. Ranking in Neuronto search is never for sale.