Skip to main content
Glama

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.

Related MCP server: Qdrant MCP Server

Changes vs PyPI 0.1.0

  • Lazy-load patch: the embedding model loads on the first generate_embedding call instead of at startup. Idle copies cost ~30 MB. (lazy-load.patch in 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/

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections. Dates show when Glama detected each change.

No tool schema history has been recorded yet.

Maintenance

ActivityMaintained
ResponsivenessNo issues

Resources

Unclaimed servers have limited discoverability.

Looking for Admin?

If you are the server author, to access and configure the admin panel.

Related MCP Connectors

Related MCP Servers

  • A
    license
    Not graded
    quality
    D
    maintenance
    Provides semantic memory capabilities using Qdrant vector database with configurable embedding providers, allowing storage and retrieval of information using vector similarity.
    1
    Apache 2.0
  • A
    license
    Not graded
    quality
    B
    maintenance
    Enables semantic search and document management using a local Qdrant vector database with OpenAI embeddings. Supports natural language queries, metadata filtering, and collection management for AI-powered document retrieval.
    72
    37
    MIT
  • A
    license
    Not graded
    quality
    D
    maintenance
    Enables storing and retrieving information using semantic search with Qdrant vector database. Acts as a memory layer for LLMs to persistently store and semantically search through information and metadata.
    Apache 2.0

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/Ripnrip/qdrant-mcp-server'

If you have feedback or need assistance with the MCP directory API, please join our Discord server