tresslers-group

{
  "$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": []
      }
    }
  ]
}