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Create tamper-evident audit logs for AI decisions and compliance evidence.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "audit-ledger-mcp" yet — see the docs or source repo.
Use audit-ledger-mcp's record_decision tool to write this AI approval outcome to the audit ledger and return the result.
A confirmation that the entry was written to the ledger, such as success status or a record identifier.
Use the verify_decision tool to verify whether this AI decision record passes audit validation and explain the result.
A verification result indicating whether the record passed validation.
Use the list_decisions tool to list AI decision records in the current ledger so recent audit evidence can be reviewed.
A list of recorded decision entries for audit or review.
Developers or product managers can write important AI decisions to a tamper-evident ledger when audit trails are required, supporting later compliance review and audits.
In regulated environments, teams can preserve AI decision evidence and manage audit logs with a seven-year retention policy.
Teams can start in zero-config sandbox mode to try the basic workflow for recording, verifying, and listing decision records.
It creates tamper-evident audit logs for AI decisions and provides three tools for recording, verifying, and listing entries. It is designed for compliance audits and evidence retention.
The provided information says the ledger is built on AWS S3 Object Lock and uses a seven-year retention policy. For more deployment details, see the source repository.
You can start it with "npx audit-ledger-mcp" in a zero-config setup and try it in sandbox mode against a public hosted tenant.
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