Server definition

Hash: sha256:6d7370b8dad325233f5a100418566036e5338d9cfbd4c1953803762816ffb598
What it is: What a remote MCP server returned when asked what it offers: 11 tools

The blob, as servednamed by its sha256

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

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