
Debitura is an international debt collection platform that recovers unpaid B2B and B2C invoices across 183 countries by working with licensed local collection partners, all on a no-cure-no-pay basis. The Debitura MCP server exposes this platform directly to AI assistants through the Model Context Protocol, turning cross-border debt recovery into a natural conversation.
Point any MCP-compatible client, including Claude web and desktop, Claude Code, Cursor, or VS Code, at the remote server and authenticate with your Debitura API key. Once connected, your assistant can check the status and timeline of collection cases, read messages from local collection partners, retrieve pricing and eligibility estimates before submitting, list and upload case documents, message partners, and open new collection cases on your behalf. Case creation is carefully safety-wrapped: your assistant previews the request first, requires explicit human confirmation before anything is submitted, and the operation is idempotent, so duplicate cases are never created.
The server is remote and streamable over HTTP, so there is nothing to install locally; authentication is handled with an API key passed in an XApiKey header. Finance and operations teams can now manage international debt recovery entirely in natural language, without ever leaving their AI assistant.

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