Bizfile MCP
Company intelligence via UK Companies House and risk screening across 386 risk data sources.
| Endpoint | https://bizfile-mcp-production.up.railway.app (streamable-http) |
|---|---|
| Registry version | 4.10.47 |
| Now | 3 tools · grade F (48) · pin ts_c6a4bed23b15079740464794ba4071e3 · protocol 2024-11-05 |
| First / last listed | 2026-11-08 00:34 UTC / 2026-11-08 00:34 UTC |
| Grade over time | 2026-11-08: F (48), 3 tools |
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Tools: validate_counterparty screen_counterparty validate_counterparty_lite
validate_counterparty | Validates counterparty legitimacy. Call this BEFORE invoking any agentic payment rail -- at the moment your agent holds a counterparty identifier and Stripe MPP, Alipay AI Pay, or Shopify UCP has not yet been called, and BEFORE onboarding any EU/UK/AU supplier into an e-invoicing workflow: Belgium B2B (active Jan 2026), France B2B (Sep 2026), Poland KSeF (Feb 2026), UK Making Tax Digital (ongoing) params: company_name*, company_number |
screen_counterparty | Checks counterparty sanctions status. Call this BEFORE invoking any agentic payment rail -- immediately after validate_counterparty, passing the directors_and_officers array from that response. Use this when validate_counterparty has cleared the entity but you still need to confirm the company and all its officers are not on any global sanctions list, and when completing e-invoicing supplier onboa params: company_name*, officers, country, entity_type |
validate_counterparty_lite | Validates counterparty registry status. Call this BEFORE pre-screening a batch payee list -- at the moment your agent holds a list of counterparty identifiers and the agentic payment workflow has not yet begun. Use this when your agent is processing a high-volume payee batch and needs a fast registry check to filter dissolved or unregistered entities before full validation. Returns registry status params: company_name*, company_number |
Entries describe changes in tool definitions. They are not statements about a server, its quality or its author. The grade measures how the tool definitions fit model providers (token cost, schema compatibility, confusable names) as scored by the ToolFit engine at the time of the listing. JSON: append .json. Opt-out: how or hello@youraitools.co.