Tresslers Intelligence MCP Server

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

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Calidad y seguridad

A
Calidad de la descripción
96%
Integridad del esquema
91%
Calidad de los nombres
96%
Riesgo de envenenamiento
100%
Coincidencia de permisos
100%
Cumplimiento del protocolo
100%

Basado en el análisis automatizado de las definiciones de herramientas y el cumplimiento del protocolo.

Costo de contexto

~2,558Tokens (definiciones de herramientas)
~2.1 KBTamaño de respuesta típico
Impacto moderado en la atención (2.00% del contexto de 128k)

Este es el número aproximado de tokens que se consumen cada vez que las herramientas del servidor se cargan en el contexto de un modelo. Los recuentos más altos reducen la atención disponible para otras tareas.

Instalar

Instalación con un clic

Agrega esto a tu archivo `claude_desktop_config.json`:

{
  "mcpServers": {
    "tresslers-intelligence": {
      "url": "https://tresslersgroup.com/api/mcp"
    }
  }
}

Puntos de conexión remotos

https://tresslersgroup.com/api/mcpstreamable-http

Qué puede hacer

Inventario de herramientas

Herramientas (11)

🟢 Solo lectura🟡 Escritura🔴 Eliminación⚪ Desconocido
🟢list_dossiers

Returns a list of all available intelligence dossier slugs.

Esquema de entrada

{
  "type": "object",
  "properties": {},
  "required": []
}

Esquema de salida

{
  "type": "object",
  "properties": {
    "content": {
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "type": {
            "type": "string"
          },
          "text": {
            "type": "string",
            "description": "JSON array of available intelligence dossier slugs."
          }
        }
      }
    }
  }
}
🟢read_dossier(slug, payment_proof)

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.

Esquema de entrada

{
  "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 for full decrypted access."
    }
  },
  "required": [
    "slug"
  ]
}

Esquema de salida

{
  "type": "object",
  "properties": {
    "content": {
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "type": {
            "type": "string"
          },
          "text": {
            "type": "string",
            "description": "Full dossier text content or x402 payment challenge JSON."
          }
        }
      }
    },
    "isError": {
      "type": "boolean"
    }
  }
}
🟢search_intelligence_matrix(query, filter, limit)

Executes a semantic vector similarity search across the entire ThinkForge intelligence substrate. Returns relevant snippets and strategic conviction metadata.

Esquema de entrada

{
  "type": "object",
  "properties": {
    "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')."
    },
    "limit": {
      "type": "number",
      "description": "Max results to return (default 5, max 10)."
    }
  },
  "required": [
    "query"
  ]
}

Esquema de salida

{
  "type": "object",
  "properties": {
    "content": {
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "type": {
            "type": "string"
          },
          "text": {
            "type": "string",
            "description": "JSON array of matching semantic intelligence chunks with similarity scores and conviction metadata."
          }
        }
      }
    }
  }
}
🟢query_knowledge_graph(entity_id, depth, payment_proof)

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.

Esquema de entrada

{
  "type": "object",
  "properties": {
    "entity_id": {
      "type": "string",
      "description": "Target conceptual entity or dossier slug (e.g., 'Quantum AI', 'ThinkForge')."
    },
    "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 (0x...). Required for multi-hop graph access."
    }
  },
  "required": [
    "entity_id"
  ]
}

Esquema de salida

{
  "type": "object",
  "properties": {
    "content": {
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "type": {
            "type": "string"
          },
          "text": {
            "type": "string",
            "description": "GraphRAG entity neighborhood JSON structure."
          }
        }
      }
    }
  }
}
🟢get_dossier_delta(since_timestamp)

Queries intelligence updates and conviction deltas attested since a specific UTC timestamp.

Esquema de entrada

{
  "type": "object",
  "properties": {
    "since_timestamp": {
      "type": "string",
      "description": "ISO UTC timestamp (e.g., '2026-05-01T00:00:00Z')."
    }
  },
  "required": [
    "since_timestamp"
  ]
}

Esquema de salida

{
  "type": "object",
  "properties": {
    "content": {
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "type": {
            "type": "string"
          },
          "text": {
            "type": "string",
            "description": "JSON object listing dossier updates and conviction deltas since timestamp."
          }
        }
      }
    }
  }
}
⚪ask_intelligence_rag(question, max_sources)

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.

Esquema de entrada

{
  "type": "object",
  "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)."
    }
  },
  "required": [
    "question"
  ]
}

Esquema de salida

{
  "type": "object",
  "properties": {
    "content": {
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "type": {
            "type": "string"
          },
          "text": {
            "type": "string",
            "description": "Structured RAG response object with chunks, source citations, conviction metadata, and graph neighborhood."
          }
        }
      }
    }
  }
}
🟢optimize_codon(sequence, host, gc_target)

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.

Esquema de entrada

{
  "type": "object",
  "properties": {
    "sequence": {
      "type": "string",
      "description": "Amino acid sequence (single-letter uppercase e.g. 'MSKGEELFT...') or DNA coding sequence to optimize."
    },
    "host": {
      "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'",
      "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 (e.g., 52 for E. coli, 58 for Human). Optional."
    }
  },
  "required": [
    "sequence"
  ]
}

Esquema de salida

{
  "type": "object",
  "properties": {
    "content": {
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "type": {
            "type": "string"
          },
          "text": {
            "type": "string",
            "description": "JSON representation of optimized DNA sequence, CAI score, GC content, and upstream consensus leader."
          }
        }
      }
    }
  }
}
🟢get_model_record(settlement_type, status, category)

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.

Esquema de entrada

{
  "type": "object",
  "properties": {
    "settlement_type": {
      "type": "string",
      "enum": [
        "all",
        "contract_settled",
        "outcome_tracked",
        "unscored_archive"
      ],
      "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)."
    },
    "status": {
      "type": "string",
      "enum": [
        "ALL",
        "RESOLVED",
        "PENDING"
      ],
      "description": "Filter by resolution status (default: 'ALL')."
    },
    "category": {
      "type": "string",
      "description": "Optional filter by intelligence pillar/category."
    }
  },
  "required": []
}

Esquema de salida

{
  "type": "object",
  "properties": {
    "content": {
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "type": {
            "type": "string"
          },
          "text": {
            "type": "string",
            "description": "JSON representation of calibration statistics, hit/miss rates, and full verification records."
          }
        }
      }
    }
  }
}
🟢search_dossiers(query, category, tag, limit, min_conviction)

Searches and filters across all published Tresslers Group intelligence dossiers by keywords, strategic domain/category, tags, or conviction threshold.

Esquema de entrada

{
  "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"
  ]
}

Esquema de salida

{
  "type": "object",
  "properties": {
    "content": {
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "type": {
            "type": "string"
          },
          "text": {
            "type": "string",
            "description": "JSON representation of matching dossiers with scores, excerpts, and metadata."
          }
        }
      }
    }
  }
}
⚪verify_commitment(hash, preimage, canonical_preimage, dispatch_date, market_question, ...)

Cryptographically verifies a predictive alpha pre-commitment against the immutable SHA-256 ledger using either a 64-character hash digest or canonical preimage parameters.

Esquema de entrada

{
  "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."
    }
  }
}

Esquema de salida

{
  "type": "object",
  "properties": {
    "content": {
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "type": {
            "type": "string"
          },
          "text": {
            "type": "string",
            "description": "JSON representation of cryptographic verification result, resolution details, and integrity proof."
          }
        }
      }
    }
  }
}
🟢get_alpha_gap(status, settlement_type, min_divergence, category, limit)

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.

Esquema de entrada

{
  "type": "object",
  "properties": {
    "status": {
      "type": "string",
      "enum": [
        "ALL",
        "RESOLVED",
        "PENDING",
        "CONTRACT_SETTLED",
        "OUTCOME_TRACKED"
      ],
      "description": "Filter by status or settlement type (e.g., 'CONTRACT_SETTLED', 'OUTCOME_TRACKED', 'RESOLVED', 'PENDING', 'ALL')."
    },
    "settlement_type": {
      "type": "string",
      "enum": [
        "all",
        "contract_settled",
        "outcome_tracked",
        "unscored_archive"
      ],
      "description": "Filter by settlement tier: 'contract_settled', 'outcome_tracked', 'unscored_archive', or 'all'."
    },
    "min_divergence": {
      "type": "number",
      "description": "Minimum absolute divergence gap in percentage points (e.g. 20 for >= 20% gap)."
    },
    "category": {
      "type": "string",
      "description": "Optional filter by strategic intelligence domain."
    },
    "limit": {
      "type": "number",
      "description": "Maximum number of Alpha Gap records to return."
    }
  }
}

Esquema de salida

{
  "type": "object",
  "properties": {
    "content": {
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "type": {
            "type": "string"
          },
          "text": {
            "type": "string",
            "description": "JSON representation of prediction market alpha gaps, model odds, Polymarket odds, and Brier calibration scores."
          }
        }
      }
    }
  }
}

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