Qdrant Get Points
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:
a04a581f516e0b02bf34c18ab9b7989d338bda5edce4bfaec89a0f7d3d754f75
Use this when you need to retrieve known Qdrant points by stable identifier. 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-get-points-example",
"method": "tools/call",
"params": {
"name": "qdrant.qdrant-get-points",
"arguments": {
"point_ids": [],
"collection_name": "collection_name_example",
"include_payload": false,
"include_vectors": false
}
}
}
Arguments Schema
{
"type": "object",
"title": "Qdrant Get Points input",
"required": [
"point_ids",
"collection_name"
],
"properties": {
"point_ids": {
"type": "array",
"items": {
"type": "string"
},
"title": "Point Ids",
"description": "Point ids to retrieve."
},
"collection_name": {
"type": "string",
"title": "Collection Name",
"description": "The collection containing the points."
},
"include_payload": {
"type": "boolean",
"title": "Include Payload",
"default": true,
"description": "Include payload data."
},
"include_vectors": {
"type": "boolean",
"title": "Include Vectors",
"default": false,
"description": "Include vector data."
}
},
"description": "Validated input contract for the qdrant-get-points 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-get-points: retrieve known Qdrant points by stable 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
- 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-get-points-example",
"method": "tools/call",
"params": {
"name": "qdrant.qdrant-get-points",
"arguments": {
"point_ids": [],
"collection_name": "collection_name_example",
"include_payload": false,
"include_vectors": false
}
}
}'
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-get-points-example",
"method": "tools/call",
"params": {
"name": "qdrant.qdrant-get-points",
"arguments": {
"point_ids": [],
"collection_name": "collection_name_example",
"include_payload": false,
"include_vectors": false
}
}
}),
});
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-get-points-example",
"method": "tools/call",
"params": {
"name": "qdrant.qdrant-get-points",
"arguments": {
"point_ids": [],
"collection_name": "collection_name_example",
"include_payload": false,
"include_vectors": false
}
}
}
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-get-points 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."
}