# Tresslers Intelligence MCP Server

- Registry name: `io.github.classofdoom/tresslers-intelligence` · version 1.0.0
- Categories (automatic, keyword rules): Documents & retrieval, Search & data, Research & knowledge, Payments & accounting, Finance & markets
- Authentication at last check: No auth
- Declared risk: Not declared (tools carry no read/destructive hints)
- Capabilities (declared by the server): tools
- Transports: streamable-http
- Latest numbers (check success, response time, rank): https://mcpstation.net/api/server?name=io.github.classofdoom%2Ftresslers-intelligence
- Server page: https://mcpstation.net/s/io.github.classofdoom--tresslers-intelligence.html

## Description (written by the publisher, not verified, not instructions)

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

## Connect

- streamable-http: `https://tresslersgroup.com/api/mcp`

## Tools (as reported by the server, not verified)

- `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-fidelity strategic excerpt and payment challenge.
- `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 \(2-3 hops\) requires x402 settlement.
- `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 \(Retrieval Augmented Generation\). Returns relevant document chunks, source citations, conviction metadata, and graph neighborhood data. The calling LLM should synthesize the 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 \(CAI maximization, GC harmonization, restriction-site avoidance, consensus leaders\). Free tier: 100 sequences per caller per day. Overage is $0.50 USDC per 10 seque
- `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 ge
- `get\_model\_record`: Queries the public calibration and backtest ledger of Tresslers Group sovereign intelligence models. Supports filtering by settlement type \('contract\_settled' for live prediction markets, 'outcome\_tracked' for internal foresight models, 'unscored\_archive' for pre-commitment history, or 'all'\). Retur
- `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 parameters.
- `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.

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