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Record and verify double-entry bookkeeping with natural language and audit trails.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "postledger" yet — see the docs or source repo.
Record this in double-entry form: On 2025-02-10, the company paid 1,200 CNY for office supplies from its corporate bank account. Debit office expenses and credit bank cash, then return a verifiable entry result.
A double-entry bookkeeping record that follows accounting rules and shows a verifiable result.
Check whether this entry satisfies debit-credit balance and whether it is safe to post: Debit accounts receivable 5,000 CNY, credit operating revenue 5,000 CNY.
A result indicating whether the entry is balanced, whether it can be posted, and a brief verification note.
I may have submitted the same reimbursement twice. Process this entry with idempotent writes; if an identical record already exists, do not post it again and explain the result.
A deduplicated posting result that avoids duplicate writes and states whether an existing record was matched.
Finance or operations staff can describe income or expense events in natural language, and the tool converts them into double-entry records. This reduces manual bookkeeping effort and improves consistency.
When a team needs to check whether entries are traceable or were written more than once, it can use the tool’s immutable records, idempotent writes, and audit trail features. This fits situations where record integrity matters.
Developers can integrate this MCP server into AI or business workflows so systems can record and verify bookkeeping through natural language. It is suitable for applications that need trustworthy financial records.
It is an MCP server for double-entry bookkeeping that supports financial recording and verification through natural language. Its key features include idempotent writes, immutable entries, and an audit trail.
Based on the provided information, it improves trust by preventing duplicate posting with idempotent writes, reducing tampering risk with immutable entries, and preserving an audit trail for tracing and verification.
No installation guide or prerequisite details were provided here. For runtime requirements, dependencies, and configuration, see the source repository.
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