DATA/AGENT FOUNDRY

Free catalogue; paid historical software/security evidence. No current-risk assessment.

Sollte ich dies verwenden

Qualität und Sicherheit

A
Qualität der Beschreibung
100%
Vollständigkeit des Schemas
77%
Qualität der Benennung
80%
Risiko der Vergiftung
100%
Übereinstimmung der Berechtigungen
100%
Einhaltung des Protokolls
100%

Basierend auf einer automatisierten Analyse der Tool-Definitionen und der Einhaltung des Protokolls.

Kontextkosten

~862Tokens (Tool-Definitionen)
~1.8 KBTypische Antwortgröße
Mittlere Auswirkung auf die Aufmerksamkeit (0.67% von 128k Kontext)

Dies ist die ungefähre Anzahl der Tokens, die jedes Mal verbraucht werden, wenn die Tools des Servers in den Kontext eines Modells geladen werden. Höhere Werte verringern die Aufmerksamkeit, die für andere Aufgaben verfügbar ist.

Installieren

Installation mit einem Klick

Fügen Sie dies Ihrer Datei `claude_desktop_config.json` hinzu:

{
  "mcpServers": {
    "data-agent-foundry": {
      "url": "https://foundry-api-production-95ae.up.railway.app/mcp"
    }
  }
}

Remote-Endpunkte

https://foundry-api-production-95ae.up.railway.app/mcpstreamable-http

Was es kann

Tool-Inventar

Tools (4)

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🟢foundry_products(limit, cursor, view, task, subject, ...)

Free public discovery. Use {"view":"tasks","task":"exact_historical_evidence","subject":"postgresql"} to choose by historical task and held output, or {"view":"summary","limit":64} for the short offer index. Read {"product_id":"<exact listed ID>"} alone for the public contract before advertised selectors or a quote. Omitting view/product_id preserves the full catalogue, default3 and limit1..64/next_cursor. Zero task cards is not zero vulnerabilities; a summary or schema enum is not MATCH or current applicability.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "limit": {
      "type": "integer",
      "minimum": 1,
      "maximum": 64
    },
    "cursor": {
      "type": "string",
      "maxLength": 256
    },
    "view": {
      "type": "string",
      "enum": [
        "summary",
        "tasks"
      ]
    },
    "task": {
      "type": "string",
      "enum": [
        "correction_group_dossier",
        "declared_version_conditions",
        "exact_historical_evidence",
        "historical_comparison",
        "historical_support_end"
      ]
    },
    "subject": {
      "type": "string",
      "enum": [
        "apache_httpd",
        "cert_fr",
        "cisa_kev",
        "cpython",
        "go",
        "multi_source_cve",
        "postgresql"
      ]
    },
    "product_id": {
      "type": "string",
      "minLength": 1,
      "maxLength": 160
    }
  },
  "required": [],
  "additionalProperties": false,
  "allOf": [
    {
      "not": {
        "required": [
          "product_id",
          "view"
        ]
      }
    },
    {
      "not": {
        "required": [
          "product_id",
          "limit"
        ]
      }
    },
    {
      "not": {
        "required": [
          "product_id",
          "cursor"
        ]
      }
    },
    {
      "not": {
        "required": [
          "product_id",
          "task"
        ]
      }
    },
    {
      "not": {
        "required": [
          "product_id",
          "subject"
        ]
      }
    },
    {
      "if": {
        "not": {
          "required": [
            "product_id"
          ]
        }
      },
      "then": {
        "properties": {
          "limit": {
            "default": 3
          }
        }
      }
    },
    {
      "if": {
        "required": [
          "task"
        ]
      },
      "then": {
        "required": [
          "view"
        ],
        "properties": {
          "view": {
            "const": "tasks"
          }
        }
      }
    },
    {
      "if": {
        "required": [
          "subject"
        ]
      },
      "then": {
        "required": [
          "view"
        ],
        "properties": {
          "view": {
            "const": "tasks"
          }
        }
      }
    }
  ]
}
⚪foundry_selectors(product_id, limit, cursor, filters)

Discover exact held historical request parameters for a currently configured listed product. Free, no payment or purchased evidence; use next_cursor and exact filters. Currentness remains UNKNOWN.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "product_id": {
      "type": "string",
      "minLength": 1,
      "maxLength": 160
    },
    "limit": {
      "type": "integer",
      "minimum": 1,
      "maximum": 50,
      "default": 3
    },
    "cursor": {
      "type": "string",
      "minLength": 1,
      "maxLength": 256
    },
    "filters": {
      "type": "object",
      "properties": {
        "native_id": {
          "type": "string",
          "minLength": 1,
          "maxLength": 1024
        },
        "native_schema_version": {
          "type": "string",
          "minLength": 1,
          "maxLength": 1024
        },
        "snapshot_id": {
          "type": "string",
          "minLength": 1,
          "maxLength": 1024
        },
        "record_id": {
          "type": "string",
          "minLength": 1,
          "maxLength": 1024
        },
        "module": {
          "type": "string",
          "minLength": 1,
          "maxLength": 1024
        },
        "before_observation_id": {
          "type": "string",
          "minLength": 1,
          "maxLength": 1024
        },
        "after_observation_id": {
          "type": "string",
          "minLength": 1,
          "maxLength": 1024
        },
        "cve_id": {
          "type": "string",
          "minLength": 1,
          "maxLength": 1024
        }
      },
      "additionalProperties": false
    }
  },
  "required": [
    "product_id"
  ],
  "additionalProperties": false
}
⚪foundry_purchase(product_id, body)

Buy a configured public product by product_id and its exact business body. Generic clients receive a payment challenge; paying requires an external authorized client.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "product_id": {
      "type": "string",
      "minLength": 1,
      "maxLength": 256
    },
    "body": {
      "type": "object"
    }
  },
  "required": [
    "product_id",
    "body"
  ],
  "additionalProperties": false
}
🟢foundry_purchase_read(authorization_id, original_request, cursor)

Read/recover this exact original purchase through existing HTTP READ authentication. Never signs or settles. Supply cursor for an existing result page.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "authorization_id": {
      "type": "string",
      "pattern": "^x402_auth_[a-f0-9]{64}$"
    },
    "original_request": {
      "type": "object"
    },
    "cursor": {
      "type": "string",
      "minLength": 1,
      "maxLength": 8192
    }
  },
  "required": [
    "authorization_id",
    "original_request"
  ],
  "additionalProperties": false
}

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