Borrowing it
Nothing to install: this file belongs to WOODSEE-DIGI/qwen3-mcp-server. 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/WOODSEE-DIGI/qwen3-mcp-server/main/AGENTS.mdgit clone --depth 1 https://github.com/WOODSEE-DIGI/qwen3-mcp-serverWrote 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/woodsee-digi/qwen3-mcp-server/agents-md)<a href="https://agentmods.dev/instructions/woodsee-digi/qwen3-mcp-server/agents-md"><img src="https://agentmods.dev/badge/instructions/woodsee-digi/qwen3-mcp-server/agents-md/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.
<a href="https://agentmods.dev/instructions/woodsee-digi/qwen3-mcp-server/agents-md"><img src="https://agentmods.dev/badge/instructions/woodsee-digi/qwen3-mcp-server/agents-md.svg" alt="Reviewed on agentmods" width="80" 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 | $0.01447 | $0.01447 |
| Opus 5 | $0.00724 | $0.00724 |
| Sonnet 5 | $0.00289 | $0.00289 |
| Haiku 4.5 | $0.00145 | $0.00145 |
Grade A, and why
qwen3-mcp-server AGENTS.md scanned grade A 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 11d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl http://localhost:11434/api/version How it starts
The opening of the file, as written. The whole thing — 199 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
This file provides guidance to WARP (warp.dev) when working with code in this repository.
Project Overview
This is a Model Context Protocol (MCP) server that provides standardized access to the Qwen3-30B model for integration with Warp and other MCP-compatible clients. The server supports three hosting methods: Ollama (recommended), local Transformers, and HTTP API endpoints.
Architecture
Core Components
src/main.py: Entry point with CLI argument parsing and server lifecycle managementsrc/server.py: MCP server implementation with tools, prompts, and resourcessrc/model_interface.py: Abstract model interface with concrete implementations for different hosting methodssrc/config.py: Configuration management using Pydantic with environment variable support
Model Interface Pattern
The codebase uses a factory pattern in create_model_interface() to instantiate the appropriate model interface:
OllamaInterface: Uses HTTP client to communicate with Ollama APITransformersInterface: Direct model loading with PyTorch/TransformersHTTPInterface: Generic HTTP API integration
Each interface implements async methods: generate(), generate_stream(), health_check(), and get_model_info().
Development Commands
Setup and Installation
# Initial setup (runs all setup steps)
./setup.sh
# Manual setup
python -m venv venv
source venv/bin/activate # On Windows: venv\Scripts\activate
pip install -r requirements.txt
cp .env.example .env
Running the Server
# Default (stdio transport with Ollama)
python src/main.py
# With specific configuration
python src/main.py --config config/default.json
# With different hosting method
python src/main.py --model-method transformers --model-path /path/to/model
# With debug logging
python src/main.py --log-level DEBUG
# HTTP transport (not yet implemented)
python src/main.py --transport http --host 0.0.0.0 --port 8080
Testing
# Run comprehensive test suite
python examples/test_server.py
# Test configuration loading
python -c "
import sys; sys.path.insert(0, 'src')
from config import AppConfig
config = AppConfig.load_from_env()
print(f'Config: {config.model.hosting_method}')"
# Test model interface directly
python -c "
import sys, asyncio; sys.path.insert(0, 'src')
from config import AppConfig
from model_interface import create_model_interface, GenerationRequest
async def test():
config = AppConfig.load_from_env()
interface = create_model_interface(config.model)
health = await interface.health_check()
print(f'Health: {health}')
asyncio.run(test())"
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.
- 11d ago First seen · 199 lines · 1,447 tokens per session scan A e03b6b003cc1
qwen3-mcp-server AGENTS.md is an instructions file published in the GitHub repository WOODSEE-DIGI/qwen3-mcp-server (0 stars, last pushed 2mo ago), licensed MIT. It adds 1,447 tokens to every session, about $0.0072 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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