WebRun Browser Automation

Run multi-step tasks in a real Chrome browser: persistent environments, live view, human takeover.

What does this entry provide?

WebRun Browser Automation is an MCP server entry in ChatHome Skills, sourced from Official MCP Registry and scored 93/100. As a Model Context Protocol server, it exposes tools that MCP-compatible LLM clients such as Claude, Cursor, and Copilot can call directly, extending an agent's reach beyond its built-in capabilities. ChatHome Skills discovered this entry through its daily ingest of official registries and GitHub discovery queries, and re-verifies repository facts, freshness signals, and install metadata on every run. The quality score weighs official-registry presence, a working install command, license clarity, GitHub star trajectory, and repository freshness — the full formula is on the Sources page. The install command above is ready to copy. Review the last-pushed date and repository status before adding WebRun Browser Automation to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.

Snapshot facts

Source: Official MCP Registry
Quality: 93/100
Install method: streamable-http
Repo: Registry only
Repo updated: Aug 8, 2026

Install command

mcp add ai.webrun/webrun https://api.webrun.ai/mcp

Install method: streamable-http

Review the upstream source before running this command.

Source entry

Quality

Repo stars

Repo updated

Aug 8, 2026

How is this score calculated?

Weighted across six dimensions, scored 0-100.
Provenance (25): listed in an official or curated registry.
Installability (25): a runnable install command beats a declared transport, which beats a source checkout.
Maintenance (20): recency of the last push; archived entries score zero here.
Adoption (20): repository stars on a log curve.

MCP manifest

{
  "_meta": {
    "io.modelcontextprotocol.registry/official": {
      "status": "active",
      "isLatest": true,
      "updatedAt": "2026-08-08T05:12:06.889205Z",
      "publishedAt": "2026-08-08T05:12:06.889205Z",
      "statusChangedAt": "2026-08-08T05:12:06.889205Z"
    }
  },
  "server": {
    "name": "ai.webrun/webrun",
    "_meta": {
      "io.modelcontextprotocol.registry/publisher-provided": {
        "ai.webrun": {
          "policies": "https://docs.webrun.ai/concepts/policies",
          "reference": "https://docs.webrun.ai/integrations/mcp-server",
          "guardrails": "https://docs.webrun.ai/concepts/guardrails",
          "quickstart": "https://docs.webrun.ai/getting-started/mcp-quickstart"
        }
      }
    },
    "icons": [
      {
        "src": "https://webrun.ai/WebRun.png",
        "sizes": [
          "512x512"
        ],
        "mimeType": "image/png"
      }
    ],
    "title": "WebRun Browser Automation",
    "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
    "remotes": [
      {
        "url": "https://api.webrun.ai/mcp",
        "type": "streamable-http",
        "headers": [
          {
            "name": "Authorization",
            "value": "Bearer {api_key}",
            "isSecret": true,
            "variables": {
              "api_key": {
                "format": "string",
                "isSecret": true,
                "isRequired": true,
                "description": "WebRun API key (starts with wr_) from https://app.webrun.ai. Append :ENVIRONMENT_ID to attach a persistent environment that keeps its Chrome profile and logins across runs.",
                "placeholder": "wr_xxxxxxxx or wr_xxxxxxxx:ENVIRONMENT_ID"
              }
            },
            "isRequired": true,
            "description": "WebRun API key as a bearer token."
          }
        ]
      }
    ],
    "version": "1.0.2",
    "websiteUrl": "https://webrun.ai",
    "description": "Run multi-step tasks in a real Chrome browser: persistent environments, live view, human takeover."
  }
}

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