# MCP Qdrant Semantic Search

> Use this tool when you need to efficiently store and retrieve information with semantic search capabilities, enabling persistent memory for conversations, code, and documentation. It solves problems related to information retrieval and knowledge management, providing accurate results through vector database technology. Ideal for use cases where contextual understanding and relevant information retrieval are crucial, such as conversational AI and knowledge base applications.

Canonical page: https://skillsregistry.net/skills/muhammedehab35-mcp-qdrant-semantic-search  
JSON: https://api.skillsregistry.net/v1/skills/muhammedehab35-mcp-qdrant-semantic-search

## Description

Enables Claude to store and retrieve information with semantic search using Qdrant vector database, providing persistent memory for conversations, code, and documentation.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/egjhsk3bn8)
- **Repository:** <https://github.com/muhammedehab35/MCP-qdrant-semantic-search>

## 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": "muhammedehab35-mcp-qdrant-semantic-search"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/muhammedehab35-mcp-qdrant-semantic-search` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/muhammedehab35-mcp-qdrant-semantic-search/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