Qdrant Collection Payload Schema
Immutable Catalog Entry
This descriptor comes from the active versioned Portal catalog.
- Contract tier:
agent_ready - Risk:
read - Catalog version:
qdrant-2026.07.12.2 - Descriptor hash:
c0c48febec6be6ffc03a7a539920dca4f0ced868b83e4830c7bb7b517d92791b
Use this when you need to list a collection's payload schema and indexed fields. It does not intentionally change Qdrant or MCP state. It contacts the configured Qdrant service or uses MCP-owned job/upload state. Returns normalized provider data in data plus safe request and trace metadata in meta. Requires an authenticated MAD MCP Portal request and any provider configuration named by the input schema.
Request Body
{
"jsonrpc": "2.0",
"id": "qdrant-qdrant-collection-payload-schema-example",
"method": "tools/call",
"params": {
"name": "qdrant.qdrant-collection-payload-schema",
"arguments": {
"collection_name": "collection_name_example"
}
}
}
Arguments Schema
{
"type": "object",
"title": "Qdrant Collection Payload Schema input",
"properties": {
"collection_name": {
"type": "string",
"title": "Collection Name",
"default": "",
"description": "Validated collection name input used by Qdrant Collection Payload Schema; follow the type, limits, and defaults in this schema."
}
},
"description": "Validated input contract for the qdrant-collection-payload-schema 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-collection-payload-schema: list a collection's payload schema and indexed fields.",
"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
- Node.js
- Python
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-collection-payload-schema-example",
"method": "tools/call",
"params": {
"name": "qdrant.qdrant-collection-payload-schema",
"arguments": {
"collection_name": "collection_name_example"
}
}
}'
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-collection-payload-schema-example",
"method": "tools/call",
"params": {
"name": "qdrant.qdrant-collection-payload-schema",
"arguments": {
"collection_name": "collection_name_example"
}
}
}),
});
const data = await response.json();
console.log(data);
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-collection-payload-schema-example",
"method": "tools/call",
"params": {
"name": "qdrant.qdrant-collection-payload-schema",
"arguments": {
"collection_name": "collection_name_example"
}
}
}
response = requests.post(url, headers=headers, json=payload, timeout=60)
print(response.json())
Example Responses
- 200 Success
- 502 Upstream Error
{
"ok": true,
"message": "Tool qdrant.qdrant-collection-payload-schema executed successfully.",
"note": "Response shape varies by MCP tool. Inspect live responses for exact fields."
}
{
"ok": false,
"classification": "upstream_http_error",
"message": "Upstream MCP returned a non-success status."
}