Quantum Code Validator

A Model Context Protocol (MCP) server for validating quantum computing library code. Currently supports PennyLane, with plans to expand support for other quantum computing libraries in the future.

Overview

The Quantum Code Validator is a tool that helps developers ensure their quantum computing code is valid and follows the correct usage patterns for various quantum libraries. It provides static validation of quantum code against official documentation and offers reference documentation lookup capabilities.

Features

• Static Code Validation: Validates quantum code by:

  • Checking code syntax using Python's ast module

  • Verifying code compilation using py_compile

  • Comparing quantum library method usage against official documentation

• Reference Documentation Lookup: Retrieves method documentation for specific versions of quantum libraries

• Version-Specific Validation: Supports validation against specific versions of quantum libraries

• Extensible Architecture: Designed to support multiple quantum computing libraries

Current Support

• PennyLane: Full support for static validation and reference documentation lookup

  • Supported versions: v0.35.0 - v0.41.1

Planned Support

The following quantum computing libraries are planned for future support:

• Qulacs

• Qiskit

• Cirq

• cuQuantum

• And more...

Usage

The server provides two main tools:

1. validate_quantum_method_by_static:

   # Example usage result = validate_quantum_method_by_static( code="your_quantum_code_here", version="v0.41.1" # Optional )

2. request_quantum_method_reference:

   # Example usage docs = request_quantum_method_reference( method_name="qml.CNOT", # Method name without arguments version="v0.41.1" # Optional )

Installation

1. Install with uv

1. Create and activate a virtual environment:

   python -m venv .venv source .venv/bin/activate # On Windows: .venv\Scripts\activate

2. Install uv (if not already installed):

   curl -LsSf https://astral.sh/uv/install.sh | sh

3. Install dependencies using uv:

   uv sync

4. Run the server:

   uv run src/server.py

Setting MCP Server

1. Local MCP Server by uv

1.1 Load and Parse PennyLane Source Code

Load basic information from PennyLane's source code and save it as JSON files by version. The PennyLane version will be the one installed in the execution environment, so please switch it using the uv command as needed.

1.2 Format Source Code to Document

Next, we will use an LLM to format the basic information extracted in Step 1 into document information that can be accessed on MCP. Please specify the PennyLane versions to be converted into documents as a comma-separated list. Note that this process uses an LLM, so the "OPENAI_API_KEY" environment variable must be set, and there is a cost of approximately $2.50 per version. The formatting results will be saved in "./refdocs/pennylane/formatted".

1.3 Setup MCP Server on Local

Finally, by configuring the mcp.json file according to the platform and starting the MCP server, the tool becomes available for use with the target tool. As a reference, a link to the documentation on how to configure it for Claude Desktop is provided.

License

This project is licensed under the MIT License - see the LICENSE file for details.