# qdrant-mcp

> Use this tool when you need to enable AI coding agents with persistent, semantic memory for efficient codebase, documentation, and decision search. It solves problems of information retrieval and knowledge management by providing a workspace-aware search interface. The qdrant-mcp server takes in code, documentation, and decision data as inputs and outputs relevant search results via Qdrant vector search.

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

## Description

MCP server that gives AI coding agents persistent, semantic memory via Qdrant vector search, enabling workspace-aware codebase, documentation, and decision search.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/xyf0mb2kxf)
- **Repository:** <https://github.com/dutchakdev/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": "dutchakdev-qdrant-mcp"
    }
  }
}
```

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