# Qdrant Search MCP

> Use this tool when you need to find relevant code snippets across large indexed codebases using natural language queries. The Qdrant Search MCP solves problems of efficient code discovery and reuse by enabling semantic search, saving time and effort in development projects. It takes natural language inputs and returns relevant code snippets as outputs, ideal for use cases where developers need to quickly locate specific code functionality or examples.

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

## Description

An MCP server for semantic code search using Qdrant vector database, enabling natural language queries to find relevant code snippets across indexed codebases.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **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/atfp75ywwh)
- **Repository:** <https://github.com/webtoolbox/qdrant-search-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": "webtoolbox-qdrant-search-mcp"
    }
  }
}
```

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