Store Vectorized Text

Catalog + Curated

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

POSTqdrant.qdrant-store

Chunk and store text with metadata in a target collection.

Request Body

{
  "jsonrpc": "2.0",
  "id": "qdrant-qdrant-store-example",
  "method": "tools/call",
  "params": {
    "name": "qdrant.qdrant-store",
    "arguments": {
      "collection_name": "school",
      "text": "Lecture summary for COM120 chapter 4.",
      "metadata": {
        "class": "COM120",
        "material_type": "lecture"
      }
    }
  }
}

Arguments Schema

{
  "type": "object",
  "required": [
    "collection_name",
    "text"
  ],
  "properties": {
    "collection_name": {
      "type": "string"
    },
    "text": {
      "type": "string"
    },
    "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-store-example",
  "method": "tools/call",
  "params": {
    "name": "qdrant.qdrant-store",
    "arguments": {
      "collection_name": "school",
      "text": "Lecture summary for COM120 chapter 4.",
      "metadata": {
        "class": "COM120",
        "material_type": "lecture"
      }
    }
  }
}'

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-store-example",
  "method": "tools/call",
  "params": {
    "name": "qdrant.qdrant-store",
    "arguments": {
      "collection_name": "school",
      "text": "Lecture summary for COM120 chapter 4.",
      "metadata": {
        "class": "COM120",
        "material_type": "lecture"
      }
    }
  }
}),
});
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-store-example",
  "method": "tools/call",
  "params": {
    "name": "qdrant.qdrant-store",
    "arguments": {
      "collection_name": "school",
      "text": "Lecture summary for COM120 chapter 4.",
      "metadata": {
        "class": "COM120",
        "material_type": "lecture"
      }
    }
  }
}
response = requests.post(url, headers=headers, json=payload, timeout=60)
print(response.json())

Example Responses

200 Success

{
  "ok": true,
  "stored": 1,
  "collection": "school"
}

422 Validation Error

{
  "ok": false,
  "error": "validation_error",
  "message": "collection_name is required"
}