Server definition

Hash: sha256:27cd66e54d5cc97048785dc1a5e569d880532bab8ef6b6da3c0967b35a407c3e
What it is: What a remote MCP server returned when asked what it offers: 8 tools

The blob, as servednamed by its sha256

{
  "instructions": "Bol.ai extracts structured data from Bill of Lading documents. Use extract_bol with a url or base64 content.",
  "tools": [
    {
      "description": "Export completed extractions as TMS/ERP-ready normalized line rows (one row per container / invoice line / package / goods line), newest first. Optional doc_type filter and max_rows cap. Corrected data wins over the original extraction. For CSV/XLSX files use GET /api/bol/export on the REST API.",
      "inputSchema": {
        "properties": {
          "max_rows": {
            "description": "Maximum rows to return (default 500)",
            "type": "number"
          },
          "type": {
            "description": "Only include documents of this type",
            "enum": [
              "bill_of_lading",
              "commercial_invoice",
              "packing_list",
              "cmr"
            ],
            "type": "string"
          }
        },
        "type": "object"
      },
      "name": "export_documents",
      "outputSchema": null
    },
    {
      "description": "Extract up to 10 freight documents in one call. Provide an array of fetchable URLs; each document is processed and billed independently, and the response reports a per-document outcome so partial success (e.g. running out of credits mid-batch) is explicit.",
      "inputSchema": {
        "properties": {
          "urls": {
            "description": "URLs of documents to fetch and extract (max 10)",
            "items": {
              "type": "string"
            },
            "maxItems": 10,
            "minItems": 1,
            "type": "array"
          }
        },
        "required": [
          "urls"
        ],
        "type": "object"
      },
      "name": "extract_batch",
      "outputSchema": null
    },
    {
      "description": "Extract structured data from a freight document (PDF, PNG or JPG, max 10 MB): Bill of Lading, commercial invoice, packing list, or CMR road waybill. The document type is detected automatically and returned as `doc_type`. Provide either a fetchable `url` or `base64` file content. Fields not present in the document are null — never guessed. Each successful extraction bills one document.",
      "inputSchema": {
        "properties": {
          "base64": {
            "description": "Base64-encoded file content (alternative to url)",
            "type": "string"
          },
          "filename": {
            "description": "Filename including extension, e.g. shipment-4711.pdf",
            "type": "string"
          },
          "url": {
            "description": "URL of the document to fetch and extract",
            "type": "string"
          }
        },
        "type": "object"
      },
      "name": "extract_bol",
      "outputSchema": null
    },
    {
      "description": "Get the extraction result for a document by id: doc_type, extracted fields, user corrections (when present), and deterministic verification warnings (ISO 6346 container check digits, plausibility flags). `fields` is the best available data (corrections win); `original_fields` and `corrected_fields` show both sides.",
      "inputSchema": {
        "properties": {
          "id": {
            "description": "Document id",
            "type": "string"
          }
        },
        "required": [
          "id"
        ],
        "type": "object"
      },
      "name": "get_document",
      "outputSchema": null
    },
    {
      "description": "Cross-document reconciliation: find the other documents in this shipment (linked by shared reference numbers such as B/L number and invoice number) and compare them field by field — shipper/seller and consignee/buyer names, total gross weight (5% tolerance) and package counts. Returns matches and mismatches per linked document. Catches the discrepancies that cause customs holds, amended entries and demurrage. Deterministic — no extra document billed.",
      "inputSchema": {
        "properties": {
          "id": {
            "description": "Document id to reconcile against the rest of the account",
            "type": "string"
          }
        },
        "required": [
          "id"
        ],
        "type": "object"
      },
      "name": "get_related_documents",
      "outputSchema": null
    },
    {
      "description": "Check this account's remaining prepaid credits and subscription status. Call this before large batches to avoid running out of credits mid-workflow. When the account cannot bill more documents, a human can top up at the returned buy_credits_url.",
      "inputSchema": {
        "properties": {},
        "type": "object"
      },
      "name": "get_usage",
      "outputSchema": null
    },
    {
      "description": "List the 100 most recent documents for this account with id, filename, status (pending/done/failed), doc_type and primary reference number.",
      "inputSchema": {
        "properties": {},
        "type": "object"
      },
      "name": "list_documents",
      "outputSchema": null
    },
    {
      "description": "Save corrected field values for an extracted document. The original extraction is kept alongside the corrections; corrected data takes precedence in get_document, exports and reconciliation. Pass the complete corrected fields object (same shape as returned by get_document).",
      "inputSchema": {
        "properties": {
          "fields": {
            "description": "Complete corrected fields object, including doc_type",
            "type": "object"
          },
          "id": {
            "description": "Document id",
            "type": "string"
          }
        },
        "required": [
          "id",
          "fields"
        ],
        "type": "object"
      },
      "name": "save_corrections",
      "outputSchema": null
    }
  ]
}

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