Install
$ agentstack add mcp-originq-qpanda3-runtime-mcp-server ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ● Environment & secrets Used
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
QPanda3 Runtime MCP Server
[](https://www.python.org/downloads/) [](https://github.com/jlowin/fastmcp) [](https://opensource.org/licenses/Apache-2.0) [](https://originquantum.github.io/qpanda3-runtime-mcp-server/)
A Model Context Protocol (MCP) server that enables AI assistants to interact with Origin Quantum computing services through QPanda3 Runtime.
Features
- Account Management: Configure and manage Origin Quantum cloud account authentication
- Device Management: List and query available QPU devices
- Quantum Computing Tasks: Execute sampling and estimation tasks
- Batch Operations: Run multiple circuits efficiently
- Multi-Objective Decisions: CircuitObservableBinding for complex optimization
- Task Management: Query task status, retrieve results, cancel tasks
- Example Circuits: Provides common quantum circuit example resources
Documentation
| Document | Description | |----------|-------------| | English Docs | English documentation site | | 中文文档 | Chinese documentation site | | [Getting Started](docs/gettingstarted.md) | Complete beginner's guide - START HERE | | [Installation Guide](docs/installation.md) | Detailed installation instructions | | [Quick Start](docs/quickstart.md) | Fast setup for experienced users | | [Configuration](docs/configuration.md) | Environment and client configuration | | [User Guide](docs/userguide/account.md) | Detailed feature documentation | | [API Reference](docs/api/runtime.md) | Auto-generated API documentation |
Installation
One-Click Setup (Recommended)
The project provides setup scripts that automate the entire process:
Linux / macOS:
git clone https://github.com/OriginQ/qpanda3-runtime-mcp-server.git
cd qpanda3-runtime-mcp-server
chmod +x scripts/setup_configure.sh
./scripts/setup_configure.sh
Windows (PowerShell):
git clone https://github.com/OriginQ/qpanda3-runtime-mcp-server.git
cd qpanda3-runtime-mcp-server
.\scripts\setup_configure.ps1
The script handles everything: dependency setup, API key configuration, and MCP client setup.
> See [Installation Guide](docs/installation.md) for manual install options.
Quick Start
# 1. Configure your API key
cp .env.example .env
# Edit .env and set QPANDA3_API_KEY=your_api_key_here
# 2. Run the server
.venv/bin/python -m qpanda3_runtime_mcp_server # Linux/macOS
# .venv\Scripts\python.exe -m qpanda3_runtime_mcp_server # Windows
> See [Configuration](docs/configuration.md) for MCP client setup and advanced options.
MCP Tools
Account Management
| Tool | Description | |------|-------------| | setup_origin_quantum_account_tool | Configure Origin Quantum cloud account authentication | | list_saved_accounts_tool | List saved account information (session-based) | | active_account_info_tool | Get currently active account information |
Device Management
| Tool | Description | |------|-------------| | list_qpu_devices_tool | List all available QPU (Quantum Processing Unit) devices | | get_qpu_properties_tool | Get detailed properties of a specific QPU device |
Quantum Computing Tasks
| Tool | Description | |------|-------------| | sample_tool | Execute quantum circuit sampling task on a QPU device | | estimate_tool | Execute expectation estimation task for a quantum circuit | | batch_sample_tool | Batch execute multiple quantum circuit sampling tasks | | batch_estimate_tool | Batch execute estimation tasks for multiple circuits with one observable |
Multi-Objective Decision (CircuitObservableBinding)
| Tool | Description | |------|-------------| | create_circuit_observable_binding_tool | Create a binding for multiple circuits and observables | | add_product_rule_tool | Add Cartesian product combination rule (all combinations) | | add_zip_rule_tool | Add one-to-one combination rule (paired combinations) | | estimate_with_binding_tool | Execute estimation using the created binding | | list_bindings_tool | List all stored CircuitObservableBinding objects | | delete_binding_tool | Delete a stored CircuitObservableBinding object |
Task Management
| Tool | Description | |------|-------------| | get_task_status_tool | Get the execution status of a task (PENDING/RUNNING/DONE/FAILED/CANCELLED) | | get_task_results_tool | Get the computation results of a completed task | | cancel_task_tool | Cancel a running or pending task | | list_my_tasks_tool | List user's recent quantum computing tasks |
MCP Resources
| Resource URI | Description | |--------------|-------------| | qpanda://status | Service status | | circuits://bell-state | Bell state circuit example | | circuits://ghz-state | GHZ state circuit example | | circuits://random | Random number generator circuit | | circuits://superposition | Superposition circuit example |
Example Usage
Configure Account
# Auto-configure via environment variables
# Or call explicitly
await setup_origin_quantum_account_tool(
api_key="your_api_key"
)
List Devices
devices = await list_qpu_devices_tool()
print(f"Available devices: {devices['total_devices']}")
Execute Sampling Task
# Bell state circuit
circuit = """QINIT 2
CREG 2
H q[0]
CNOT q[0],q[1]
MEASURE q[0],c[0]
MEASURE q[1],c[1]"""
result = await sample_tool(
circuit=circuit,
device_id="20",
shots=1000
)
task_id = result["task_id"]
# Check status and get results
status = await get_task_status_tool(task_id)
if status["task_status"] == "DONE":
results = await get_task_results_tool(task_id)
print(f"Measurement results: {results['results']}")
Configure in AI Coding Platforms
> Auto-configure: Use ./scripts/setup_configure.sh --mcp claude-desktop (or --mcp cline, --mcp cursor, etc.)
All clients use the same config format (replace /path/to/... with your actual path):
{
"mcpServers": {
"qpanda3-runtime": {
"command": "/path/to/qpanda3-runtime-mcp-server/.venv/bin/python",
"args": ["-m", "qpanda3_runtime_mcp_server"],
"cwd": "/path/to/qpanda3-runtime-mcp-server",
"env": { "QPANDA3_API_KEY": "your_api_key_here" }
}
}
}
| Client | Config File Location | |--------|---------------------| | Claude Code | ~/.claude.json | | Claude Desktop | macOS: ~/Library/Application Support/Claude/claude_desktop_config.json | | Cline | ~/.vscode-server/data/User/globalStorage/saoudrizwan.cline/settings/cline_mcp_settings.json | | Cursor | .cursor/mcp.json (project root) | | Windsurf | ~/.codeium/windsurf/mcp_config.json |
> For more clients (Trae etc.), see [Configuration Guide](docs/configuration.md).
Development
Install Development Dependencies
uv sync --extra dev --extra test
Run Tests
uv run pytest
Code Linting
uv run ruff check .
uv run mypy src/
Build Documentation
# Install documentation dependencies
uv sync --extra docs
# Build documentation (English + Chinese)
./scripts/build-docs.sh
# Local preview with live reload (language switching supported)
mkdocs serve
Project Structure
qpanda3-runtime-mcp-server/
├── src/
│ └── qpanda3_runtime_mcp_server/
│ ├── __init__.py # Package entry point
│ ├── server.py # MCP server definition
│ ├── runtime.py # QPanda3 Runtime core logic
│ └── utils.py # Utility functions
├── scripts/
│ ├── setup_configure.sh # One-click setup (Linux/macOS)
│ ├── setup_configure.ps1 # One-click setup (Windows PowerShell)
│ ├── setup_configure.bat # One-click setup (Windows CMD)
│ ├── build-docs.sh # Build all documentation
│ └── serve-docs.sh # Serve docs with live reload
├── tests/
│ ├── __init__.py
│ ├── conftest.py # pytest configuration
│ ├── test_server.py # Server tests
│ └── test_runtime.py # Runtime tests
├── docs/
│ ├── *.md # English documentation (default)
│ └── cn/ # Chinese documentation
├── mkdocs.yml # MkDocs configuration (i18n)
├── .github/
│ └── workflows/ # GitHub Actions workflows
├── pyproject.toml # Project configuration
├── README.md # Project documentation
├── LICENSE # Apache 2.0 License
├── .env.example # Environment variable example
└── .gitignore # Git ignore file
Notes
- Default Server: The server connects to
https://qpanda3-runtime.qpanda.cnby default. SetQPANDA3_SERVER_URLto override. - Channel: The server uses the qcloud channel by default
- Async Support: All tool functions are
asyncfunctions - Error Handling: All functions return dictionaries containing a
statusfield - Type Hints: Python type hints are used for better code readability
License
This project is licensed under the Apache License 2.0 - see the [LICENSE](LICENSE) file for details.
Related Links
- [QPanda3 Runtime Documentation](qpanda3_runtime.pdf)
- FastMCP Framework
- Model Context Protocol
- Reference Implementation: Qiskit MCP Server
Contributing
See [Contributing Guide](docs/development/contributing.md) for details.
Changelog
See [Changelog](docs/development/changelog.md) for version history.
Source & license
This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: OriginQ
- Source: OriginQ/qpanda3-runtime-mcp-server
- License: Apache-2.0
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.