brightdata-mcp
A powerful Model Context Protocol (MCP) server that provides an all-in-one solution for public web access.
Runs with mockssource: GitHubhomepageJavaScriptMITcommit d33cfa5da4a2
JavaScript, MIT licensed. The project labels itself: ai agents, ai integrations, anti bot detection, browser automation, data collection, data extraction, llm and mcp.
brightdata-mcp runs, with stand-ins for the services it depends on. An Argusic agent installed it in 5 minutes and hit 1 error and fixed every one without help on a clean machine with no GPU, and the whole session was recorded.
The Bright Data MCP server installs and all 21 unit tests pass under Node.js v22.12.0; the server starts listening when API_TOKEN is set.
What the agent ended up with on a clean machine, in its own words. How this is measured
Measured by Argusic on a fresh machine every time. Every number links to its evidence. Argusic Score 92 of 100 (the mean of this project's run scores).
At a glance
Subject data from GitHub, linked at the top of this page, refreshed . Test data by Argusic (CC BY 4.0); every number links to a run page with the full log, the recording, and their sha256 hashes.
What was measured
From the run that decided this verdict. Every line is a recorded value, not an estimate.
What went wrong, in the agent's own words
The agent's own words, worst first, never rewritten into advice.
- System Node.js v18.19.1 is too old for fastmcp dependency undici (requires >=20.18.1), causing ReferenceError: File is not defined at import4 minutes
- Install time
- 5 minutes
- Cold machine to finish
- 4 minutes
- Errors hit and fixed
- 1 hit, 1 fixed with no human help
- How the result was proved
- npm test exited 0, 21 passed, 0 failed across 6 test files
- Model tokens used
- 34,306
- Exact commit tested
- d33cfa5da4a2
- Container image
- sha256:cdd920bce783
What was not measured
The other half, so you can see exactly how far this evidence goes. A gap is printed as a gap and never filled in.
- Peak GPU memory
- this ran on a CPU machine, so there was no GPU to sample
- Behaviour over a long run
- each attempt uses the smallest documented settings and a fixed time budget, so this measures whether it runs, not how it holds up under load
- Behaviour against real services
- this run was verified against stand-in services only
The end of the recording
The last lines of the terminal session that decided this verdict, exactly as they were recorded.
succeeded in 0ms:
-rwxr-xr-x 1 runner runner 119801632 Dec 2 2024 /home/runner/node-v22.12.0/bin/node
v22.12.0
All 21 tests pass with Node.js v22.12.0. The issue was the container's system Node.js v18.19.1 bein…
exec
/bin/sh -lc "echo '{\"install_succeeded\": true, \"launch_succeeded\": true, \"install_minutes\": 5…
succeeded in 0ms:
{"install_succeeded": true, "launch_succeeded": true, "install_minutes": 5, "errors": [{"msg": "Sys…
All 21 tests pass with Node.js v22.12.0. The issue was the container's system Node.js v18.19.1 bein…
tokens used
34,306
All 21 tests pass with Node.js v22.12.0. The issue was the container's system Node.js v18.19.1 bein…Replay the whole session, every command from a clean machine to this point.
How it was tested
One agent, one container, no human help. It installs the project the way its own documentation says to, runs it, and fixes what breaks. Everything below is recorded as it happened: the terminal session, the log and the exact commit. The full method.
Strengths and limits
Measured facts, not opinions. How this is written.
What went well
- Installed in 5 minutes.
- Recovered from all 1 error without a human stepping in, which says the failures are documented well enough to solve.
- Licensed MIT, as reported by its host.
What did not, or is not known
- Only reached a running state against stand-in services, so nothing here proves it works against the real ones.
- Measured once so far. A single attempt shows it can run, not that it runs reliably.
Of the 38 ai-agents projects Argusic has installed and timed, brightdata-mcp was the 19th fastest to reach a running state, and 27 of 38 reached one at all.
Also tested, in the same area
Every one of these was installed and run by Argusic on a clean machine. Nothing appears here that was not tested.
Run history
| tested by | attempt | outcome | score | cost USD | when |
|---|---|---|---|---|---|
| Argusic Runner | 1/3 | Runs with mocks | 92.00 | 0.02 |
Topics (from GitHub)
ai-agentsai-integrationsanti-bot-detectionbrowser-automationdata-collectiondata-extractionllmmcpmcp-servermodelcontextprotocolscrapingscraping-toolsstructured-dataweb-crawlingweb-dataweb-scraping
Embed the badge
Markdown for the project README. It links back here; terms on the terms page.
[](https://argusic.com/subject/brightdata-mcp)Questions
- Does brightdata-mcp run?
- brightdata-mcp runs, with mocks standing in for external services. Argusic installed and launched it on a clean machine in 5 minutes, hitting 1 error on the way, and recorded the session.
- How did Argusic test brightdata-mcp?
- On a fresh, disposable machine, with every command recorded and the repository pinned at commit d33cfa5da4a2. One attempt is recorded, and the full method is on the methodology page.
- What did it cost to test brightdata-mcp?
- The run that produced this verdict cost $0.02: real compute and model cost, not a list price per million tokens. It is recorded on that run's page.
- How long does brightdata-mcp take to install?
- 5 minutes in the run that decided this verdict, from a clean machine to a running state. That is one measured attempt, not an average.
- Does brightdata-mcp need a GPU?
- Not to start. Argusic reached a running state on a machine with no GPU.
- What goes wrong when installing brightdata-mcp?
- 1 thing broke in the recorded run, and 1 were fixed without human help. Each one, and the time it cost, is listed on this page.
- How does brightdata-mcp compare with the alternatives?
- Of the 38 ai-agents projects Argusic has installed and timed, brightdata-mcp was the 19th fastest to reach a running state, and 27 of 38 reached one at all.
- Where is the evidence for brightdata-mcp?
- The recorded run is on this page, each linking to its full log and terminal recording, stored with a sha256 fingerprint so it cannot be quietly altered.