Borrowing it
Nothing to install: this file belongs to jtsang4/better-qdrant-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/jtsang4/better-qdrant-mcp/main/AGENTS.mdgit clone --depth 1 https://github.com/jtsang4/better-qdrant-mcpWrote 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.
[](https://agentmods.dev/instructions/jtsang4/better-qdrant-mcp/agents-md)<a href="https://agentmods.dev/instructions/jtsang4/better-qdrant-mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/jtsang4/better-qdrant-mcp/agents-md.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.01201 | $0.01201 |
| Opus 5 | $0.00600 | $0.00600 |
| Sonnet 5 | $0.00240 | $0.00240 |
| Haiku 4.5 | $0.00120 | $0.00120 |
Grade C, and why
better-qdrant-mcp AGENTS.md scanned grade C with 1 finding 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 7d 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.
Recursive force deletehighDestructive command
rm -rf with a variable or a broad path is one typo away from removing the wrong tree.
rm -rf dist && uv build How it starts
The opening of the file, as written. The whole thing — 154 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
Project Overview
Better Qdrant MCP is a Python-based Model Context Protocol (MCP) server that provides long-term memory storage and semantic search capabilities using Qdrant vector database and OpenAI embeddings. It implements three main tools: memory-store, memory-search, and memory-debug.
The server supports multiple transport modes: stdio (default), Server-Sent Events (SSE), and streamable HTTP, making it compatible with various MCP clients from traditional CLI tools to modern web applications.
Architecture
Core Components
- FastMCP Framework: Uses fastmcp for MCP protocol implementation
- Qdrant Vector Database: Stores and searches embedded text data
- OpenAI Embeddings: Generates dense vectors for semantic search
- Hybrid Search: Supports both dense (OpenAI) and sparse (BM25) vector search
- Multi-Transport Support: stdio, SSE, and streamable HTTP protocols
Key Modules
tools.py: Core MCP tool implementations and server entry pointsqdr_client.py: Qdrant client wrapper with hybrid search capabilitiesembeddings.py: OpenAI dense embeddings and fastembed sparse embeddingsconfig.py: Settings management from environment variablesversion.py: Dynamic version reading from pyproject.toml
Data Flow
- Storage: Text → OpenAI embeddings → Qdrant collection (with optional sparse vectors)
- Search: Query → Dense + Sparse embeddings → Hybrid fusion → Ranked results
- Transport: MCP requests → FastMCP → Tool functions → Qdrant operations
Development Commands
Package Management and Dependencies
Always use uv for package management. Avoid direct pip or python commands unless absolutely necessary.
# Install dependencies
uv sync
# Install in development mode
uv pip install -e .
# Add new dependencies
uv add package_name
# Run commands in uv environment
uv run python -m better_qdrant_mcp
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.
- 7d ago First seen · 154 lines · 1,201 tokens per session scan C d4eec37be91f
better-qdrant-mcp AGENTS.md is an instructions file published in the GitHub repository jtsang4/better-qdrant-mcp (1 stars, last pushed 9mo ago), licensed MIT. It adds 1,201 tokens to every session, about $0.0060 per session on Opus 5. A static security scan graded it C with 1 finding (recursive force delete). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other instructions, from other repositories
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
spec-kit AGENTS.md
AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.