30 tools from the Ternary Intelligence Stack MCP Server, categorised by risk level.
View the Ternary Intelligence Stack policy →audit_ternary_logic Static code compliance audit. Detects Binary Habituation — over-reliance on true/false, bool types, and binary else branches — and returns a ternar... 2/5 get_industrial_standards Returns the current triadic industrial standards published by RFI-IRFOS: T-TOKEN-v1.0 (tokenization), T-KV-CACHE-v1.0 (memory), T-Fi-v1.0 (compute ... moe_deliberate EMA-based iterative deliberation engine. Feeds evidence round by round, applying exponential moving average smoothing, until the target confidence ... moe_full Full 13-expert MoE orchestration with complete triad field, routing pair, per-expert verdicts, synergy scores, and deliberation trace. Returns the ... 2/5 moe_orchestrate MoE-13 deliberation — routes your query through 13 specialised expert agents (deductive, inductive, safety, fact-check, causal, ambiguity, math, co... 2/5 quantize_weights Quantize f32 neural network weights to ternary {-1, 0, +1} using BitNet-style absolute-mean thresholding. Returns quantized weights, sparsity ratio... sparse_benchmark Benchmark sparse vs dense ternary matrix multiplication. Reports sparsity ratio, multiply-op count for both methods, and speedup factor. Demonstrat... trit_action_gate Multi-dimensional safety gate for action authorisation. Each dimension contributes weighted evidence; any dimension marked hard_block:true with neg... trit_audit Full TernAudit of an AI decision log. Returns binary habituation ratio, EU AI Act Article 13 (transparency) and Article 14 (human oversight) heuris... trit_calibrate Analyse an AI agent's recent decision log for binary habituation. Detects how often the agent forced YES/NO when the evidence called for hold (tend... trit_compress Ternary context compression. Score each text chunk by information density: high-signal chunks are kept verbatim (+1), medium-signal chunks are trun... 2/5 trit_consensus Balanced ternary consensus of two trit values: +1 if both affirm, -1 if both conflict, 0 (hold) for any disagreement. Use to merge two independent ... trit_debate Route two claims through MoE-13, compare their ternary verdicts, and return a tension score, synthesis, and AGREEMENT/CONFLICT/HOLD verdict. Useful... trit_decide Convert float evidence into a ternary decision (-1 conflict / 0 hold / +1 affirm) with confidence score and human-readable interpretation. The core... trit_eco_check Evaluate a proposed action along two axes: human-optimal (via MoE-13) and eco-optimal (keyword heuristic). When they diverge, synthesis returns ten... trit_eval Evaluate a single ternlang expression on the live BET (Balanced Execution Trit) VM. Returns the trit result. Good for quick expression testing with... trit_factcheck Ternary fact-check engine. Decomposes a claim into sub-claims, scores each against an optional evidence corpus using word overlap, and returns an o... trit_mem_compress Apply ternary sparsity compression to an entire memory layer in-place. Strips low-information sentences (density < 0.25) from every entry's value, ... 2/5 trit_mem_read Read from three-layer memory using ternary attention. Each entry is scored: attention = key_overlap×0.35 + value_overlap×0.55 + trit_bias×0.10. Ret... 2/5 trit_mem_stats Return statistics for all three memory layers: entry counts, trit distribution (affirm/tend/reject), expired-but-not-yet-evicted entries, oldest an... trit_translate Convert binary control-flow code (Python if/elif/else, SQL CASE WHEN, JSON rule arrays) into equivalent .tern code with explicit tend arms injected... 2/5 trit_triage Ternary triage and prioritisation. Score an array of text chunks against a query by word overlap, then sort: affirm (+1) = highly relevant, tend (0... 2/5 trit_uncertainty_map Annotate every sentence (or paragraph) in a text with a trit value: +1 affirm (confident language), 0 tend (hedging language), -1 reject (contradic... 2/5 trit_upgrade Returns a structured map of what is available free via MCP vs what unlocks with a paid API key: Tier 2 €24.99/mo (10k calls/mo), Tier 3 €49.99/mo (... trit_vector Multi-dimensional ternary evidence aggregation — the full agent reasoning tool. Provide named evidence dimensions each with a scalar value [-1.0, +... tsql_join Ternary SQL Join. Unlike binary SQL (MATCH / NO-MATCH), a T-Join routes partial matches into a Deliberative Hold (State 0) for escrow audit — guara... trit_mem_write Write a memory entry to one of three layers: working (hot context, TTL 1h), session (flow patterns, TTL 24h), or core (identity anchors, never evic... 2/5 trit_plan Ternary task planner. Decomposes a goal into subtasks, scores each subtask by confidence and feasibility, and routes uncertain tasks into a deliber... 2/5 ternlang_run Compile and run a complete .tern source program on the BET VM. Use for multi-statement programs, function definitions, struct usage, agent spawning... 4/5 trit_mem_consolidate Run the three-layer memory consolidation cycle: (1) evict expired working entries; (2) promote affirm working entries to session with ternary compr... 3/5 The Ternary Intelligence Stack MCP server exposes 30 tools across 3 categories: Read, Write, Execute.
Use Intercept, the open-source MCP proxy. Write YAML rules for each tool — rate limits, argument validation, or deny rules — then run Intercept in front of the Ternary Intelligence Stack server.
Ternary Intelligence Stack tools are categorised as Read (26), Write (2), Execute (2). Each category has a recommended default policy.
Open source. One binary. Zero dependencies.
npx -y @policylayer/intercept