io.tenova/swt3-witness

MCPcommunity
v0.5.5io.tenovaUnknownUpdated 24d agonpmGitHub

Cryptographic AI governance + audit. 18 tools, 16 frameworks. EU AI Act, NIST, OWASP, CMMC, SR 11-7

Listed on the MCP Registry as MCP server for the SWT3 AI Witness protocol. Adds cryptographic compliance attestation to any MCP-compatible AI agent. SWT3 (Sovereign Witness Traceability) works by hashing your AI's inputs and outputs locally, extracting numeric factors (latency, token count, guardrail status), and anchoring them into a cryptographic fingerprint that anyone can independently…

Automatically indexed from public sources. Not yet verified by the developer on Forge.Claim this listing →
24d agoLast update
Package
Authorio.tenova
LicenseUnknown
Version0.5.5
Sourcemcp-registry
npm@tenova/swt3-mcp
GitHubtenova-labs/swt3-ai
Trust Status
B
60/100Good
✓Listed in Forge index+10/10
—Publisher identity verified+0/25
→ Publisher: run `forge publish` from the package repo to claim ownership
—Ed25519 publish signature+0/10
→ Included automatically when the publisher runs `forge publish`
—Domain verification+0/5
→ Publisher: host /.well-known/forge.json on the package homepage with { "publisher": "<github-login>" }
✓CVE scan · clean+30/30
✓Static analysis · clean+20/20
—npm provenance (Sigstore)+0/5
→ Publish from GitHub Actions with the --provenance flag
Paste into Claude Code, Cursor, or any AI assistant to fix all gaps
StatusCommunity-indexed
PublisherUnverified
SignatureUnsigned
Domain—
Provenance—
Dependencies✓ 60 resolved+ · none vulnerable
Tool surface18 tools · 1 privileged
Security scan✓ Cleanv0.5.5 · 20d ago
EvalsNone
IndexedJun 13, 2026

Verification confirms publisher identity (repo ownership), not code safety. The security scan covers known CVEs and suspicious install scripts — it cannot prove the absence of malicious code.

About

Listed on the MCP Registry as MCP server for the SWT3 AI Witness protocol. Adds cryptographic compliance attestation to any MCP-compatible AI agent. SWT3 (Sovereign Witness Traceability) works by hashing your AI's inputs and outputs locally, extracting numeric factors (latency, token count, guardrail status), and anchoring them into a cryptographic fingerprint that anyone can independently verify. Your prompts and responses never leave your machine. The auditor gets tamper-proof evidence. You…

Keywords
mcp