smithery Safe content atomic mcp-remote

Ternary Intelligence Stack

Your AI agent has two states. Ternlang gives it three. 30 tools — FREE, no key needed. The third state isn't null. It isn't "maybe". It's hold (trit=0) — a first-class routing instruction that tells your agent: evidence insufficient, gather more before committing. Every binary system that forces yes/no on ambiguous data is making a structural error. We fixed that. ⚡ trit_decide · trit_consensus · trit_vector · moe_orchestrate · ternlang_run · trit_audit ⚡ MoE-13 deliberation engine · EU AI Act Art.13/14/15 · BET VM (real compiler, not a sim) affirm = proceed. hold = wait. reject = block. Built in Graz, Austria by RFI-IRFOS. v1.0.0

Cognium trust score
50%
Tier
Unverified

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.

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Metadata

Version
1.0.0
Skill type
atomic
Execution layer
mcp-remote
Category
ai-ml
Source
Smithery
Author type
human
Updated
2026-07-03
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Use via MCP

MCP

Resolve Ternary Intelligence Stack from your agent

Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.

One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.

claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
Swap --scope user for --scope project to commit it to .mcp.json.

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