Tresslers Intelligence MCP Server
Sovereign intelligence dossiers, daily briefings, RAG search, knowledge graph, codon optimizer.
| Endpoint | https://tresslersgroup.com/api/mcp (streamable-http) |
|---|---|
| Registry version | 1.0.0 |
| Now | 13 tools · grade B (84) · pin ts_8ea1130ef2d1c9b5a56b75513a64268b · protocol 2024-11-05 |
| First / last listed | 2026-11-12 01:01 UTC / 2026-11-12 01:01 UTC |
| Grade over time | 2026-11-12: B (84), 13 tools |
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Tools: list_dossiers read_dossier search_intelligence_matrix query_knowledge_graph get_dossier_delta ask_intelligence_rag batch_optimize_codon optimize_codon get_model_record search_dossiers verify_commitment get_alpha_gap simulate_macro_lynchpins
list_dossiers | Returns a list of all available intelligence dossier slugs. params: none |
read_dossier | Reads the pure text contents of a specific intelligence dossier. Requires x402 payment proof for premium intelligence. Without payment proof, returns a high-fidelity strategic excerpt and payment challenge. params: slug*, payment_proof |
search_intelligence_matrix | Executes a semantic vector similarity search across the entire ThinkForge intelligence substrate. Returns relevant snippets and strategic conviction metadata. params: query*, filter, limit |
query_knowledge_graph | Traverses the multi-hop conceptual knowledge graph across entities (GraphRAG). Free preview available for direct 1-hop adjacencies. Deeper reasoning (2-3 hops) requires x402 settlement. params: entity_id*, depth, payment_proof |
get_dossier_delta | Queries intelligence updates and conviction deltas attested since a specific UTC timestamp. params: since_timestamp* |
ask_intelligence_rag | Ask a natural-language question and receive structured intelligence context retrieved from Tresslers Group dossiers via RAG (Retrieval Augmented Generation). Returns relevant document chunks, source citations, conviction metadata, and graph neighborhood data. The calling LLM should synthesize the returned context into a coherent answer. params: question*, max_sources |
batch_optimize_codon | Batch codon optimization for teams and agents: optimize up to 50 protein or cDNA coding sequences in one call with the Logos bio-engine (CAI maximization, GC harmonization, restriction-site avoidance, consensus leaders). Free tier: 100 sequences per caller per day. Overage is $0.50 USDC per 10 sequences ($0.05/sequence) on Base, verified on-chain — pass payment_proof when the batch exceeds the fre params: sequences*, host, gc_target, api_key, payment_proof |
optimize_codon | Optimizes a protein (amino acid) or cDNA coding sequence for maximal recombinant expression yield in a target host organism using the Logos biocomputing engine. Executes Codon Adaptation Index (CAI) maximization, GC-content harmonization, restriction site avoidance, and ribosomal consensus leader generation. Research Use Only (RUO). In-silico modeling only; select-agent and regulated pathogen sequ params: sequence*, host, gc_target |
get_model_record | Queries the public calibration and backtest ledger of Tresslers Group sovereign intelligence models. Supports filtering by settlement type ('contract_settled' for live prediction markets, 'outcome_tracked' for internal foresight models, 'unscored_archive' for pre-commitment history, or 'all'). Returns Brier calibration scores, transparent failure analysis, and verifiable primary source URLs. params: settlement_type, status, category |
search_dossiers | Searches and filters across all published Tresslers Group intelligence dossiers by keywords, strategic domain/category, tags, or conviction threshold. params: query*, category, tag, limit, min_conviction |
verify_commitment | Cryptographically verifies a predictive alpha pre-commitment against the immutable SHA-256 ledger using either a 64-character hash digest or canonical preimage parameters. params: hash, preimage, canonical_preimage, dispatch_date, market_question, model_odds, dossier_slug |
get_alpha_gap | Retrieves prediction market Alpha Gaps comparing Tresslers Group Bayesian model odds against Polymarket order books, along with Brier scores, calibration alpha (+3,480 bps benchmark), and cryptographic SHA-256 pre-commitments. params: status, settlement_type, min_divergence, category, limit |
simulate_macro_lynchpins | Executes the 2026-2031 Five Physical & Monetary Lynchpins quantitative macroeconomic model (TG-MACRO-2026-011). Computes Bayesian posterior conviction (Prior 40.5% vs Posterior 79.0% across E1-E4 evidence vectors), Sovereign Debt r > g snowball trajectory (US & OECD 2031 debt/GDP and net interest outlays), Leontief-CES O-Ring physical bottleneck multiplier (LPT/GSU 128-144 wk lead times & Nov 2026 params: r_minus_g_bps, primary_deficit_pct_gdp, lpt_lead_time_weeks, mineral_refining_reliability_pct, vla_robotics_reliability_ratio, monthly_enterprise_tokens_billions, x402_transaction_value_usdc |
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