OpenWarrant — Document Verification Suite
sh.stipple/openwarrant · v0.2.0 · MCP 2025-11-25
Verify, classify financial docs, detect AI text, fact-check citations. One server, full suite.
Reachability
reachable
checked 2026-07-14 04:34 UTC
Registry status active
Tools pinned 12
98df087de087
Tools last changed
unchanged since first capture 2026-07-14
Provenance
Registry namespace sh.stipple
(domain verified by the official registry)
Repository
github.com/sketchjar/openwarrant
Remote endpoints
https://www.stipple.sh/mcp (streamable-http)
Observed changes
| When (UTC) | Event | Detail |
|---|---|---|
| 2026-07-14 03:27 | first capture | 12 tools pinned |
Pinned tool definitions (12)
| Tool | Description |
|---|---|
| verify_document | Forensically inspect a document (PDF or image) for authenticity: tampering signs, AI-generation indicators, arithmetic reconciliation (financial docs), and provenance. USE THIS WHEN someone shares a payslip, bank statement,... |
| check_document | Cheap cache-check: has this exact document already been inspected? Hash the file yourself (sha256, lowercase hex) and call this before verify_document to skip a redundant (paid) inspection. Returns {cached, warrant_id, permalink}. |
| get_warrant | Retrieve a stored warrant by id (e.g. 'warrant_<hex>') — the full bundle as JSON, or a human-readable Markdown report when as_markdown=True. |
| submit_feedback | Record thumbs up/down on a warrant's rating (the engine's precision-flywheel label source). verdict must be 'up' or 'down'; note is optional free text. |
| classify_document | Classify a FINANCIAL document's type and issuing country. Specialised in financial-services documents: payslip, tax_invoice, bank_statement, salary_certificate, payg_summary, receipt. USE THIS WHEN someone shares a document... |
| extract_fields | Extract structured FIELDS from a document (PDF or image) with a vision model. USE THIS WHEN you need specific values OUT of a document — a payslip's gross/net, an invoice's total/ABN, a form's checkboxes, a table's cells —... |
| verify_identity | Run an Australian identity check over a SET of identity documents. A vision model reads each document (which ID it is, which fields it shows — name/photo/address/signature — and its issue date); a deterministic engine then... |
| check_pack | Check whether a SET of documents satisfies a checklist — completeness, cheaply. USE THIS WHEN you have an application / onboarding pack and need "do we have the required documents, and what's still missing?" Each document is... |
| redact_pii | Detect and MASK personally identifiable information in a document (PDF or image). USE THIS WHEN you need to know what PII a document contains, or to get a redacted copy before forwarding / logging / passing it to another model.... |
| screen_adverse_media | Screen a person or organisation for ADVERSE MEDIA and SANCTIONS/PEP exposure (KYC/AML). USE THIS WHEN onboarding or due-diligence asks: does this subject appear in negative news (fraud, money laundering, bribery, sanctions,... |
| detect_ai_text | Estimate the PROBABILITY that a document's text was AI-GENERATED (LLM-written prose). USE THIS WHEN someone shares prose — an essay, cover letter, article, review, application, or report (or a link to one) — and asks: did an AI... |
| verify_references | Fact-check a document's REFERENCES and CLAIMS — built for AI-generated reports whose citations must be checked before they're trusted. USE THIS WHEN someone shares a report, article, whitepaper, or deep-research export (or a ... |
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