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Fakto.app MCP

Connects Claude or ChatGPT to wFirma and Fakturownia accounting so the assistant can issue invoices, add contacts and track unpaid payments.

FinanceChat assistantWorkflow automationFree tier
fakto.app ↗
At a glanceswept 2026-10-12

not read yet

Use

For
Polish businesses using wFirma or Fakturownia who want AI assistants to manage invoices
Price
Price not read
Activity
Activity not read yet
Company
Domain since 2025domain registered
AlternativesSet it up for my teamIs Fakto.app MCP yours? Claim the card →
What people do with it
  • issue invoices by chatting with an AI assistant
  • list unpaid invoices and check which are overdue
  • generate revenue and cost reports for a chosen period
The companyeach fact with its source · read 2026-10-14
  • Domain since2025domain registered
How a program reaches itfound, not claimed · read 2026-10-14
  • MCP serverapp.fakto/fakturowniaverified in the MCP registry
  • Stateanswers, requires sign-inchecked 2026-10-14
  • Address to connectfakto.app/fakturownia/stream
  • MCP docsfakto.app/mcpthe vendor's page ↗

MCP server details →

Each line is something a program found when it went looking: the registry entry, the server's own answer, a spec that parses. A missing line means we did not find it, not that it does not exist.

Alternatives in Financeby use, among tools still maintained

Figure and bar: visits/mo, estimate · year: online since

All Finance tools →

Questions this page answers
  • What is Fakto.app MCP?

    Connects Claude or ChatGPT to wFirma and Fakturownia accounting so the assistant can issue invoices, add contacts and track unpaid payments. It is listed in the Atlas under Finance.

  • Who is Fakto.app MCP for?

    Polish businesses using wFirma or Fakturownia who want AI assistants to manage invoices

  • Do people use Fakto.app MCP?

    Little sign of use.

  • What are alternatives to Fakto.app MCP?

    In Finance, by use: Ramp, Brex, Holdings, Financeops, JustPaid, Tesorio.

Not quite it? Describe the job

beta

Five tools from the Atlas that fit it, each judged against what you wrote.

How we read a tool

No votes, no reviews, no vendor claims. Every week a crawler reads each tool's own site and a few public registries, and the words on the card are bands over what it read.

  • Use: visits to the site (estimated), installs from npm and PyPI, presence in Chrome's usage report.
  • Activity: the newest release on GitHub, npm or PyPI; the newest dated page on the site; open roles on a public jobs board.
  • Price: the vendor's own pricing page, read with the date. A figure is printed only when it is on that page.
  • The line and the use cases are written by us from the homepage, one tool at a time, and refused when they repeat the vendor's marketing.

How AI assistants read each site — the reading vendors ask us about — is on each tool's own visibility page.