Store Vectorized Text

Immutable Catalog + Curated Guide

This lossless descriptor comes from the active Portal catalog and is enhanced with reviewed examples.

WRITEqdrant.qdrant-store

• Contract tier: agent_ready
• Risk: write
• Catalog version: qdrant-2026.07.12.2
• Descriptor hash: 8b14634013029c032ba6ae01066bcf7148717bb38cfeaacd8ef77d63826ba93f

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",
  "title": "Qdrant Store input",
  "required": [
    "information",
    "collection_name"
  ],
  "properties": {
    "metadata": {
      "anyOf": [
        {
          "type": "object",
          "additionalProperties": true
        },
        {
          "type": "null"
        }
      ],
      "title": "Metadata",
      "default": null,
      "description": "Memory metadata (type, entities, source, scope, timestamps, confidence)."
    },
    "information": {
      "type": "string",
      "title": "Information",
      "description": "Text to store"
    },
    "dedupe_action": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Dedupe Action",
      "default": null,
      "description": "How to handle duplicates: update or skip. Defaults to MCP_DEDUPE_ACTION."
    },
    "collection_name": {
      "type": "string",
      "title": "Collection Name",
      "description": "The collection to store the information in"
    }
  },
  "description": "Validated input contract for the qdrant-store native Qdrant MCP tool."
}

Output Schema

{
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "required": [
    "data",
    "meta"
  ],
  "properties": {
    "data": {
      "type": "object",
      "description": "Normalized result data for qdrant-store: store one normalized memory and return its stable point identifier.",
      "additionalProperties": true
    },
    "meta": {
      "type": "object",
      "properties": {
        "bytes_in": {
          "type": "integer",
          "description": "Approximate serialized input byte count."
        },
        "warnings": {
          "type": "array",
          "items": {
            "type": "string"
          },
          "description": "Safe recovery warnings."
        },
        "bytes_out": {
          "type": "integer",
          "description": "Approximate serialized output byte count."
        },
        "elapsed_ms": {
          "type": "integer",
          "description": "Tool execution time in milliseconds."
        },
        "request_id": {
          "type": "string",
          "description": "Stable request trace identifier."
        },
        "server_version": {
          "type": "string",
          "description": "Deployed source revision when available."
        },
        "serialization_ms": {
          "type": "integer",
          "description": "Response serialization time in milliseconds."
        },
        "server_uptime_ms": {
          "type": "integer",
          "description": "Server process uptime in milliseconds."
        },
        "server_instance_id": {
          "type": "string",
          "description": "Ephemeral server-process identifier."
        }
      },
      "description": "Secret-safe request, trace, size, timing, and warning metadata.",
      "additionalProperties": true
    }
  },
  "description": "Qdrant MCP normalized response envelope.",
  "additionalProperties": false
}

Code Examples

cURL

curl -X POST 'https://portal.madpanda3d.com/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://portal.madpanda3d.com/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://portal.madpanda3d.com/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"
}