Brightdata MCP vs Supadata
A side-by-side look at the Brightdata MCP and Supadata MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
Verdict: choose Brightdata MCP for search & data extraction work as a local process; choose Supadata for search & data extraction as a local process. You can also run both side by side in one mcpServers block.
Which MCP server should you choose?
Choose Brightdata MCP when
- You need dedicated capabilities in the Search & Data Extraction domain.
- You prefer a local stdio subprocess transport.
- Its auth model fits you: API key required.
- You have the keys it needs:
API_TOKEN. - You want tools like
search_engine, scrape_as_markdown, search_engine_batch.
Choose Supadata when
- You need dedicated capabilities in the Search & Data Extraction domain.
- You prefer a local stdio subprocess transport.
- Its auth model fits you: API key required.
- You have the keys it needs:
SUPADATA_API_KEY. - You want tools like
supadata_transcript, supadata_check_transcript_status, supadata_scrape.
Feature & specification comparison
Rows where the two servers differ are marked.
| Spec | ||
|---|---|---|
| Category | Search & Data Extraction | Search & Data Extraction |
| Quality signal | 73/100 · Great | 67/100 · Great |
| Install command | Confirmed | Confirmed |
| Transport | Local subprocess (stdio) | Local subprocess (stdio) |
| Auth | API key required | API key required |
| Pricing | Freemium | BYOK (pay the provider) |
| Required env vars | API_TOKEN | SUPADATA_API_KEY |
| Verified owner | Community listing | Community listing |
| GitHub stars | 2,686 | 63 |
| Directory activity | 5 views 0 installs 0 upvotes | 1 views 0 installs 0 upvotes |
| Tools | 11 | 9 |
| Full listing | View Brightdata MCP | View Supadata |
Tools & capabilities
Brightdata MCP tools 11
search_engineScrape search results from Google, Bing or Yandex. Returns SERP results in JSON or Markdown (URL, title, description),Ideal forgathering current information, news, and detailed search results.scrape_as_markdownScrape a single webpage URL with advanced options for content extraction and get back the results in MarkDown language. This tool can unlock any webpage even if it uses bot detection or CAPTCHA.search_engine_batchRun multiple search queries simultaneously. Returns JSON for Google, Markdown for Bing/Yandex.scrape_batchScrape multiple webpages URLs with advanced options for content extraction and get back the results in MarkDown language. This tool can unlock any webpage even if it uses bot detection or CAPTCHA.discoverSearch the web and rank results by AI-driven relevance. Returns scored results with title, description, and URL. Supports intent-based ranking, geo-targeting, date filtering, and keyword filtering.search_scrapersFind a Bright Data pre-built scraper (Web Scraper API, 1,200+ sites) for a site or data type, e.g. "amazon reviews" or "linkedin.com". Returns dataset_id, name, domain and collection_methods. Next: call get_scraper_details with a dataset_id and one method.get_scraper_detailsShow the scraper description, input fields, example input and main output fields for one method. Call before run_scraper and build the input from sample_input or input_fields. Records may contain more fields than output_fields lists.run_scraperRun a scraper method. input is a list of objects shaped like sample_input from get_scraper_details, one per URL or query. collect_by_url returns one record per input; discover_by_* methods return up to limit_per_input records per input, and every record is billed. Waits up to 45 seconds; if still running it returns snapshot_id with status "running": then poll get_scraper_progress and call get_scraper_results when ready. Records with an "error" field explain failed inputs.get_scraper_progressStatus of a run: starting, running, ready, failed or canceled.get_scraper_resultsRecords of a finished run. Returns status "running" if not ready yet.refresh_scrapersReload the scraper list now instead of waiting for the daily refresh.
Supadata tools 9
supadata_transcriptGet the transcript (what is said) of a video or post on YouTube, TikTok, Instagram, X (Twitter) or Facebook, or of an audio or video file URL. Not for ordinary web pages: use supadata_scrape for those. For large files, returns a jobId instead of the transcript directly - use supadata_check_transcript_status with that jobId to poll for results.supadata_check_transcript_statusCheck transcript job status and retrieve results. Returns status: "queued", "active", "completed", or "failed". If status is not "completed" or "failed", call this tool again after a few seconds with the same id.supadata_scrapeFetch a single web page and return its main content as Markdown, along with the page title, description and the links it contains. Use this to read or summarize a specific URL. To find which pages exist on a site, use supadata_map; to fetch many pages at once, use supadata_crawl. Costs 1 credit.supadata_mapList the URLs found on a website without fetching their content. Use this to discover a site's pages before choosing which ones to read with supadata_scrape, or to check a site's size before starting a supadata_crawl. Costs 1 credit.supadata_crawlCreate a crawl job to extract content from all pages on a website. Not available on every Supadata plan; if it returns upgrade-required, tell the user rather than retrying. Returns a jobId - use supadata_check_crawl_status with that jobId to poll for results.supadata_check_crawl_statusCheck crawl job status and retrieve results. Returns status: "scraping", "completed", "failed", or "cancelled". If status is "scraping", call this tool again after a few seconds with the same id.supadata_metadataFetch metadata from a media URL (YouTube, TikTok, Instagram, Twitter/X, Facebook). Returns platform info, title, description, author details, engagement stats, media details, tags, and creation date. Use this for details about a video or post; use supadata_transcript for what is said in it.supadata_extractExtract structured data from a video URL using AI. Provide a prompt for what to extract, a JSON Schema for the output format, or both. Returns a jobId for async processing - use supadata_check_extract_status with that jobId to poll for results.supadata_check_extract_statusCheck extract job status and retrieve results. Returns status: "queued", "active", "completed", or "failed". If status is not "completed" or "failed", call this tool again after a few seconds with the same id.
Ready-to-paste client configs
Paste either block (or both) into your client config, e.g. claude_desktop_config.json or ~/.cursor/mcp.json. We only show a config when the install command is confirmed.
Brightdata MCP
{
"mcpServers": {
"brightdata-mcp": {
"command": "npx",
"args": [
"@brightdata/mcp"
],
"env": {
"API_TOKEN": "YOUR_API_TOKEN_HERE"
}
}
}
}
Supadata
{
"mcpServers": {
"supadata": {
"command": "npx",
"args": [
"-y",
"@supadata/mcp"
],
"env": {
"SUPADATA_API_KEY": "YOUR_SUPADATA_API_KEY_HERE"
}
}
}
}
Frequently asked questions
Brightdata MCP is categorized under Search & Data Extraction and uses a local stdio subprocess. Supadata belongs to Search & Data Extraction and uses a local stdio subprocess. Pick Brightdata MCP for search & data extraction work and Supadata for search & data extraction.
Copy the mcpServers block from the config section on this page into your client's config (for example claude_desktop_config.json or ~/.cursor/mcp.json), then fully restart the client.
Brightdata MCP is listed as freemium — a free tier with paid plans. Auth: api key required. Supadata is bring-your-own-key: usage is billed by the API provider you supply a key for. Auth: api key required. If a server needs environment variables such as API keys, define them under the env key in your client's MCP config.
Yes. MCP clients support multiple servers: add brightdata-mcp and supadata as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, Brightdata MCP has a quality signal of 73/100 (Great) with 5 views, 0 installs and 2,686 GitHub stars. Supadata has 67/100 (Great) with 1 views, 0 installs and 63 GitHub stars.