Panda Leads Tools
Give Claude, Cursor or any MCP client 15 public lead-generation tools: local businesses, healthcare providers, podcasts, hiring signals, company enrichment and team pages, new Florida, Texas and New York businesses, permits, carriers, nonprofits, H-1B sponsors and EU tenders. Each tool runs one public-data Apify Actor on your own Apify account and is priced per result. Part of the Panda Federation toolkit (36 tools in four focused servers).
How to use this
uvx panda-leads-tools
- Get a free Apify token at console.apify.com/settings/integrations (the free plan includes $5 of monthly credit) and install uv.
- Add the server to your MCP client: command
uvx, args["panda-leads-tools"], envAPIFY_TOKEN(Cursor JSON below). - Ask in plain words, e.g. "List dentists in Phoenix, AZ with a website and phone number, then enrich their domains." Start with one or two inputs and read the
summary/agentSummaryline before widening.
{"mcpServers": {"panda-leads-tools": {"command": "uvx", "args": ["panda-leads-tools"], "env": {"APIFY_TOKEN": "apify_api_YOUR_TOKEN"}}}}
For AI agents
| Field | Value |
|---|---|
| Purpose | Focused MCP server with 15 public lead-generation tools: local businesses, healthcare providers, podcasts, hiring signals, company enrichment and team pages, new Florida, Texas and New York businesses, permits, carriers, nonprofits, H-1B sponsors and EU tenders. |
| Use when | A task needs a prospect or account list built from official or open public data (registries, open maps, public job boards, company websites). |
| Do not use when | You need LinkedIn, logged-in or paywalled data, scholarly sources (use panda-research-tools), federal funding (panda-public-funding-tools) or security audits (panda-web-security-tools). |
| Install | uvx panda-leads-tools (stdio, Python 3.11+) |
| Auth | APIFY_TOKEN env var; runs bill to that Apify account. |
| Tools | 15, listed under Tools |
| Outputs | JSON rows plus a one-line summary / agentSummary; Excel/CSV files on the Apify run. |
| Side effects and cost | Starts Apify runs; pay per result; empty runs are not charged per result; run_max_charge_usd caps each call. Read-only toward third-party sites. |
Other ways to install
From the umbrella package (same tools):
uvx --from panda-federation-tools panda-leads-tools
From this repo instead of PyPI:
uvx --from git+https://github.com/pandadad0214/panda-leads-tools panda-leads-tools
Docker (stdio):
docker build -t panda-leads-tools .
docker run -i --rm -e APIFY_TOKEN panda-leads-tools
Cursor / Claude / VS Code: command uvx, args ["panda-leads-tools"], env APIFY_TOKEN.
Official MCP Registry name for this stdio package: io.github.pandadad0214/panda-leads-tools (server.json). Registry clients install the PyPI package with uvx panda-leads-tools. The git command above stays the install path from this repo.
Tools (15)
npi_provider_listspodcast_leads_finderlocal_business_leadscompany_hiring_signalscompany_website_enrichercompany_team_findertopic_trends_trackertrucking_company_leadsnonprofit_leads_irsbuilding_permit_leadsflorida_new_business_leadstexas_new_business_leadsnew_york_new_business_leadsh1b_lca_sponsor_leadseu_ted_tenders
Each tool runs one Apify Actor on your account. Empty runs are not charged per result; every call is capped by run_max_charge_usd. Full schemas and prices: umbrella README.
Sibling domain servers
panda-research-tools— Scholarly integrity and papers: citation checks, literature and PubMed search, academic experts, PDF tables, Wayback Machine snapshots.panda-public-funding-tools— US federal money, filings and safety monitors: grants, contracts, SBIR/STTR topics, SEC financials, clinical trials, Federal Register, recalls, VIN decode.panda-web-security-tools— Site, email and agent safety: SPF/DKIM/DMARC audits, AI/SEO readiness, website change monitoring, hidden AI instructions scanner, bulk domain WHOIS/expiry, broken link checker.
Index / compatibility mega-server: panda-federation-tools (use only when you truly need every tool).
TDQS standard
New tools join this domain only while the count stays in the 3–15 band. Descriptions follow the checklist in the umbrella repo. See tdqs-standard / project docs.
Built by Panda Federation. MIT licensed.
Metadata
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Total release size: 65.1 kB
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