Ingest Document

Catalog + Curated

This page is generated from the full broker catalog and enhanced with curated examples.

POSTqdrant.qdrant-ingest-document

Ingest general documents/content (document workflow) from source URL or inline text.

Request Body

{
  "jsonrpc": "2.0",
  "id": "qdrant-qdrant-ingest-document-example",
  "method": "tools/call",
  "params": {
    "name": "qdrant.qdrant-ingest-document",
    "arguments": {
      "collection_name": "school",
      "source_url": "https://files.example.com/course-rubric.pdf",
      "file_name": "course-rubric.pdf",
      "file_type": "pdf",
      "chunk_size": 1200,
      "chunk_overlap": 150,
      "metadata": {
        "class": "COM120",
        "material_type": "rubric"
      }
    }
  }
}

Arguments Schema

{
  "type": "object",
  "required": [
    "collection_name"
  ],
  "properties": {
    "collection_name": {
      "type": "string"
    },
    "source_url": {
      "type": "string"
    },
    "text": {
      "type": "string"
    },
    "file_name": {
      "type": "string"
    },
    "file_type": {
      "type": "string"
    },
    "chunk_size": {
      "type": "number",
      "minimum": 100
    },
    "chunk_overlap": {
      "type": "number",
      "minimum": 0
    },
    "metadata": {
      "type": "object",
      "additionalProperties": true
    }
  },
  "additionalProperties": false
}

Code Examples

cURL

curl -X POST 'https://madpanda3d.com/lab/mad-mcps/portal/api/mcp' \
  -H 'Authorization: Bearer mad_live_***' \
  -H 'Content-Type: application/json' \
  -d '{
  "jsonrpc": "2.0",
  "id": "qdrant-qdrant-ingest-document-example",
  "method": "tools/call",
  "params": {
    "name": "qdrant.qdrant-ingest-document",
    "arguments": {
      "collection_name": "school",
      "source_url": "https://files.example.com/course-rubric.pdf",
      "file_name": "course-rubric.pdf",
      "file_type": "pdf",
      "chunk_size": 1200,
      "chunk_overlap": 150,
      "metadata": {
        "class": "COM120",
        "material_type": "rubric"
      }
    }
  }
}'

Node.js

const response = await fetch('https://madpanda3d.com/lab/mad-mcps/portal/api/mcp', {
  method: 'POST',
  headers: {
    Authorization: 'Bearer mad_live_***',
    'Content-Type': 'application/json',
  },
  body: JSON.stringify({
  "jsonrpc": "2.0",
  "id": "qdrant-qdrant-ingest-document-example",
  "method": "tools/call",
  "params": {
    "name": "qdrant.qdrant-ingest-document",
    "arguments": {
      "collection_name": "school",
      "source_url": "https://files.example.com/course-rubric.pdf",
      "file_name": "course-rubric.pdf",
      "file_type": "pdf",
      "chunk_size": 1200,
      "chunk_overlap": 150,
      "metadata": {
        "class": "COM120",
        "material_type": "rubric"
      }
    }
  }
}),
});
const data = await response.json();
console.log(data);

Python

import requests

url = 'https://madpanda3d.com/lab/mad-mcps/portal/api/mcp'
headers = {
    'Authorization': 'Bearer mad_live_***',
    'Content-Type': 'application/json',
}
payload = {
  "jsonrpc": "2.0",
  "id": "qdrant-qdrant-ingest-document-example",
  "method": "tools/call",
  "params": {
    "name": "qdrant.qdrant-ingest-document",
    "arguments": {
      "collection_name": "school",
      "source_url": "https://files.example.com/course-rubric.pdf",
      "file_name": "course-rubric.pdf",
      "file_type": "pdf",
      "chunk_size": 1200,
      "chunk_overlap": 150,
      "metadata": {
        "class": "COM120",
        "material_type": "rubric"
      }
    }
  }
}
response = requests.post(url, headers=headers, json=payload, timeout=60)
print(response.json())

Example Responses

200 Success

{
  "ok": true,
  "chunksIngested": 124,
  "collection": "school"
}

422 Validation Error

{
  "ok": false,
  "error_code": "validation_error",
  "suggested_http_status": 422,
  "stage": "submit",
  "message": "collection_name is required"
}