"Ant Design" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Company enrichment API: firmographics from a domain, work email or IP. Identifies website visitors.
B2B company, people and email enrichment with cited sources, built for GCC and MENA companies.
Validate CSV columns, find duplicates and invalid values, and clean files with explicit rules. Row-level reports, no stored files. Run the fixed free sample without a key. Custom CSV: EUR 9 for 100 operations, valid 90 days, no subscription. Setup: https://import-check-production.up.railway.app/docs/
Connect your ads, shop, analytics, social, CRM and finance platforms once, then let Claude, ChatGPT, Cursor or any MCP client read, join and explain your numbers. Public statistics from the World Bank, IMF, Eurostat, OECD, WHO and SEC filings come as context, searchable and chartable from the same tools. Read-only by design, every number carries its source.
Funding histories, bank filings and settlement data with source receipts, units and capture clocks.
ANTT SIFAMA: Lista de Autos de Infração, official-source lookup. Platform-hosted, pay per query with
Supply-chain network design via simulation, optimization, and greenfield analysis.
pipe0 gives your agent GTM data: verified emails, phone numbers, firmographics, and more. Build targeted lead lists and enrich them from dozens of providers, all from chat. Then keep them working: – Watch for signals: job changes, funding and company news, new hires, email replies, booked meetings, and custom webhook events. – Act automatically: enrich, score, and route each lead to HubSpot, Salesforce, Attio, or Slack. – Keep everything in one place: save lists to pipe0 sheets, schedule recur
Five live data tools for AI agents — company hiring signals (Greenhouse/Lever/Ashby), SEC EDGAR filings, academic papers (OpenAlex), GitHub repos, and Hacker News — as flat, citation-ready JSON. Hosted on Apify; pay-per-result billing to the caller's own Apify account, empty results cost $0.
Run one LLM instruction over every row to classify, extract or summarise into new columns.
