Qdrant Tag Memories

Immutable Catalog Entry

This descriptor comes from the active versioned Portal catalog.

DESTRUCTIVEqdrant.qdrant-tag-memories

• Contract tier: agent_ready
• Risk: destructive
• Catalog version: qdrant-2026.07.12.2
• Descriptor hash: 406ab4a1db54b80d2679c8411acd29b069d0edf201ab94fc28700fc40e54cb36

Use this when you need to append or replace labels on selected memories. It can overwrite, remove, cancel, restore, or otherwise irreversibly change state and therefore requires the manifest-defined Portal confirmation. 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-tag-memories-example",
  "method": "tools/call",
  "params": {
    "name": "qdrant.qdrant-tag-memories",
    "arguments": {
      "point_ids": [],
      "labels": [],
      "collection_name": "collection_name_example",
      "replace": false
    }
  }
}

Arguments Schema

{
  "type": "object",
  "title": "Qdrant Tag Memories input",
  "required": [
    "point_ids",
    "labels",
    "collection_name"
  ],
  "properties": {
    "labels": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "title": "Labels",
      "description": "Labels to add to the points."
    },
    "replace": {
      "type": "boolean",
      "title": "Replace",
      "default": false,
      "description": "Replace existing labels instead of merging."
    },
    "point_ids": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "title": "Point Ids",
      "description": "Point ids to tag with labels."
    },
    "collection_name": {
      "type": "string",
      "title": "Collection Name",
      "description": "The collection containing the points."
    }
  },
  "description": "Validated input contract for the qdrant-tag-memories 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-tag-memories: append or replace labels on selected memories.",
      "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-tag-memories-example",
  "method": "tools/call",
  "params": {
    "name": "qdrant.qdrant-tag-memories",
    "arguments": {
      "point_ids": [],
      "labels": [],
      "collection_name": "collection_name_example",
      "replace": false
    }
  }
}'

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-tag-memories-example",
  "method": "tools/call",
  "params": {
    "name": "qdrant.qdrant-tag-memories",
    "arguments": {
      "point_ids": [],
      "labels": [],
      "collection_name": "collection_name_example",
      "replace": false
    }
  }
}),
});
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-tag-memories-example",
  "method": "tools/call",
  "params": {
    "name": "qdrant.qdrant-tag-memories",
    "arguments": {
      "point_ids": [],
      "labels": [],
      "collection_name": "collection_name_example",
      "replace": false
    }
  }
}
response = requests.post(url, headers=headers, json=payload, timeout=60)
print(response.json())

Example Responses

200 Success

{
  "ok": true,
  "message": "Tool qdrant.qdrant-tag-memories executed successfully.",
  "note": "Response shape varies by MCP tool. Inspect live responses for exact fields."
}

502 Upstream Error

{
  "ok": false,
  "classification": "upstream_http_error",
  "message": "Upstream MCP returned a non-success status."
}