me.openbrowser/openbrowser-ai

AI browser automation. Write async Python to navigate, click, type, and extract data.

What does this entry provide?

me.openbrowser/openbrowser-ai is an MCP server entry in ChatHome Skills, sourced from Official MCP Registry and scored 73/100. 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 me.openbrowser/openbrowser-ai 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: 73/100
Install method: pypi
Repo: billy-enrizky/openbrowser-ai
Repo updated: Sep 21, 2026

Install command

uvx openbrowser-ai==0.1.54

Install method: pypi

Review the upstream source before running this command.

GitHub project

Quality

Repo stars

Repo updated

Sep 21, 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": "2026-09-21T22:57:43.305367Z",
      "publishedAt": "2026-09-21T22:57:43.305367Z",
      "statusChangedAt": "2026-09-21T22:57:43.305367Z"
    }
  },
  "server": {
    "name": "me.openbrowser/openbrowser-ai",
    "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
    "version": "0.1.54",
    "packages": [
      {
        "version": "0.1.54",
        "transport": {
          "type": "stdio"
        },
        "identifier": "openbrowser-ai",
        "runtimeHint": "uvx",
        "registryType": "pypi",
        "packageArguments": [
          {
            "name": "--mcp",
            "type": "named"
          }
        ],
        "environmentVariables": [
          {
            "name": "OPENBROWSER_HEADLESS",
            "default": "true",
            "description": "Run browser in headless mode (true/false)"
          },
          {
            "name": "OPENBROWSER_ALLOWED_DOMAINS",
            "description": "Comma-separated list of allowed domains (empty for no restrictions)"
          },
          {
            "name": "OPENBROWSER_USER_DATA_DIR",
            "description": "Optional explicit Chrome profile directory. Omit for an isolated profile per MCP server instance; concurrent owners of one explicit profile are rejected"
          },
          {
            "name": "OPENBROWSER_STORAGE_STATE",
            "description": "Optional JSON file used as a one-time seed for cookies plus localStorage in managed MCP profiles; later updates are saved to the active profile copy"
          },
          {
            "name": "OPENBROWSER_COMPACT_DESCRIPTION",
            "default": "false",
            "description": "Use minimal tool description (~500 tokens instead of ~1,430)"
          },
          {
            "name": "OPENBROWSER_MAX_OUTPUT",
            "default": "10000",
            "description": "Maximum output characters per code execution (default: 10000)"
          },
          {
            "name": "ANONYMIZED_TELEMETRY",
            "default": "true",
            "description": "Enable anonymized usage telemetry (true/false)"
          }
        ]
      }
    ],
    "repository": {
      "url": "https://github.com/billy-enrizky/openbrowser-ai.git",
      "source": "github"
    },
    "description": "AI browser automation. Write async Python to navigate, click, type, and extract data."
  }
}

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