better-qdrant-mcp: Instructions file for Codex

AGENTS.md

better-qdrant-mcp AGENTS.md is an instructions file for Codex, OpenCode from jtsang4/better-qdrant-mcp. It costs 1,201 tokens per session, scanned C, original, MIT.

Repository-specific instructions for an AI coding assistant working on Better Qdrant MCP. They describe its long-term memory and semantic-search server, architecture, transports, and main modules.

In plain words
What is it for?
Use them when modifying memory storage, semantic search, debugging tools, embeddings, database access, or the server's supported connection methods.
Why use it?
They provide the context needed to make changes that fit the existing codebase and its use of Qdrant, a vector database, and OpenAI embeddings.

Instructions file for CodexOpenCode

Written for Codex and OpenCode: the file is AGENTS.md. Also seen: mentions CLAUDE.md; mentions Claude Code.

This is jtsang4/better-qdrant-mcp's own configuration. It tells Codex and OpenCode how to work on better-qdrant-mcp itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything better-qdrant-mcp configures →

Reuse

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.

Copy the file
curl -O https://raw.githubusercontent.com/jtsang4/better-qdrant-mcp/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/jtsang4/better-qdrant-mcp

Made for: Codex, 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 better-qdrant-mcp AGENTS.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/jtsang4/better-qdrant-mcp/agents-md.svg)](https://agentmods.dev/instructions/jtsang4/better-qdrant-mcp/agents-md)
Your own site
<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>
Per session 1,201 This file is loaded in full into every session.
When invoked 1,201 The same file — it is already loaded in full.
Security scan C 1 finding. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce 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

Measured 7d ago against content hash d4eec37be91f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

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
AGENTS.md · 154 lines

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 points
  • qdr_client.py: Qdrant client wrapper with hybrid search capabilities
  • embeddings.py: OpenAI dense embeddings and fastembed sparse embeddings
  • config.py: Settings management from environment variables
  • version.py: Dynamic version reading from pyproject.toml

Data Flow

  1. Storage: Text → OpenAI embeddings → Qdrant collection (with optional sparse vectors)
  2. Search: Query → Dense + Sparse embeddings → Hybrid fusion → Ranked results
  3. 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

Read the full file on GitHub · 154 lines

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. 7d ago First seen · 154 lines · 1,201 tokens per session scan C d4eec37be91f

Subscribe to this mod's changes

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.

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