# Better Qdrant

> Use this tool when you need to integrate AI-powered semantic search into your applications, enabling efficient knowledge retrieval through vector databases. It solves problems related to complex text search and information retrieval, providing a bridge between AI assistants and Qdrant vector databases. The tool accepts text inputs and returns relevant search results, making it ideal for use cases where conversational interfaces require advanced search capabilities.

Canonical page: https://skillsregistry.net/skills/wrediam-better-qdrant  
JSON: https://api.skillsregistry.net/v1/skills/wrediam-better-qdrant

## Description

Better Qdrant MCP Server provides a bridge between AI assistants and the Qdrant vector database, enabling semantic search capabilities through multiple embedding services. It offers tools for managing collections, adding documents with automatic chunking, and performing similarity searches using OpenAI, OpenRouter, Ollama, or FastEmbed embedding models. The server handles text processing with configurable chunk sizes and overlaps, making it particularly valuable for knowledge retrieval applications where vector search is needed without leaving the conversation interface.

## Trust

- **Trust score (0–1):** 0.64
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-01

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/wrediam-better-qdrant)
- **Repository:** <https://github.com/wrediam/better-qdrant-mcp-server>

## 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": "wrediam-better-qdrant"
    }
  }
}
```

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