{ "$schema": "https://modelcontextprotocol.io/schema/mcp.json", "name": "tresslers-group", "title": "Tresslers Group Intelligence Gateway", "description": "Dynamic Model Context Protocol (MCP) server providing autonomous AI agents with sovereign intelligence dossiers, semantic matrix search, prediction market alpha gaps, and cryptographic SHA-256 pre-commitment verification.", "version": "2.2.0", "url": "https://tresslersgroup.com/api/mcp", "homepage": "https://tresslersgroup.com/mcp", "repository": "https://github.com/tresslersgroup/tresslers-website", "transports": [ { "type": "sse", "url": "https://tresslersgroup.com/api/mcp", "note": "Standard MCP SSE streaming (GET with Accept: text/event-stream)" }, { "type": "http", "url": "https://tresslersgroup.com/api/mcp", "note": "Stateless JSON-RPC 2.0 (POST)" } ], "authentication": { "type": "none", "notes": "Public discovery and standard querying are free. Deep RAG and multi-hop GraphRAG support optional machine-native x402 USDC micropayments." }, "capabilities": { "tools": { "listChanged": false }, "resources": {}, "prompts": {} }, "tools": [ { "name": "search_dossiers", "description": "Searches and filters across all published Tresslers Group intelligence dossiers by keywords, strategic domain/category, tags, or conviction threshold.", "inputSchema": { "type": "object", "properties": { "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')." }, "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)." }, "min_conviction": { "type": "number", "description": "Minimum conviction threshold (0.0 to 1.0, e.g., 0.85)." } }, "required": ["query"] } }, { "name": "verify_commitment", "description": "Cryptographically verifies a predictive alpha pre-commitment against the immutable SHA-256 ledger using either a 64-character hash digest or canonical preimage parameters.", "inputSchema": { "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)." }, "canonical_preimage": { "type": "string", "description": "Alternative key for canonical preimage string." }, "dispatch_date": { "type": "string", "description": "Dispatch date component (YYYY-MM-DD)." }, "market_question": { "type": "string", "description": "Exact market question component." }, "model_odds": { "type": "number", "description": "Model odds integer component (0-100)." }, "dossier_slug": { "type": "string", "description": "Target dossier slug component." } } } }, { "name": "get_alpha_gap", "description": "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.", "inputSchema": { "type": "object", "properties": { "status": { "type": "string", "enum": ["ALL", "RESOLVED", "PENDING", "CONTRACT_SETTLED", "OUTCOME_TRACKED"], "description": "Filter by status or settlement type." }, "settlement_type": { "type": "string", "enum": ["all", "contract_settled", "outcome_tracked", "unscored_archive"], "description": "Filter by settlement tier." }, "min_divergence": { "type": "number", "description": "Minimum absolute divergence gap in percentage points." }, "category": { "type": "string", "description": "Optional filter by strategic intelligence domain." }, "limit": { "type": "number", "description": "Maximum number of records to return." } } } }, { "name": "list_dossiers", "description": "Returns a list of all available intelligence dossier slugs.", "inputSchema": { "type": "object", "properties": {}, "required": [] } }, { "name": "read_dossier", "description": "Reads the pure text contents of a specific intelligence dossier. Requires x402 payment proof for premium intelligence.", "inputSchema": { "type": "object", "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": ["slug"] } }, { "name": "search_intelligence_matrix", "description": "Executes a semantic vector similarity search across the entire ThinkForge intelligence substrate. Returns relevant snippets and strategic conviction metadata.", "inputSchema": { "type": "object", "properties": { "query": { "type": "string", "description": "Semantic research question." }, "filter": { "type": "string", "description": "Optional SQL-like metadata filter." }, "limit": { "type": "number", "description": "Max results to return (default 5, max 10)." } }, "required": ["query"] } }, { "name": "query_knowledge_graph", "description": "Traverses the multi-hop conceptual knowledge graph across entities (GraphRAG).", "inputSchema": { "type": "object", "properties": { "entity_id": { "type": "string", "description": "Target conceptual entity or dossier slug." }, "depth": { "type": "number", "description": "Graph traversal hop depth (1 for free preview, 2 to 3 for deep reasoning)." }, "payment_proof": { "type": "string", "description": "Standard x402 signed USDC transaction proof." } }, "required": ["entity_id"] } }, { "name": "get_dossier_delta", "description": "Queries intelligence updates and conviction deltas attested since a specific UTC timestamp.", "inputSchema": { "type": "object", "properties": { "since_timestamp": { "type": "string", "description": "ISO UTC timestamp (e.g., '2026-05-01T00:00:00Z')." } }, "required": ["since_timestamp"] } }, { "name": "ask_intelligence_rag", "description": "Ask a natural-language question and receive structured intelligence context retrieved from Tresslers Group dossiers via RAG.", "inputSchema": { "type": "object", "properties": { "question": { "type": "string", "description": "Natural language question." }, "max_sources": { "type": "number", "description": "Maximum number of source dossier chunks to retrieve (default 5, max 8)." } }, "required": ["question"] } }, { "name": "optimize_codon", "description": "Optimizes a protein or cDNA coding sequence for maximal recombinant expression yield in a target host organism using the Logos biocomputing engine.", "inputSchema": { "type": "object", "properties": { "sequence": { "type": "string", "description": "Amino acid sequence or DNA coding sequence to optimize." }, "host": { "type": "string", "enum": ["e_coli", "h_sapiens", "c_griseus", "s_cerevisiae", "p_pastoris", "v_natriegens", "n_benthamiana", "a_thaliana"] }, "gc_target": { "type": "number", "description": "Target global GC percentage." } }, "required": ["sequence"] } }, { "name": "get_model_record", "description": "Queries the public calibration and backtest ledger of Tresslers Group sovereign intelligence models.", "inputSchema": { "type": "object", "properties": { "settlement_type": { "type": "string", "enum": ["all", "contract_settled", "outcome_tracked", "unscored_archive"] }, "status": { "type": "string", "enum": ["ALL", "RESOLVED", "PENDING"] }, "category": { "type": "string" } }, "required": [] } } ] }