INDIVIDUAL MCP TOOL

quantum

[Quantum simulation, Qiskit Aer] Simulate small/medium quantum circuits: statevector, density-matrix (noise), stabilizer, MPS; shots, expectation values, seeded determinism.

surewhynot.appnone authenticationAvailability not checked

Input schema

{}

Risk classification

Inferred read-only · medium confidence · heuristic, not a guarantee.

No write-capable action terms were found; this is not proof that invocation has no side effects.

Parent endpoint

surewhynot.app

CONNECT WITH APPROVAL

Client installation

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.quantum-artificer]
url = "https://quantum-artificer.surewhynot.app/mcp"
enabled = true

Claude Code

.mcp.json

{
  "mcpServers": {
    "quantum-artificer": {
      "type": "http",
      "url": "https://quantum-artificer.surewhynot.app/mcp"
    }
  }
}

Claude Desktop

Settings → Connectors → Add custom connector

Name: quantum-artificer
Remote MCP URL: https://quantum-artificer.surewhynot.app/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

{
  "mcpServers": {
    "quantum-artificer": {
      "url": "https://quantum-artificer.surewhynot.app/mcp"
    }
  }
}

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

{
  "servers": {
    "quantum-artificer": {
      "type": "http",
      "url": "https://quantum-artificer.surewhynot.app/mcp"
    }
  }
}

Generic MCP

Client-specific MCP configuration

{
  "name": "quantum-artificer",
  "transport": "streamable-http",
  "url": "https://quantum-artificer.surewhynot.app/mcp"
}

MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

Related tools

quantum_artificer_info — FREE.
symbolic — [Symbolic math, SymPy] Exact symbolic computation: simplify, differentiate, integrate, solve equations/systems, limits, series, Laplace/Fourier transforms, arbitrary-precision eval.
numerical — [Numerical, SciPy] Root-finding, optimization, numerical integration (quad), eigenvalues/vectors, linear solves — with residuals and condition numbers.
chemistry — [Physical chemistry, Cantera + CoolProp] Thermochemistry: equilibrium, adiabatic flame temperature, thermo/transport properties, fluid properties (steam/refrigerants).
ode — [Physics ODE, SciPy] Solve coupled ODE systems from parameterized templates (orbital 2-body, oscillator, pendulum, heat transfer, RC/RLC, projectile-with-drag, SIR) or a generic linear system, with energy/conservation checks.