qdrant-mcp-server
Enables AI assistants to interact with a Qdrant vector database, including embedding generation and vector search operations.
README
qdrant-mcp-server (maintained fork)
Fork of the abandoned PyPI package qdrant-mcp-server 0.1.0 (author fiyen;
upstream github.com/fiyen/qdrant-mcp-server is 404 — no repo exists to PR against).
Why this fork exists
The original eagerly loads a sentence-transformers/all-MiniLM-L6-v2 model in
__init__. As a stdio MCP server, every agent runtime/session spawns its own
copy, so N idle sessions pin N × ~1.35 GB of duplicated model memory (measured:
5 copies = 5.7 GB). See the generalized "stdio trap" write-up.
Changes vs PyPI 0.1.0
- Lazy-load patch: the embedding model loads on the first
generate_embeddingcall instead of at startup. Idle copies cost ~30 MB. (lazy-load.patchin the repo root is the diff for reference.)
Install (replaces the PyPI install)
uv tool install --force git+https://github.com/Ripnrip/qdrant-mcp-server
Then the existing MCP configs (command = /Users/admin/.local/bin/qdrant-mcp-server)
keep working, and future uv tool upgrade pulls from this fork, not dead PyPI 0.1.0.
After any reinstall, restart running qdrant-mcp-server instances (the Swift reaper LaunchAgent handles orphan cleanup: com.local.qdrant-mcp-reaper).
Context: HAB-354 · ~/Documents/Developer/qdrant-mcp-ram-fix-2026-08-24/
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.