# mcp-server-qdrant

> Use this tool when you need to perform semantic search and store vectors using natural language inputs, enabling efficient retrieval of similar data points. It solves problems related to information retrieval, data similarity, and knowledge graph-based searches. The tool takes in text-based queries and outputs relevant results, making it ideal for applications requiring intuitive and intelligent search capabilities.

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

## Description

MCP server for Qdrant vector database with local BERT embeddings. Enables semantic search and vector storage operations through natural language.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/wz7jxzrn2p)
- **Repository:** <https://github.com/vaporif/mcp-server-qdrant>

## 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": "vaporif-mcp-server-qdrant"
    }
  }
}
```

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