// MCP TOOL REFERENCE

TERNARY INTELLIGENCE STACK TOOLS

34 tools from the Ternary Intelligence Stack MCP Server, categorised by risk level.

View the Ternary Intelligence Stack policy → Token cost: 5,118 tokens →

// ALL 34 TERNARY INTELLIGENCE STACK TOOLS

READ 28 tools

Read audit_ternary_logic Static code compliance audit. Detects Binary Habituation — over-reliance on true/false, bool types, and bin... Read get_industrial_standards Returns the current triadic industrial standards published by RFI-IRFOS: T-TOKEN-v1.0 (tokenization), T-KV-... Read llb_check Last Look Back — blacklist check. Returns whether a path is protected by the LLB permanent blacklist (syste... Read llb_validate Last Look Back — Gate 1 preflight. Validates a structured mutation request: checks blacklist, resolves path... Read moe_deliberate EMA-based iterative deliberation engine. Feeds evidence round by round, applying exponential moving average... Read moe_full Full 13-expert MoE orchestration with complete triad field, routing pair, per-expert verdicts, synergy scor... Read moe_orchestrate MoE-13 deliberation — routes your query through 13 specialised expert agents (deductive, inductive, safety,... Read quantize_weights Quantize f32 neural network weights to ternary {-1, 0, +1} using BitNet-style absolute-mean thresholding. R... Read sparse_benchmark Benchmark sparse vs dense ternary matrix multiplication. Reports sparsity ratio, multiply-op count for both... Read trit_action_gate Multi-dimensional safety gate for action authorisation. Each dimension contributes weighted evidence; any d... Read trit_audit Full TernAudit of an AI decision log. Returns binary habituation ratio, EU AI Act Article 13 (transparency)... Read trit_calibrate Analyse an AI agent's recent decision log for binary habituation. Detects how often the agent forced YES/NO... Read trit_compress Ternary context compression. Score each text chunk by information density: high-signal chunks are kept verb... Read trit_consensus Balanced ternary consensus of two trit values: +1 if both affirm, -1 if both conflict, 0 (hold) for any dis... Read trit_debate Route two claims through MoE-13, compare their ternary verdicts, and return a tension score, synthesis, and... Read trit_decide Convert float evidence into a ternary decision (-1 conflict / 0 hold / +1 affirm) with confidence score and... Read trit_eco_check Evaluate a proposed action along two axes: human-optimal (via MoE-13) and eco-optimal (keyword heuristic). ... Read trit_eval Evaluate a single ternlang expression on the live BET (Balanced Execution Trit) VM. Returns the trit result... Read trit_factcheck Ternary fact-check engine. Decomposes a claim into sub-claims, scores each against an optional evidence cor... Read trit_mem_compress Apply ternary sparsity compression to an entire memory layer in-place. Strips low-information sentences (de... Read trit_mem_read Read from three-layer memory using ternary attention. Each entry is scored: attention = key_overlap×0.35 + ... Read trit_mem_stats Return statistics for all three memory layers: entry counts, trit distribution (affirm/tend/reject), expire... Read trit_translate Convert binary control-flow code (Python if/elif/else, SQL CASE WHEN, JSON rule arrays) into equivalent .te... Read trit_triage Ternary triage and prioritisation. Score an array of text chunks against a query by word overlap, then sort... Read trit_uncertainty_map Annotate every sentence (or paragraph) in a text with a trit value: +1 affirm (confident language), 0 tend ... Read trit_upgrade Returns a structured map of what is available free via MCP vs what unlocks with a paid API key: Tier 2 €24.... Read trit_vector Multi-dimensional ternary evidence aggregation — the full agent reasoning tool. Provide named evidence dime... Read tsql_join Ternary SQL Join. Unlike binary SQL (MATCH / NO-MATCH), a T-Join routes partial matches into a Deliberative...

WRITE 3 tools

Write llb_write_safe Last Look Back — Safe Atomic Write advisory. Runs the full LLB preflight (Gate 1: blacklist + tier classifi... Write trit_mem_write Write a memory entry to one of three layers: working (hot context, TTL 1h), session (flow patterns, TTL 24h... Write trit_plan Ternary task planner. Decomposes a goal into subtasks, scores each subtask by confidence and feasibility, a...

DESTRUCTIVE 1 tools

Destructive llb_classify Last Look Back — safety tier classification. Classifies a path + operation into LLB safety tiers: T0/READ (...

EXECUTE 2 tools

Execute ternlang_run Compile and run a complete .tern source program on the BET VM. Use for multi-statement programs, function d... Execute trit_mem_consolidate Run the three-layer memory consolidation cycle: (1) evict expired working entries; (2) promote affirm worki...

// FAQ

How many tools does the Ternary Intelligence Stack MCP server have? +

The Ternary Intelligence Stack MCP server exposes 34 tools across 4 categories: Read, Write, Destructive, Execute.

How do I enforce policies on Ternary Intelligence Stack tools? +

Route the Ternary Intelligence Stack server through the PolicyLayer gateway. Define allow, deny, or approval rules per tool in the dashboard — they are enforced on every call before it reaches the server.

What risk categories do Ternary Intelligence Stack tools fall into? +

Ternary Intelligence Stack tools are categorised as Read (28), Write (3), Destructive (1), Execute (2). Each category has a recommended default policy.

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