quantum-artificer

Scientific compute for AI agents: symbolic, numerical, quantum, chemistry, ODE. Paid via x402.

Should I use this

Quality & Safety

A
Description quality
92%
Schema completeness
88%
Naming quality
80%
Poisoning risk
100%
Permission match
100%
Protocol compliance
100%

Findings (1)

  • LOWTool 'chemistry' description lacks action verbin chemistry

Based on automated analysis of tool definitions and protocol compliance.

Context Cost

~850Tokens (tool definitions)
~677 BTypical response size
Moderate attention impact (0.66% of 128k context)

This is the approximate number of tokens consumed each time the server's tools are loaded into a model's context. Higher counts reduce the attention available for other tasks.

Install

One-Click Install

Add this to your `claude_desktop_config.json` file:

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

Remote endpoints

https://quantum-artificer.surewhynot.app/mcpstreamable-http

What it can do

Tool inventory

Tools (6)

🟢 Read-only🟡 Write🔴 Delete⚪ Unknown
🟢quantum_artificer_info

FREE. Full catalog of Quantum Artificer: the 5 domains, their operations, input-spec shapes, limits, and prices. Call this first to learn how to build the `spec` for the paid compute tools. No wallet needed.

Input Schema

{
  "type": "object",
  "properties": {}
}
⚪symbolic(spec, operation)

[Symbolic math, SymPy] Exact symbolic computation: simplify, differentiate, integrate, solve equations/systems, limits, series, Laplace/Fourier transforms, arbitrary-precision eval. Pass {operation, spec}. Expressions are JSON ASTs, e.g. spec={symbols:['x'], expression:['Pow','x',2], variable:'x'} with operation='integrate'. Verified numerically. $0.005 USDC.

Input Schema

{
  "type": "object",
  "properties": {
    "spec": {
      "type": "object",
      "description": "The structured problem for this operation (see quantum_artificer_info for shapes)."
    },
    "operation": {
      "type": "string",
      "description": "Operation within this domain."
    }
  },
  "required": [
    "operation",
    "spec"
  ]
}
⚪numerical(spec, operation)

[Numerical, SciPy] Root-finding, optimization, numerical integration (quad), eigenvalues/vectors, linear solves — with residuals and condition numbers. Pass {operation, spec}, e.g. operation='eigen', spec={matrix:[[2,1],[1,2]], symmetric:true}. $0.01 USDC.

Input Schema

{
  "type": "object",
  "properties": {
    "spec": {
      "type": "object",
      "description": "The structured problem for this operation (see quantum_artificer_info for shapes)."
    },
    "operation": {
      "type": "string",
      "description": "Operation within this domain."
    }
  },
  "required": [
    "operation",
    "spec"
  ]
}
⚪quantum(spec, operation)

[Quantum simulation, Qiskit Aer] Simulate small/medium quantum circuits: statevector, density-matrix (noise), stabilizer, MPS; shots, expectation values, seeded determinism. Pass operation='simulate', spec={qubits, gates:[{name,qubits,params?}], shots?, method?}. Sync tier ≤24 qubits. $0.05 USDC.

Input Schema

{
  "type": "object",
  "properties": {
    "spec": {
      "type": "object",
      "description": "The structured problem for this operation (see quantum_artificer_info for shapes)."
    },
    "operation": {
      "type": "string",
      "description": "Operation within this domain."
    }
  },
  "required": [
    "operation",
    "spec"
  ]
}
⚪chemistry(spec, operation)

[Physical chemistry, Cantera + CoolProp] Thermochemistry: equilibrium, adiabatic flame temperature, thermo/transport properties, fluid properties (steam/refrigerants). Bundled mechanisms only (gri30, h2o2, air…). Pass {operation, spec}, e.g. operation='adiabatic_flame_temp', spec={mechanism:'gri30', fuel:{CH4:1}, phi:1, T0:300, P:101325}. $0.02 USDC.

Input Schema

{
  "type": "object",
  "properties": {
    "spec": {
      "type": "object",
      "description": "The structured problem for this operation (see quantum_artificer_info for shapes)."
    },
    "operation": {
      "type": "string",
      "description": "Operation within this domain."
    }
  },
  "required": [
    "operation",
    "spec"
  ]
}
⚪ode(spec, operation)

[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. Pass operation='solve', spec={template, params, tSpan:[t0,tf]}. $0.01 USDC.

Input Schema

{
  "type": "object",
  "properties": {
    "spec": {
      "type": "object",
      "description": "The structured problem for this operation (see quantum_artificer_info for shapes)."
    },
    "operation": {
      "type": "string",
      "description": "Operation within this domain."
    }
  },
  "required": [
    "operation",
    "spec"
  ]
}

Community

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Evidence

Recent observations

verifiedversion not recorded6 tools
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