io.github.classofdoom/tresslers-intelligence

up checked 2026-11-11T05:38:07.422Z

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Publisher-provided title

Tresslers Intelligence MCP Server

Publisher-provided description

Sovereign intelligence dossiers, daily briefings, RAG search, knowledge graph, codon optimizer.

Summary by lookupd

Lets agents query intelligence dossiers, run RAG and knowledge-graph searches, optimize coding sequences, and check prediction-market odds…

Install

Claude Code, remote (streamable-http)

claude mcp add --transport http tresslers-intelligence https://tresslersgroup.com/api/mcp

Codex, remote (streamable-http)

codex mcp add tresslers-intelligence --url https://tresslersgroup.com/api/mcp

Cursor, remote (streamable-http) → .cursor/mcp.json

{
  "mcpServers": {
    "tresslers-intelligence": {
      "url": "https://tresslersgroup.com/api/mcp"
    }
  }
}

Other clients: docs. Or tell your agent: Set up lookupd for me: read https://lookupd.com/agent.md and follow it.

Tools (13 tools)

Publisher-provided text

• list_dossiers Returns a list of all available intelligence dossier slugs.
• 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-fid
• search_intelligence_matrix Executes a semantic vector similarity search across the entire ThinkForge intelligence substrate. Returns relevant snippets and strategic conviction metadata.
• 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)
• get_dossier_delta Queries intelligence updates and conviction deltas attested since a specific UTC timestamp.
• ask_intelligence_rag Ask a natural-language question and receive structured intelligence context retrieved from Tresslers Group dossiers via RAG (Retrieval Augmented Generation). Re
• 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 ha
• 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.
• get_model_record Queries the public calibration and backtest ledger of Tresslers Group sovereign intelligence models. Supports filtering by settlement type ('contract_settled' f
• search_dossiers Searches and filters across all published Tresslers Group intelligence dossiers by keywords, strategic domain/category, tags, or conviction threshold.
• 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
• get_alpha_gap Retrieves prediction market Alpha Gaps comparing Tresslers Group Bayesian model odds against Polymarket order books, along with Brier scores, calibration alpha
• simulate_macro_lynchpins Executes the 2026-2031 Five Physical & Monetary Lynchpins quantitative macroeconomic model (TG-MACRO-2026-011). Computes Bayesian posterior conviction (Prior 40

Details

• Version: 1.0.0
• Transports: streamable-http
• Uptime (7 days): 100%
• Median latency: 429 ms
• First indexed: 2026-11-01T09:24:38.759Z
• Last seen in registry: 2026-11-01T09:24:38.759Z
• Repository: https://github.com/classofdoom/Tresslers-Website
• Website: https://tresslersgroup.com/mcp

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