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qdrant-semantic-search

qdrant-semantic-search is an MCP server for Claude Code, Codex, Cursor, Gemini CLI, OpenCode from muhammedehab35/MCP-qdrant-semantic-search. Its token cost is not measured, scanned A, original, MIT.

An MCP server for searching a Qdrant vector database by meaning rather than exact wording. Qdrant stores searchable data, while embeddings turn text into numerical representations of its meaning.

In plain words
What is it for?
Use it to run semantic searches against a configured Qdrant collection using OpenAI text embeddings.
Why use it?
It can find related information even when the search words differ from the stored text, provided the required services and settings are available.

MCP server for Claude CodeCodexCursorGemini CLIOpenCode

Written for no agent in particular: it speaks MCP, so any client can run it. Also seen: listed in a Claude config.

not rated 9repo 7mo ago A scan tokens not measured original MIT

Good fit Use it to run semantic searches against a configured Qdrant collection using OpenAI text embeddings.

Compare 6 mcp servers from other repositories ↓
Install with agentmods
npx agentmods add mcp/muhammedehab35/mcp-qdrant-semantic-search/qdrant-semantic-search
View source ↗ muhammedehab35/MCP-qdrant-semantic-search
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Clone the repo
git clone --depth 1 https://github.com/muhammedehab35/MCP-qdrant-semantic-search

Made for: Claude Code, Codex, Cursor, Gemini CLI, OpenCode.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for qdrant-semantic-search

README.md
[![agentmods](https://agentmods.dev/badge/mcp/muhammedehab35/mcp-qdrant-semantic-search/qdrant-semantic-search/github.svg)](https://agentmods.dev/mcp/muhammedehab35/mcp-qdrant-semantic-search/qdrant-semantic-search)
Your own site
<a href="https://agentmods.dev/mcp/muhammedehab35/mcp-qdrant-semantic-search/qdrant-semantic-search"><img src="https://agentmods.dev/badge/mcp/muhammedehab35/mcp-qdrant-semantic-search/qdrant-semantic-search/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for qdrant-semantic-search

Your own site · 80×15
<a href="https://agentmods.dev/mcp/muhammedehab35/mcp-qdrant-semantic-search/qdrant-semantic-search"><img src="https://agentmods.dev/badge/mcp/muhammedehab35/mcp-qdrant-semantic-search/qdrant-semantic-search.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session not measured What this adds to a session before it is invoked.
When invoked not measured Not applicable: nothing here is loaded into a session.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Security

Grade A, and why

qdrant-semantic-search scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

claude_desktop_config.json · 17 lines

What it actually says

{
  "qdrant-semantic-search": {
    "command": "node",
    "args": [
      "dist/index.js"
    ],
    "cwd": "C:\\Users\\MO EHAB\\Desktop\\proj\\mcp-qdrant-semantic-search",
    "env": {
      "OPENAI_API_KEY": "sk-your-api-key-here",
      "QDRANT_URL": "http://localhost:6333",
      "QDRANT_API_KEY": "",
      "QDRANT_COLLECTION": "semantic_memory",
      "EMBEDDING_MODEL": "text-embedding-3-large",
      "EMBEDDING_DIMENSIONS": "1536"
    }
  }
}
Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 12d ago First seen · 17 lines scan A 59671c454383

Subscribe to this mod's changes

qdrant-semantic-search is an MCP server published in the GitHub repository muhammedehab35/MCP-qdrant-semantic-search (9 stars, last pushed 7mo ago), licensed MIT. Its token cost is not measured: an MCP server costs its tool schemas, not its config file. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Data and AIDatabasesRAG and vectorsRedis and cache
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