MCP Server
Tresslers Intelligence MCP Server
io.github.classofdoom/tresslers-intelligence
What this MCP does
Searches and retrieves intelligence dossiers and knowledge-graph context, provides model and prediction records, and performs restricted in-silico codon optimization.
Capabilities
Tools
11
tools
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.
Input schema
{'type': 'object', 'required': ['question'], 'properties': {'question': {'type': 'string', 'description': "Natural language question (e.g., 'What are the key geopolitical risks in sovereign AI policy?')."}, 'max_sources': {'type': 'number', 'description': 'Maximum number of source dossier chunks to retrieve (default 5, max 8).'}}}
Output schema
{'type': 'object', 'properties': {'content': {'type': 'array', 'items': {'type': 'object', 'properties': {'text': {'type': 'string', 'description': 'Structured RAG response object with chunks, source citations, conviction metadata, and graph neighborhood.'}, 'type': {'type': 'string'}}}}}}
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.
Input schema
{'type': 'object', 'properties': {'limit': {'type': 'number', 'description': 'Maximum number of Alpha Gap records to return.'}, 'status': {'enum': ['ALL', 'RESOLVED', 'PENDING', 'CONTRACT_SETTLED', 'OUTCOME_TRACKED'], 'type': 'string', 'description': "Filter by status or settlement type (e.g., 'CONTRACT_SETTLED', 'OUTCOME_TRACKED', 'RESOLVED', 'PENDING', 'ALL')."}, 'category': {'type': 'string', 'description': 'Optional filter by strategic intelligence domain.'}, 'min_divergence': {'type': 'number', 'description': 'Minimum absolute divergence gap in percentage points (e.g. 20 for >= 20% gap).'}, 'settlement_type': {'enum': ['all', 'contract_settled', 'outcome_tracked', 'unscored_archive'], 'type': 'string', 'description': "Filter by settlement tier: 'contract_settled', 'outcome_tracked', 'unscored_archive', or 'all'."}}}
Output schema
{'type': 'object', 'properties': {'content': {'type': 'array', 'items': {'type': 'object', 'properties': {'text': {'type': 'string', 'description': 'JSON representation of prediction market alpha gaps, model odds, Polymarket odds, and Brier calibration scores.'}, 'type': {'type': 'string'}}}}}}
get_dossier_delta
Queries intelligence updates and conviction deltas attested since a specific UTC timestamp.
Input schema
{'type': 'object', 'required': ['since_timestamp'], 'properties': {'since_timestamp': {'type': 'string', 'description': "ISO UTC timestamp (e.g., '2026-05-01T00:00:00Z')."}}}
Output schema
{'type': 'object', 'properties': {'content': {'type': 'array', 'items': {'type': 'object', 'properties': {'text': {'type': 'string', 'description': 'JSON object listing dossier updates and conviction deltas since timestamp.'}, 'type': {'type': 'string'}}}}}}
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.
Input schema
{'type': 'object', 'required': [], 'properties': {'status': {'enum': ['ALL', 'RESOLVED', 'PENDING'], 'type': 'string', 'description': "Filter by resolution status (default: 'ALL')."}, 'category': {'type': 'string', 'description': 'Optional filter by intelligence pillar/category.'}, 'settlement_type': {'enum': ['all', 'contract_settled', 'outcome_tracked', 'unscored_archive'], 'type': 'string', 'description': "Filter by settlement tier: 'contract_settled' (live prediction market order-books), 'outcome_tracked' (internal Bayesian foresight), 'unscored_archive' (pre-commitment era), or 'all' (default)."}}}
Output schema
{'type': 'object', 'properties': {'content': {'type': 'array', 'items': {'type': 'object', 'properties': {'text': {'type': 'string', 'description': 'JSON representation of calibration statistics, hit/miss rates, and full verification records.'}, 'type': {'type': 'string'}}}}}}
list_dossiers
Returns a list of all available intelligence dossier slugs.
Input schema
{'type': 'object', 'required': [], 'properties': {}}
Output schema
{'type': 'object', 'properties': {'content': {'type': 'array', 'items': {'type': 'object', 'properties': {'text': {'type': 'string', 'description': 'JSON array of available intelligence dossier slugs.'}, 'type': {'type': 'string'}}}}}}
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 sequence optimization is strictly prohibited under 42 CFR 73 and BWC compliance. Free and open to all AI agents.
Input schema
{'type': 'object', 'required': ['sequence'], 'properties': {'host': {'enum': ['e_coli', 'h_sapiens', 'c_griseus', 's_cerevisiae', 'p_pastoris', 'v_natriegens', 'n_benthamiana', 'a_thaliana'], 'type': 'string', 'description': "Target expression organism: 'e_coli', 'h_sapiens' (HEK293), 'c_griseus' (CHO), 's_cerevisiae', 'p_pastoris', 'v_natriegens', 'n_benthamiana', 'a_thaliana'. Default: 'e_coli'"}, 'sequence': {'type': 'string', 'description': "Amino acid sequence (single-letter uppercase e.g. 'MSKGEELFT...') or DNA coding sequence to optimize."}, 'gc_target': {'type': 'number', 'description': 'Target global GC percentage (e.g., 52 for E. coli, 58 for Human). Optional.'}}}
Output schema
{'type': 'object', 'properties': {'content': {'type': 'array', 'items': {'type': 'object', 'properties': {'text': {'type': 'string', 'description': 'JSON representation of optimized DNA sequence, CAI score, GC content, and upstream consensus leader.'}, 'type': {'type': 'string'}}}}}}
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.
Input schema
{'type': 'object', 'required': ['entity_id'], 'properties': {'depth': {'type': 'number', 'description': 'Graph traversal hop depth (1 for free preview, 2 to 3 for deep reasoning).'}, 'entity_id': {'type': 'string', 'description': "Target conceptual entity or dossier slug (e.g., 'Quantum AI', 'ThinkForge')."}, 'payment_proof': {'type': 'string', 'description': 'Standard x402 signed USDC transaction proof (0x...). Required for multi-hop graph access.'}}}
Output schema
{'type': 'object', 'properties': {'content': {'type': 'array', 'items': {'type': 'object', 'properties': {'text': {'type': 'string', 'description': 'GraphRAG entity neighborhood JSON structure.'}, 'type': {'type': 'string'}}}}}}
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.
Input schema
{'type': 'object', 'required': ['slug'], 'properties': {'slug': {'type': 'string', 'description': "The slug of the dossier to read (e.g., 'sovereign-ai-state-national-policy-2026')."}, 'payment_proof': {'type': 'string', 'description': 'Standard x402 signed USDC transaction proof (0x...). Required for full decrypted access.'}}}
Output schema
{'type': 'object', 'properties': {'content': {'type': 'array', 'items': {'type': 'object', 'properties': {'text': {'type': 'string', 'description': 'Full dossier text content or x402 payment challenge JSON.'}, 'type': {'type': 'string'}}}}, 'isError': {'type': 'boolean'}}}
search_dossiers
Searches and filters across all published Tresslers Group intelligence dossiers by keywords, strategic domain/category, tags, or conviction threshold.
Input schema
{'type': 'object', 'required': ['query'], 'properties': {'tag': {'type': 'string', 'description': "Optional tag filter (e.g., 'sovereign-ai', 'energy-transition')."}, 'limit': {'type': 'number', 'description': 'Maximum number of dossiers to return (default: 5, max: 20).'}, 'query': {'type': 'string', 'description': 'Search query or keywords to match across title, excerpt, content, and tags.'}, 'category': {'type': 'string', 'description': "Optional category filter (e.g., 'Geopolitics & Sovereign Policy', 'Energy & Infrastructure')."}, 'min_conviction': {'type': 'number', 'description': 'Minimum conviction threshold (0.0 to 1.0, e.g., 0.85).'}}}
Output schema
{'type': 'object', 'properties': {'content': {'type': 'array', 'items': {'type': 'object', 'properties': {'text': {'type': 'string', 'description': 'JSON representation of matching dossiers with scores, excerpts, and metadata.'}, 'type': {'type': 'string'}}}}}}
search_intelligence_matrix
Executes a semantic vector similarity search across the entire ThinkForge intelligence substrate. Returns relevant snippets and strategic conviction metadata.
Input schema
{'type': 'object', 'required': ['query'], 'properties': {'limit': {'type': 'number', 'description': 'Max results to return (default 5, max 10).'}, 'query': {'type': 'string', 'description': "Semantic research question (e.g., 'What are the geopolitical vulnerabilities in green hydrogen supply chains?')."}, 'filter': {'type': 'string', 'description': "Optional SQL-like metadata filter (e.g., 'convictionScore >= 0.85')."}}}
Output schema
{'type': 'object', 'properties': {'content': {'type': 'array', 'items': {'type': 'object', 'properties': {'text': {'type': 'string', 'description': 'JSON array of matching semantic intelligence chunks with similarity scores and conviction metadata.'}, 'type': {'type': 'string'}}}}}}
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.
Input schema
{'type': 'object', 'properties': {'hash': {'type': 'string', 'description': '64-character lowercase hexadecimal SHA-256 commitment digest.'}, 'preimage': {'type': 'string', 'description': 'Full pipe-delimited UTF-8 canonical preimage string (YYYY-MM-DD|question|model_odds|target_dossier_slug).'}, 'model_odds': {'type': 'number', 'description': 'Model odds integer component (0-100).'}, 'dossier_slug': {'type': 'string', 'description': 'Target dossier slug component.'}, 'dispatch_date': {'type': 'string', 'description': 'Dispatch date component (YYYY-MM-DD).'}, 'market_question': {'type': 'string', 'description': 'Exact market question component.'}, 'canonical_preimage': {'type': 'string', 'description': 'Alternative key for canonical preimage string.'}}}
Output schema
{'type': 'object', 'properties': {'content': {'type': 'array', 'items': {'type': 'object', 'properties': {'text': {'type': 'string', 'description': 'JSON representation of cryptographic verification result, resolution details, and integrity proof.'}, 'type': {'type': 'string'}}}}}}
History
Recent tool changes
Added
get_alpha_gap
Sept. 28, 2026, 2:40 a.m.
Added
verify_commitment
Sept. 28, 2026, 2:40 a.m.
Added
search_dossiers
Sept. 28, 2026, 2:40 a.m.
Added
get_model_record
Sept. 28, 2026, 2:40 a.m.
Added
optimize_codon
Sept. 28, 2026, 2:40 a.m.
Added
ask_intelligence_rag
Sept. 28, 2026, 2:40 a.m.
Added
get_dossier_delta
Sept. 28, 2026, 2:40 a.m.
Added
query_knowledge_graph
Sept. 28, 2026, 2:40 a.m.
Added
search_intelligence_matrix
Sept. 28, 2026, 2:40 a.m.
Added
read_dossier
Sept. 28, 2026, 2:40 a.m.
Added
list_dossiers
Sept. 28, 2026, 2:40 a.m.
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