Observed Signal · Aug 13, 2026 · Technical Release · Source: DEV Community · Impact: 2/5 · Sentiment: Positive
MCP Server Built on Romania's Open Company Registry
The author replaced brittle web-scraping for B2B lead generation with a pipeline that ingests Romania's official company registry (ONRC) published on data.gov.ro. They stream large monthly CKAN CSV snapshots into SQLite, decode status and CAEN codes using separate nomenclator tables, and expose the data via a small Python package and a Streamable HTTP MCP server. The server provides three tools—lookup_business (registry search), extract_contacts (bounded website contact crawler), and lookup_domain (WHOIS/DNS/SPF/DMARC checks). The post documents engineering challenges (caret delimiters, BOM, diacritics, mapping join keys) and lessons learned, and notes plans to package the pipeline as an Apify actor for on-demand runs.
Practical how-to showing official government registries can replace fragile scraping for B2B lead data; useful to data engineers and lead-gen providers but not industry-shifting.
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Key Takeaways & Evidence Grounding
- Romania's ONRC (Trade Register) publishes a full open-data snapshot of companies on the national portal data.gov.ro, containing ~4.2M firms and refreshed monthly.
- The author built a pipeline that uses the CKAN API to find resources, stream-loads large CSVs into SQLite, loads nomenclator decode tables, and exposes the database read-only via an MCP server.
- Three MCP tools were implemented: lookup_business (registry search with decoded CAENs and directors), extract_contacts (site crawler for emails/phones/socials), and lookup_domain (WHOIS/DNS/SPF/DMARC checks).
- The registry CSVs are large (~690 MB for the firms file), use '^' as a delimiter, include a BOM, and require special handling for Romanian diacritics and code decoding.
- The author plans to package the pipeline as an Apify actor (Ro Business Data MCP) to run on demand.
Ontology Mapping & Concepts
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