List Collections

Immutable Catalog + Curated Guide

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

READqdrant.qdrant-list-collections

• Contract tier: agent_ready
• Risk: read
• Catalog version: qdrant-2026.07.12.2
• Descriptor hash: ce0bec24a8d41a22253349547cab187ded82b3e537adae4960f398a2dde3c4a1

Return collections currently available for the configured cluster.

Request Body

{
  "jsonrpc": "2.0",
  "id": "qdrant-qdrant-list-collections-example",
  "method": "tools/call",
  "params": {
    "name": "qdrant.qdrant-list-collections",
    "arguments": {}
  }
}

Arguments Schema

{
  "type": "object",
  "title": "Qdrant List Collections input",
  "properties": {},
  "description": "Validated input contract for the qdrant-list-collections 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-list-collections: list Qdrant collections visible to the configured account.",
      "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-list-collections-example",
  "method": "tools/call",
  "params": {
    "name": "qdrant.qdrant-list-collections",
    "arguments": {}
  }
}'

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-list-collections-example",
  "method": "tools/call",
  "params": {
    "name": "qdrant.qdrant-list-collections",
    "arguments": {}
  }
}),
});
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-list-collections-example",
  "method": "tools/call",
  "params": {
    "name": "qdrant.qdrant-list-collections",
    "arguments": {}
  }
}
response = requests.post(url, headers=headers, json=payload, timeout=60)
print(response.json())

Example Responses

200 Success

{
  "ok": true,
  "collections": [
    {
      "name": "school",
      "vectorsCount": 142233
    },
    {
      "name": "jarvis-knowledge-base",
      "vectorsCount": 9055
    }
  ]
}

503 Upstream Unavailable

{
  "ok": false,
  "classification": "upstream_http_error",
  "message": "QDRANT connector call failed for qdrant-list-collections."
}