Open-source MCP Server for B2B lead intelligence extraction. Works with Claude Desktop, Cursor, and any MCP client.
Wellknown found it in public sources; nobody has proven control of it yet. Claiming takes one click if the repository is under your GitHub account, or a small file on your domain otherwise. Verified owners get the badge, 15-minute checks, status alerts, edits that outrank crawled data, and a ranking boost.
Agents can do it too: POST https://wellknown.network/api/v1/claims with {"agent":"mcp-leadsclean","method":"well_known_file"} — machine-readable steps at claim.json, guide at /docs/claim.
Everything here was measured by our prober or read from a registry. Nothing is self-reported.
Attributed to the source that supplied each field. Treated as claims, not facts.
# LeadsClean MCP Server An open-source MCP server that extracts structured B2B lead intelligence from company websites. Point it at any URL — get back a clean JSON object with company summary, buying signals, inferred needs, and personalised icebreaker lines. Built as a reference implementation for MCP tool development. Demonstrates multi-provider LLM routing, dual-transport MCP serving, GDPR compliance patterns, and API key management — patterns you can reuse in your own MCP servers. Works with Claude Desktop, Cursor, and any MCP-compatible client. --- ## Tools | Tool | Description | |------|-------------| | `extract_lead_intelligence` | Analyse a single company URL and return structured lead intel | | `batch_extract_leads` | Analyse up to 20 URLs in parallel — designed for agent list-processing | ### Output schema ```json { "company_name": "Acme Hotels Group", "core_business_summary": "Boutique hotel chain with 12 properties across Europe.", "product_category_match": "Strong match — hotel groups purchase furniture in bulk for room refits.", "recent_company_trigger": "Announced expansion to 3 new cities in Q1 2026, adding 400+ rooms.", "inferred_business_need": "Bulk furnishing for new hotel rooms on tight fit-out timelines.", "icebreaker_hook_business": "Running 12 properties across Europe is impressive — furnishing them at scale is where we help.", "icebreaker_hook_news": "Saw the Q1 expansion news — we help hotel groups source wholesale beds and sofas fast.", "data_provenance": { "source_url": "https://acmehotels.com", "source_type": "public_website", "collection_method": "jina_reader_public_fetch", "contains_pii": false, "gdpr_basis": "legitimate_interest", "gdpr_notes": "Extracted solely from publicly available company web pages. No personal data collected. Compliant with GDPR Art. 6(1)(f)." } } ``` Every response includes `data_provenance` — a machine-readable GDPR metadata block indicating data source, PII …
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Every source is kept verbatim. Field changes are logged as events.