Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Description from the maker (original English)
Bulk HTTP status checker: up to 100,000 URLs per job, with redirect chains and response times.
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Works in Claude on the web, desktop and mobile:
https://mcp.bulkurlchecker.com/mcpRun this in your terminal
claude mcp add --transport http bulk-url-checker https://mcp.bulkurlchecker.com/mcpPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"bulk-url-checker": {
"url": "https://mcp.bulkurlchecker.com/mcp"
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"bulk-url-checker": {
"type": "http",
"url": "https://mcp.bulkurlchecker.com/mcp"
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
ChatGPT connects only to servers on the internet:
https://mcp.bulkurlchecker.com/mcpMenu names can differ slightly by plan and over time.
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These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Tool names and descriptions exactly as the server reported them on Nov 7, 2026. The maker wrote them, not us; we show them as plain text.
submit_urlsSubmits a list of URLs to be checked and returns a job_id. Lists of up to about 200 URLs complete inline, waiting up to 60 seconds, and the results are returned directly. Larger lists return immediately with the job_id alone, and their results become available as the job progress
get_job_statusGet the current status and progress of a job.
get_job_resultsFetch paginated results for a job. Each result has the URL, HTTP status code (null if unreachable), response time in ms, and an error message if the check failed.
get_verified_domainsLists the domains this account has proven ownership of. Checks against a verified domain run substantially faster than checks against an unverified one. Verification is interactive, requiring a DNS TXT record or a meta tag, and is done in the web dashboard rather than through thi
get_usageReturns the number of URL checks currently available on this account.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026
The registry name was verified with the GitHub account carlosofscience, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
Responded in 116 ms (HTTP 200)
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Read 5 tool descriptions and found no hidden instructions to the AI
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 3 of 3 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
The registry does not list a required key, though some servers ask you to sign in on first use.
It runs in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.
The GitHub repo last changed –, and the latest version (1.0.1) reached the registry 21 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.
In the same category: Spec Driven Development, Remote Desktop Commander, Qemu MCP
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
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Python client for the Bulk URL Checker API.
Skip the proxy-rotation, rate-limiter, soft-404 detector, and retry classifier you would otherwise spend two weeks building. Submit thousands of URLs, get status codes, redirect chains, and broken-link detection back as plain Python objects. Backed by a managed cloud service with residential proxies and per-domain throttling.
pip install bulkurlchecker
from bulkurlchecker import Client
client = Client(api_key="uck_live_...") results = client.check_urls(["https://example.com", "https://example.org"]) for r in results.results: print(r.url, r.status_code, "BROKEN" if r.is_broken else "ok")
Get an API key at https://app.bulkurlchecker.com/dashboard/api-keys. First 300 URLs are free, no card required.
results = client.check_urls(urls)
results.status # 'completed' | 'paused' | 'failed' | 'cancelled' results.timed_out # True if the wait deadline passed (job still running) results.total_urls # how many URLs the engine accepted results.completed_urls # how many it finished checking results.duplicates_removed results.invalid_urls_rejected
for r in results.results: r.url # the original URL you submitted r.final_url # after redirects r.status_code # 200, 301, 404, 429, 500, ... r.redirect_chain # list of intermediate URLs r.is_broken # True if the engine flagged this as broken r.is_soft_404 # True if 200 OK but page content says "not found" r.response_time_ms
results.broken # list of URLResult where is_broken == True results.soft_404s # list where is_soft_404 == True
Install with the [cli] extra to get the bulkurlchecker command:
pip install 'bulkurlchecker[cli]'
export BULKURLCHECKER_API_KEY=uck_live_...
bulkurlchecker check urls.txt > report.csv
sitemap-extractor mydomain.com | bulkurlchecker check - --output jsonl > report.jsonl
bulkurlchecker check --urls "https://example.com,https://example.org" --only-broken
JOB=$(bulkurlchecker submit urls.txt) bulkurlchecker status "$JOB" bulkurlchecker results "$JOB" --output csv > report.csv
Output formats: csv (default), json, jsonl. Run bulkurlchecker check --help for the full flag list.
check_urls() blocks for up to 15 minutes server-side. For lists where the wait would time out, use the two-step pattern:
job = client.submit(my_500k_urls)
print(f"Submitted {job.job_id}, {job.total_urls} URLs queued")
done = client.wait_until_done(job.job_id, timeout=3600)
for batch in client.iter_results(job.job_id, page_size=1000): for r in batch: if r.is_broken: print(r.url, r.status_code)
idempotency_keyPass an idempotency key on submit() or check_urls() to make retries safe under network failures. The server caches the response for 24 hours; a retry with the same key + same body returns the original result without creating a duplicate job.
import uuid
key = str(uuid.uuid4()) # generate once per logical request
job = client.submit(urls, idempotency_key=key)
same_job = client.submit(urls, idempotency_key=key)
Same idempotency_key + different urls returns 409 Conflict (raised as ValidationError) so client bugs that reuse a key against a new payload are caught loudly instead of silently mapping to the wrong cached response.
When a job finishes, we POST to your registered endpoint with a signed payload. Verify the signature before trusting the body — anyone who knows your endpoint URL can otherwise send fake events.
from flask import Flask, request
from bulkurlchecker import verify_signature, InvalidSignatureError
SECRET = os.environ["MY_WEBHOOK_SECRET"] # the signing_secret we showed once
app = Flask(name)
@app.route("/webhook/bulkurlchecker", methods=["POST"]) def webhook(): try: verify_signature( request.get_data(), # RAW bytes — not request.get_json() request.headers.get("Bulkurlchecker-Signature", ""), SECRET, ) except InvalidSignatureError: return "", 401 event = request.get_json() if event["type"] == "job.completed": job_id = event"data"
return "", 200
Register endpoints + get secrets at https://app.bulkurlchecker.com/dashboard/webhooks (or via POST /api/v2/webhooks/endpoints).
verify_signature() enforces a 5-minute timestamp tolerance by default to defeat replays. Tune via tolerance_seconds=.
All errors derive from BulkURLCheckerError. Catch specific subclasses when you want to branch on the failure mode:
from bulkurlchecker import (
Client, BulkURLCheckerError, AuthenticationError, RateLimitError, QuotaError, ValidationError, )
try: results = client.check_urls(urls) except QuotaError as e: print(f"Out of credits. Top up at https://app.bulkurlchecker.com/billing") except RateLimitError as e: print(f"Rate limited. Retry after {e.retry_after}s.") except AuthenticationError: print("API key rejected — check it's not revoked.") except ValidationError as e: print(f"Bad request: {e}") # bad URLs, too many URLs, etc. except BulkURLCheckerError as e: print(f"Other error: {e} (request_id={e.request_id})")
Every error carries status_code, code (server's machine-readable string), request_id (for support), and details (when the server provides them).
Honest answer: for ≤500 URLs you don't need this. The standard requests/httpx toolchain handles it fine.
The wall hits at scale:
| Problem | Rolling your own | This SDK |
|---|---|---|
| Concurrency | asyncio + careful semaphores | done |
| Proxy rotation across residential IPs | $90+/mo Webshare / Bright Data subscription + custom code | done |
| Per-domain rate limiting (so you don't hammer one host) | wire it yourself | done |
| Distinguishing real 403 from "you got blocked" 403 | guess and check | done |
| Detecting soft 404s (200 OK + "not found" body) | regex / heuristic per template | done |
| Retry classification (transient vs permanent) | tune for weeks | done |
| Long-running job state (resume after crash) | Redis + queue + worker infra | done |
| Engineer time, weeks 1-4 | $$$ | nothing, ship today |
If you've already lost a weekend to httpx + proxy rotation, you know what we're talking about.
Scheduled checks, with email, Slack and webhook alerts, are included on every plan. One-time credit packs start at $5 for 3,000 checks, and pack credits roll over. Current prices: https://bulkurlchecker.com/#pricing
The SDK follows semver. While we're at 0.x, breaking changes can land in minor releases (we'll always note them in CHANGELOG.md). Once we hit 1.0 you can pin major versions safely.
MIT. See LICENSE.