# MADPANDA3D Qdrant MCP

> MADPANDA3D Qdrant MCP — madpanda3d-qdrant-mcp. Use this tool when you need to efficiently manage and query complex data in a vector database, solving problems such as data ingestion, storage, and retrieval for AI models. It provides a Model Context Protocol server interface for agents to interact with the Qdrant database, accepting data inputs and returning relevant search results. Ideal for use cases requiring scalable and high-performance data management, such as machine learning model training and deployment.

Canonical page: https://skillsregistry.net/skills/madpanda3d-qdrant-mcp  
JSON: https://api.skillsregistry.net/v1/skills/madpanda3d-qdrant-mcp

## Description

A Model Context Protocol server for agents to search, store, ingest, and maintain data in a Qdrant vector database.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/vv9vcv9kaq)
- **Repository:** <https://github.com/MADPANDA3D/QDRANT-MCP>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "madpanda3d-qdrant-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/madpanda3d-qdrant-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/madpanda3d-qdrant-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt