Qiskit IBM Runtime MCP Server

Please install the `qiskit-ibm-runtime-mcp-server` MCP server into my current AI client (that's you).

Required prerequisites (do these first if not already done):
- **Install Python 3.10 or higher** — Python 3.10+ is required to run the server.
- **Install the server package from PyPI** — Install the MCP server package using pip. Run: `pip install qiskit-ibm-runtime-mcp-server`
- **Create an IBM Quantum account** — An IBM Quantum account is required to access IBM Quantum services. (https://quantum.cloud.ibm.com)
- **Obtain an IBM Quantum API token** — Get your API token from the IBM Quantum dashboard. This token is typically required unless you have already saved credentials locally in ~/.qiskit/qiskit-ibm.json. (https://quantum.cloud.ibm.com/docs/en/guides/save-credentials)

Canonical MCP server config (stdio transport):
- command: `qiskit-ibm-runtime-mcp-server`
- args: []
- required environment variables:
  - `QISKIT_IBM_TOKEN`: IBM Quantum API token. Required for the default setup unless credentials have already been saved locally in ~/.qiskit/qiskit-ibm.json. (example: `<your-ibm-quantum-api-token>`)
- optional environment variables:
  - `QISKIT_IBM_RUNTIME_MCP_INSTANCE`: IBM Quantum instance CRN. Optional, but recommended to speed up initialization by skipping automatic instance lookup. Overrides any instance saved in local credentials. (example: `<your-instance-crn>`)

Note: The README also documents a local source/uv workflow, but the simplest portable command shape comes from the installed PyPI package. Credentials can alternatively be saved locally via Qiskit so the server can run without QISKIT_IBM_TOKEN in MCP config, but environment-variable configuration is the recommended path.

Add this MCP server to my current client's config in the correct format for you. If you need secrets or credentials I haven't provided, ASK me — do not invent values or leave raw placeholders. After adding it, tell me how to verify the server is connected.