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qualityA server implementation that allows AI models to interact with Jira through the Model Context Protocol, enabling tasks like JQL searches and retrieving issue details.
Last updated -
Python
The Jij MCP Server provides comprehensive tools for mathematical optimization with JijModeling and quantum computing with Qiskit.
- JijModeling Support:
- Learn syntax and usage with
learn_jijmodeling - Validate code with
jm_check - Get assistance with model creation and best practices
- Follow step-by-step workflow for implementing optimization models
- Learn syntax and usage with
- Quantum Computing Support:
- Migrate between Qiskit versions with
qiskit_v0tov1v2_migration_guide - Access API documentation with
qiskit_v1_api_reference_tocandqiskit_v2_api_reference_toc - Use IBM Quantum Learning Hub tutorials via
qiskit_tutorial - Get structured workflow guidance for quantum circuit design and execution
- Migrate between Qiskit versions with
- Configuration:
- Configure via settings file or Docker
- License:
- Apache License 2.0
Offers a containerized deployment option through Docker, allowing users to run the MCP server in an isolated environment with all dependencies pre-configured.
Supports platform-specific configuration for Linux/amd64 architecture when deploying the containerized version of the server.
Provides tools for quantum programming with Qiskit, including migration guides between versions, API reference documentation access, and integration with IBM Quantum Learning Hub tutorials to support quantum circuit design and execution.
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.
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:
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 serverjij_mcp/server.py: Server script to run
Docker version
Available Tools
JijModeling Tools
learn_jijmodeling: Guide to JijModeling syntax and usagejm_check: Validation tool for JijModeling code
Qiskit Tools
qiskit_v0tov1v2_migration_guide: Guide for transitioning between Qiskit versionsqiskit_v1_api_reference_tocandqiskit_v2_api_reference_toc: API documentation accessqiskit_tutorial: Access to IBM Quantum Learning Hub tutorials
License
Apache License 2.0
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A server that provides tools and utilities to support the implementation of Jij Modeling, featuring easy configuration and an extensible architecture for custom modeling workflows.
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