Jij MCP Server

A server that provides tools to support mathematical optimization with JijModeling and quantum computing.

Overview

The Jij MCP Server contains various tools and utilities designed to assist with the implementation of mathematical optimization models using JijModeling and quantum computing tasks using Qiskit. This platform integrates both domains to provide comprehensive support for computational optimization and quantum programming.

Related MCP server: Python Jira MCP Server

Installation

Clone this repository
Install the required dependencies
Configure the server as described below

Features

JijModeling Support

Reference information about JijModeling syntax and usage
Code checking for detection of common issues in JijModeling code
Model creation assistance with best practices guidance
Step-by-step workflow for implementing optimization models

Quantum Computing Support

Qiskit migration guides from v0.x to v1/v2
API reference documentation access
Integration with IBM Quantum Learning Hub tutorials
Structured workflow for quantum circuit design and execution

Configuration

The MCP server can be configured in your settings file as follows:

{ "mcpServers": { "jij": { "command": "uv", "args": [ "--directory", "<YOUR PATH>/jij-mcp-server", "run", "jij_mcp/server.py" ] } } }

This configuration specifies:

Server name: jij
Command to run: uv
Arguments:
- --directory: Specifies the server location
- Path to your server directory
- run: Command to execute the server
- jij_mcp/server.py: Server script to run

Docker version

Install with Docker in VS Code

{ "mcpServers": { "jij": { "command": "docker", "args": [ "run", "-i", "--rm", "--platform", "linux/amd64", "ghcr.io/jij-inc/jij-mcp-server:latest" ], } } }

Available Tools

JijModeling Tools

learn_jijmodeling: Guide to JijModeling syntax and usage
jm_check: Validation tool for JijModeling code

Qiskit Tools

qiskit_v0tov1v2_migration_guide: Guide for transitioning between Qiskit versions
qiskit_v1_api_reference_toc and qiskit_v2_api_reference_toc: API documentation access
qiskit_tutorial: Access to IBM Quantum Learning Hub tutorials