aihawk_mcp_server vs browser-use

browser-use is much bigger: 118.8k stars against 32.2k. Over the days we have tracked them aihawk_mcp_server moved +1.8% and browser-use +11.4%, so browser-use is growing faster right now.

browser-use leads on customization and model freedom. aihawk_mcp_server does not take any axis by a clear margin.

Stars and commit dates come from our own daily tracking. The six axes are read off each project's documentation by our review pipeline, so they describe what a project says about itself, not what we measured in its code.

Where they stand today

An anti-detect, human-like web-browsing agent that runs locally and drives pages (pointer movement, keystrokes) to avoid captchas and blocks while exposing an MCP server.

Stars
32.2k
Tracked growth
+1.8%
Maturity
●●●●●
Last commit
16h ago
Language
TypeScript
License
MIT
Cost to run
Your OpenRouter key

An open-source browser agent that runs locally and is extensible with custom tools and provider‑prefixed models, enabling reproducible, privacy-friendly web automation.

Stars
118.8k
Tracked growth
+11.4%
Maturity
●●●●●
Last commit
2d ago
Language
Python
License
MIT
Cost to run
Your LLM API key (or run free local models).
0%+11%90 tracked days
feder-cr/aihawk_mcp_serverbrowser-use/browser-use

Six axes, head to head

Each axis runs 0 to 5. The label under a score is what that project's own docs claim, not a category average.

Axisaihawk_mcp_serverbrowser-use
Context depth
How much of your codebase it sees before it answers: the open diff, the diff plus related files, or the whole repository.
●●●●●
Diff only
●●●●●
Diff only
Noise control
How it keeps output volume down — severity thresholds, deduplication, incremental runs over new commits only.
●●●●●
None mentioned
●●●●●
None mentioned
Customization
How far it bends to your team: custom rules, prompts, style guides, per-path config.
●●●●●
Config flags & .env
●●●●●
Custom tools & prompts
Privacy
Whether your code stays on your own infrastructure: fully local, self-hostable, or cloud API only.
●●●●●
Self-hosted run
●●●●●
Fully local capable
Model freedom
Whether you can point it at any provider, or it is wired to one.
●●●●●
OpenRouter + MCP
●●●●●
Bring-your-own / local
Setup ease
What it takes to get a first useful run out of it.
●●●●●
One command + key
●●●●●
API key + install

Which one to pick

Pick aihawk_mcp_server if…

Run locally — when you need a controllable, anti-detect browser agent that simulates human interaction and can be plugged into assistants or a local web UI.

Runs in cli, coding-agent-plugin, web-app. Works with other-fixed.

Pick browser-use if…

Open-source & flexible — pick any LLM (including local models), add custom tools, and run browser automation on your machine.

  • Customization: Custom tools & prompts (5/5 against 3/5)
  • Model freedom: Bring-your-own / local (5/5 against 3/5)
Runs in cli, coding-agent-plugin. Works with byok, openai, anthropic, gemini, local-ollama, other-fixed.

What people want from each one

Questions people ask

Is aihawk_mcp_server better than browser-use?

browser-use leads on customization and model freedom. aihawk_mcp_server does not take any axis by a clear margin. aihawk_mcp_server is worth picking when run locally — when you need a controllable, anti-detect browser agent that simulates human interaction and can be plugged into assistants or a local web UI.

Which of aihawk_mcp_server and browser-use keeps my code private?

aihawk_mcp_server: Self-hosted run (4/5). browser-use: Fully local capable (5/5).

What does each one cost to run?

aihawk_mcp_server: Your OpenRouter key. browser-use: Your LLM API key (or run free local models)..

Full profiles: feder-cr/aihawk_mcp_server and browser-use/browser-use. Everything else in Browser agents.