# Qdrant MCP Server

> Use this tool when you need to efficiently store and search vectors for semantic queries, or require a unified interface for vector database management. The Qdrant MCP Server solves problems related to vector storage, semantic search, and compatibility with Claude vector hooks. It accepts vector data as input and provides REST API and MCP interfaces for output, ideal for use cases involving complex data retrieval and analysis.

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

## Description

A unified Docker container that runs Qdrant vector database and provides REST API and MCP interfaces for vector storage and semantic search, compatible with Claude vector hooks.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/j2afuvb23o)
- **Repository:** <https://github.com/stigenai/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": "stigenai-qdrant-mcp"
    }
  }
}
```

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