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Quanticdata MCP Server

answering

Quanticdata MCP is answering right now. Last checked 15 min ago. 699 installs a week from npm. It exposes 25 tools. Last commit 28 Aug 2026.

Live web access for agents: scrape, SERP search, crawl/map, 74 collectors, datasets, proxies.

Installs per day peak 129 · avg 5
a month agotoday
Uptime history 4 days of history
4 days agonow
100.0%
Uptime 24h
91 of 91 checks
25
Tools
read from the server
147 ms
Response time
average over 24h
699
Installs / week
npm and PyPI

What the code does

We read the source, 12 h ago · tools taken from the live server · rules 3dff92dd89df

Capabilities

What this server is able to do. For an MCP server this is often the job itself — a terminal server runs commands because that is what it is for. Listed so you know what you are plugging in, not as an accusation.

Runs an external command standalone/smoke-test.mjs:12
const child = spawn(process.execPath, [server], { stdio: ["pipe", "pipe", "inherit"] });

Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.

This code can reach further than it looks

We found places where it runs commands, builds paths or queries from values it is given. None of that is a flaw by itself — it becomes one when the code changes, and code changes quietly between releases. We re-read it on every one.

Three servers free · no card

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 15 min ago.

run in your terminal
claude mcp add quanticdata-mcp --transport http https://api.quanticdata.io/mcp
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "quanticdata-mcp": {
      "url": "https://api.quanticdata.io/mcp"
    }
  }
}
~/.codex/config.toml
[mcp_servers.quanticdata-mcp]
url = "https://api.quanticdata.io/mcp"
.cursor/mcp.json
{
  "mcpServers": {
    "quanticdata-mcp": {
      "url": "https://api.quanticdata.io/mcp"
    }
  }
}
.vscode/mcp.json
{
  "mcpServers": {
    "quanticdata-mcp": {
      "url": "https://api.quanticdata.io/mcp"
    }
  }
}

Available tools 25

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

batch
batch
Scrape many URLs asynchronously with shared options. Returns a job id — poll with batch_status. For SEO/status audits over many pages set mode 'summary': items carry metadata only (title, description, canonical, contentLength) instead of full page content.
batch_status
Poll a batch job for progress and per-URL results. Polls are incremental: pass the previous response's `nextCursor` as `since` to receive only the items completed after your last poll. Items omit page content by default — set include_content true only when you actually need the text.
bulk
search_bulk
Paginate ONE search query asynchronously and merge deduplicated organic results. Page-one AI Overview/PAA/Knowledge Graph/answer enrichments are retained; set render:true to request those Google JS blocks. Billed per page actually fetched, with unavailable pages refunded.
search_bulk_status
Poll a bulk search job for progress and merged organic results. Polls are incremental: pass the previous response's `nextCursor` as `since` to receive only the organic results gathered after your last poll.
collector
collector_run_status
Fetch a Collector run by run_id: status (queued|running|done|failed), result count, cost, partial flag and the result rows. Use after run_collector returned 202/async. Pass format 'csv' to get the rows as CSV text.
run_collector
Run a Collector by slug with a semantic input (see list_collectors for each collector's inputSchema and example). Short runs return the rows inline; long runs return 202 with a run_id + statusUrl — poll with collector_run_status. Results are billed per delivered row (never for failures). Set `async` true to force background execution.
crawl
crawl
Start an asynchronous BFS crawl of a site from a seed URL, converting each page to Markdown. Returns a job id — poll with crawl_status.
crawl_status
Poll a crawl job for progress and the pages crawled so far. Polls are incremental: pass the previous response's `nextCursor` as `since` to receive only the pages crawled since your last poll. Pages omit their content by default — set include_content true only when you actually need the text (a large crawl's full content can be hundreds of KB).
dataset
create_dataset
Build a structured dataset from a plain-language prompt. Quantic AI plans the search queries, searches Google/Bing/DuckDuckGo, maps the sites it finds and scrapes them into validated rows (CSV/JSON). Returns a job id — poll with dataset_status. Billed per delivered, validated record (email/phone fields cost extra, only when found); the run never exceeds limits.max_cost_usd, and the unspent budget is refunded.
dataset_status
Poll a dataset job for progress, the collection trace (steps) and the rows so far. Polls are incremental: pass the previous response's `nextCursor` as `since` to receive only rows delivered after your last poll. Set mode 'summary' to omit rows and get only progress + steps (light poll). When status is completed, the response includes signed CSV/JSON download URLs.
generate
generate_parser
Look at a page ONCE with an LLM and get back CSS selectors that extract the fields you asked for. Pass the returned `parser` as the `extract` argument on every later scrape of that same layout and no AI runs again — it becomes a plain, free, deterministic extraction. Use this instead of ai_prompt whenever you will scrape more than a couple of pages of the same shape. Every selector is run against the page before being returned, so `report`/`coverage` tell you which fields are actually reliable.
generate_proxies
Generate ready-to-use proxy endpoint strings (credentials included) from one of the account's active proxy services — any type: residential, mobile, datacenter, ISP, IPv6. Supports geo targeting (country/state/city, ISP or ASN where the plan allows it), rotating or sticky sessions, HTTP or SOCKS5, and several output formats. Use list_proxies first to get the orderId, and proxy_locations for valid targeting codes. The returned strings plug straight into any HTTP client, e.g. curl -x.
parser
list_parser_presets
List your stored parser presets with their version, health stats and changelog.
parser_preset_stats
How well a stored parser is still working: success rate per field, mean coverage over the recent runs, and whether it now counts as decayed (i.e. the site probably changed).
and
search_and_read
Search the live web, fetch the top organic pages as clean Markdown, and return citation-ready numbered sources plus one token-bounded `context` string ready for an AI prompt. Use this when the goal is answering/researching, and use `search` when raw SERP structure or a specialized vertical is needed.
collectors
list_collectors
List the ready-made Collectors: paid, versioned scrapers you run with a semantic input (keyword + location, place id, product id, domain…) instead of URLs — e.g. web_search, search_images, search_videos, keyword_ideas, amazon_search, amazon_product, ebay_search, aliexpress_search, linkedin_jobs, indeed_jobs, reddit_posts, youtube_search, youtube_channel, instagram_profile, tiktok_profile, tiktok_video, linkedin_profile, linkedin_company, zillow_search, zillow_property, app_store_apps, app_store_reviews, google_play_apps, google_maps_places, place_reviews, google_jobs, google_news, google_shopping, product_offers, hotels, google_flights, google_events, google_trends, google_autocomplete, google_lens, youtube_video, ebay_product, flipkart_search, idealista_search, kleinanzeigen_search, autotrader_search, github_repos, hacker_news, coingecko_coins, wikipedia_articles, yahoo_finance, stackoverflow, steam, npm_packages, sec_filings, defillama, wayback_machine, clinical_trials, certificate_transparency, wikidata, nvd_cve, openfda, openalex, pypi_packages, exchange_rates, gleif_lei, docker_hub, crates_io, world_bank, openlibrary_books, arxiv_papers, weather_forecast, whois_domain, dns_records, itunes_search, local_business_leads, site_contacts, company_profile, business_directory. Returns each collector's slug, input/output schema, example input, price per delivered result and current health. Billing is pay-per-success: only delivered rows are charged.
heal
heal_parser_preset
Regenerate a preset's selectors now (the manual trigger for the automatic repair). Refetches the source page and adopts new selectors ONLY if they extract more than the current ones — a heal that finds nothing better leaves the preset untouched and is not billed.
map
map
Discover a site's URLs fast (robots.txt sitemaps + /sitemap.xml + homepage links) without a full crawl. Returns up to `limit` URLs (default 100) plus the site-wide `total` and a per-section `summary` (e.g. '/blog': 1988) so you see the site's shape without the full list. Narrow with `search` (substring filter — the primary way to find specific pages) or set group_by 'path' for the path tree with counts instead of URLs.
proxies
list_proxies
List the account's proxy services of every type — Residential Basic/Premium/Private, Mobile, Mobile V2, Datacenter (static or traffic-based), ISP, IPv6 — with plan type, bandwidth left, expiry, whitelisted IPs and the orderId to pass to generate_proxies. Call this first to see which proxy plans are available.
proxy
proxy_locations
Discover valid geo-targeting values for a proxy plan type before calling generate_proxies: countries, states, cities, ASNs, or the full location tree (countries → regions → cities → ISPs). Use level 'tree' for Residential Premium / Mobile V2 slugs and ISP codes, or for the static datacenter gateway list; note the tree can be large.
save
save_parser_preset
Store a generated parser under a name so it can be reused by id. Scrape later with scrape's `preset_id` instead of repeating the selectors, and every run is scored per field — when the recent success rate decays (the site redesigned), the preset regenerates itself from `source_url` and bumps a version. Give it a source_url whenever you can: without one it can never self-heal.
scrape
scrape
Scrape a single web page through a residential proxy and return it as clean Markdown (or HTML/text). Uses a real Chrome TLS fingerprint by default and only spins up a headless browser if the page is bot-challenged. Optionally run structured extraction (CSS selectors) or AI extraction (natural-language prompt). Markdown keeps the complete page by default (content_mode 'smart': everything except nav/footer/cookie chrome, with GFM tables and absolutized links); to inspect a page's raw no-JS/SEO fallback use format 'html'.
search
search
Run structured Google, Bing or DuckDuckGo searches through a residential proxy. Bing supports web, shopping, images, news, videos, places/maps and autocomplete over HTTP, including Copilot AI answers and citations when Bing returns them. Google web search also parses rich blocks directly from its HTTP response.
seo
seo_audit
Audit a URL's SEO in one call: fetches it twice — as a pure HTTP bot (no JS) and fully rendered — and returns both views (title, description, canonical, h1, word count) plus the diff (JS-only content, changed title/description, canonical missing without JS) and bot-facing meta (robots, Open Graph, JSON-LD types). Use this instead of scraping manually when checking how a page indexes.
whitelist
whitelist_ip
Manage IP-auth whitelisting on a proxy service (Residential Basic, Datacenter, ISP, IPv6, Mobile): add or remove an IP, or list the current entries. A whitelisted machine uses the proxies without username/password — required for the Mobile V2 IP-auth proxy list. Residential Premium/Private use user:pass auth and don't need this.

Endpoints

URLTransportStateLatencyChecked
https://api.quanticdata.io/mcp streamable-http answering 204 ms 15 min ago

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Quanticdata MCP — questions

Answers built from our own checks of this server.

What can Quanticdata MCP do?
It exposes 25 tools, read directly from the server on our last check. Among them: batch, batch_status, collector_run_status, crawl, crawl_status, create_dataset and 19 more. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →
What is Quanticdata MCP mostly used for?
Its tools cluster around crawl, parser and batch. That is what this server is built to work with — the grouping comes from the actual tool names, not from a category we assigned.
Is Quanticdata MCP working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 91 of 91 checks got a reply (100.0%), average response time 147 ms. The bar chart above shows every period we have measured.
How do I connect Quanticdata MCP?
Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.
Does Quanticdata MCP need an API key?
No. Quanticdata MCP completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 25 of them are readable on this page. This is what we observed, not what the docs claim.
How fast is Quanticdata MCP?
It answers our handshake in 147 ms on average, which is faster than 81% of all working MCP servers we measure. That puts it in the quick quarter of the ecosystem. The comparison comes from our own checks across the whole registry, every 15 minutes.
How many people use Quanticdata MCP?
The npm package quanticdata-mcp was installed 699 times in the last week. We show installs rather than GitHub stars on purpose: a star is a bookmark, an install is someone actually running it.
Is Quanticdata MCP open source?
Yes — it is published under the MIT licence, written in TypeScript and 0 stars on GitHub. The source link is on this page, so you can read exactly what it does with your data before you connect it.