Disclosure: I build these tools, and I used AI to help write them and this post.
Five more Panda Federation tools went public on the Apify Store today, and they're in the open-source MCP server as of v1.6.0 (32 tools across four focused servers). Each one reads an official or open source, charges per result, and returns JSON with a one-line agentSummary per row plus Excel/CSV.
| Tool | What it does | Price |
|---|---|---|
| Building Permit Leads | Newly issued permits from 8 US city open-data portals (NYC, LA, Chicago, SF, Seattle, Austin, New Orleans, Cambridge) with trade category, job value, contractor and owner | $0.0015 / permit |
| Florida New Business Leads | New Florida LLCs and corporations from the official Sunbiz daily files, with officers, registered agent and an industry guess | $0.0015 / business |
| Texas New Business Leads | New Texas franchise taxpayers from Comptroller open data, with SOS file number, charter date and county | $0.0015 / business |
| Bulk Domain WHOIS & Expiry Checker | RDAP (WHOIS fallback) for up to 10,000 domains: registrar, expiry and days left, availability, locks, DNS host | $0.001 / domain |
| Wayback Machine Snapshot Finder | Internet Archive CDX snapshots for pages or domains: capture dates, archive URLs, first and last seen | $0.001 / snapshot |
Searches that find nothing aren't charged per result.
Try one from an AI assistant
Pick the focused server that fits the job instead of loading everything:
uvx --from panda-federation-tools panda-leads-tools # permits, FL/TX new businesses (12 tools)
uvx --from panda-federation-tools panda-web-security-tools # domain WHOIS/expiry (5 tools)
uvx --from panda-federation-tools panda-research-tools # Wayback snapshots (7 tools)
Add it as a stdio MCP server with your APIFY_TOKEN (Claude, Cursor and VS Code setup is in the README). Then ask things like:
- "List roofing and solar permits issued in Austin and Chicago this week, biggest jobs first."
- "Give me new Florida LLCs in Miami from the last 3 days that look like home-services businesses."
- "Which of these 200 domains expire in the next 60 days, and where is their DNS hosted?"
- "Find the archived copy of this dead link closest to March 2019."
Every call is schema-checked before it runs and has a hard spending cap (run_max_charge_usd, default $0.50).
Or call the Actor directly
from apify_client import ApifyClient
client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("pandadad0214/bulk-domain-whois-expiry").call(
run_input={"domains": ["apify.com", "wikipedia.org"], "only": "expiringSoon"}
)
for row in client.dataset(run["defaultDatasetId"]).iterate_items():
print(row["agentSummary"])
A few honest limits: contractor names are only published by six of the eight permit cities, Texas data has no officer names, and the Internet Archive's CDX API can take a minute. Repo: pandadad0214/panda-federation-tools.
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