SpinQit MCP Tools
@SpinQTech
About SpinQit MCP Tools
SpinQit MCP Tools is a Python MCP server that connects AI assistants to SpinQ Cloud, enabling QASM circuit submission, platform discovery, and quantum task result retrieval through the Model Context Protocol.
Basic information
Config
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"spinqit_mcp_tools": {
"command": "<PYTHON_EXECUTABLE_PATH>",
"args": [
"-m",
"spinqit_mcp_tools.qasm_submitter"
],
"env": {
"PRIVATEKEYPATH": "<YOUR_PRIVATE_KEY_PATH>",
"SPINQCLOUDUSERNAME": "<YOUR_USERNAME>",
"SPINQCLOUDHOST": "<SPINQ_CLOUD_HOST>"
}
}
}
}Tools
No tools detected
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
Overview
What is SpinQit MCP Tools?
SpinQit MCP Tools is a Model Context Protocol (MCP) server that connects AI assistants to SpinQ Cloud quantum computing resources. It allows MCP-compatible clients (Cursor, Cline, Claude Desktop, Codex, and others) to submit QASM quantum circuits, query available SpinQ Cloud platforms, and retrieve experiment results.
How to use SpinQit MCP Tools?
Install the package with pip install spinqit_mcp_tools, then configure the MCP client to invoke the server via stdio. The server exposes three tools: get_platforms, qasm_submit, and get_task_result_by_id. Authentication requires setting a SpinQ Cloud host, username, and private key.
Key features of SpinQit MCP Tools
- Submit QASM quantum circuits to SpinQ Cloud.
- Query available SpinQ Cloud execution platforms.
- Retrieve quantum task results by task ID.
- Supports stdio-based MCP integration.
- Works with local Python environments and common MCP clients.
- Supports configurable SpinQ Cloud host, username, and private key authentication.
Use cases of SpinQit MCP Tools
- AI assistants submitting quantum circuit experiments on demand.
- Developers testing quantum algorithms through natural language interfaces.
- Researchers querying available quantum hardware platforms before task submission.
- Automated workflows that submit circuits and later fetch results asynchronously.
FAQ from SpinQit MCP Tools
What does SpinQit MCP Tools do?
It enables MCP-compatible AI assistants to interact with SpinQ Cloud, allowing submission of QASM circuits, platform queries, and result retrieval.
How do I install SpinQit MCP Tools?
Install via pip: pip install spinqit_mcp_tools. It requires a local Python environment and is compatible with common MCP clients.
What authentication is required?
The server requires a SpinQ Cloud host, username, and private key. These are configured in the MCP client settings.
Which transports does SpinQit MCP Tools support?
It uses stdio-based MCP integration, making it compatible with clients that support the stdio transport.
Can I retrieve results for a past task?
Yes, use the get_task_result_by_id tool with the task ID to fetch results from SpinQ Cloud.
More Other MCP servers
🚀 Model Context Protocol (MCP) Curriculum for Beginners
microsoftThis open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable,
Unity MCP ✨
justinpbarnettUnity MCP acts as a bridge between AI assistants and your Unity Editor. Give your LLM tools to manage assets, control scenes, edit scripts, and automate tasks within Unity.
MCP Toolbox for Databases
googleapisMCP Toolbox for Databases is an open source MCP server for databases.
MCP Go 🚀
mark3labsA Go implementation of the Model Context Protocol (MCP), enabling seamless integration between LLM applications and external data sources and tools.
AutoBrowser MCP
autobrowser-aiBrowser MCP is a Model Context Provider (MCP) server that allows AI applications to control your browser
Comments