# Qdrant with OpenAI Embeddings

> Use this tool when you need to perform semantic search and retrieval of contextually similar content in large collections of data. It solves problems related to document retrieval, knowledge base search, and finding similar content by generating embeddings from natural language queries and performing vector similarity searches. The tool takes in natural language queries as input and outputs relevant search results from connected Qdrant vector databases.

Canonical page: https://skillsregistry.net/skills/amansingh0311-qdrant-openai-embeddings  
JSON: https://api.skillsregistry.net/v1/skills/amansingh0311-qdrant-openai-embeddings

## Description

MCP Qdrant Server with OpenAI Embeddings provides vector search capabilities by connecting AI assistants to Qdrant vector databases. The server exposes three main tools: semantic search in collections using OpenAI embeddings, listing available collections, and viewing collection information. It handles the generation of embeddings from natural language queries and performs vector similarity search against Qdrant collections, making it valuable for applications requiring semantic document retrieval, knowledge base search, or any use case where finding contextually similar content is important.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/amansingh0311-qdrant-openai-embeddings)
- **Repository:** <https://github.com/amansingh0311/mcp-qdrant-openai>

## 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": "amansingh0311-qdrant-openai-embeddings"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/amansingh0311-qdrant-openai-embeddings` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/amansingh0311-qdrant-openai-embeddings/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
