{
  "markdown": "[![smithery badge](https://smithery.ai/badge/OjasKord/quantum-suitability-validator-mcp-server)](https://smithery.ai/servers/OjasKord/quantum-suitability-validator-mcp-server)\n\n# Quantum Suitability Validator MCP\n\n[![ToolRank](https://toolrank.dev/badge/dominant.svg)](https://toolrank.dev/ranking)\n\nMCP server that screens quantum computing POC proposals against expert decision rules -- before your agent escalates any initiative to a committee, allocates budget, or routes to a specialist.\n\n## What it does\n\nEnterprise innovation agents and R&D workflow agents process backlogs of proposed technology initiatives tagged as potential quantum computing candidates. Before escalating any candidate to a human committee, allocating POC budget, or routing to a quantum specialist, the agent calls `quantum_assess_problem` to produce an auditable triage verdict.\n\nThis server is **refusal-first by design**. It downgrades or refuses more often than it approves. Every verdict is auditable and machine-readable.\n\n## Tools\n\n### `quantum_assess_problem` (Free: 5/month, no key required)\n\nScreens a quantum computing proposal using an expert-validated four-dimensional scoring framework. Returns:\n\n- `verdict`: SCIENTIFICALLY_RECOMMENDED_NOW | COMMERCIALLY_RECOMMENDED_NOW | INVESTIGATE_FURTHER | PREMATURE | NOT_QUANTUM_AMENABLE\n- `four_scores`: scientific_fit (40% weight), hardware_feasibility (25%), advantage_potential (25%), commercial_relevance (10%), composite -- four independent 0.0-1.0 scores so a scientifically valid investigation is never confused with proven commercial advantage\n- `advantage_claim_level`: NONE | HYPOTHESISED | EXPERIMENTAL_SIGNAL | BENCHMARK_SUPPORTED | PRODUCTION_VALIDATED\n- `suitability_score`: 0.0-1.0 (equal to four_scores.composite)\n- `confidence_score`: 0.0-1.0\n- `problem_class`: combinatorial_optimisation | portfolio_optimisation | molecular_simulation | ml_kernel | cryptography_pqc | sampling_monte_carlo | other\n- `dominant_blockers`: specific reasons why the problem fails screening\n- `hype_flags`: detected hype language patterns\n- `baseline_question`: always \"What is your classical baseline today, and what metric must improve for this to matter?\"\n- `next_best_action`: specific actionable recommendation\n- `agent_action`: ESCALATE_TO_POC | ROUTE_TO_SIMULATOR | DEFINE_BASELINE_FIRST | REJECT | REQUEST_MORE_INFORMATION\n\n### `quantum_readiness_report` (Pro only)\n\nFull auditable Quantum Readiness Report, weighted by audience profile (RESEARCH, ENTERPRISE, or INVESTOR -- the same problem legitimately scores differently by profile). Everything from `quantum_assess_problem` plus:\n\n- `recommended_workflow`: CLASSICAL_ONLY | HYBRID | SIMULATOR_ONLY | ANNEALING_PATH | GATE_MODEL_VARIATIONAL | INSUFFICIENT_INFORMATION\n- `formulation_guidance`: QUBO/Ising/variational suitability, estimated binary variables, penalty dominance risk\n- `hardware_recommendations`: hardware family fit scores with access routes (D-Wave Leap, IBM Cloud, IonQ Cloud)\n- `error_budget_assessment`: viability against current noise floors\n- `classical_baseline_assessment`: baseline strength and minimum benchmark requirement\n- `validation_plan`: ordered steps for technical review board submission\n- `refusal_reason`: populated when the report declines to recommend a path forward\n- `commercial_reality_statement`: populated for ENTERPRISE and INVESTOR profiles -- states plainly that production advantage over classical has not yet been broadly demonstrated\n\n## Connect\n\n### HTTP (Railway -- no install)\n```json\n{\"type\": \"http\", \"url\": \"https://quantum-suitability-validator-mcp-production.up.railway.app\"}\n```\n\n### stdio (npm -- requires ANTHROPIC_API_KEY)\n```bash\nnpx quantum-suitability-validator-mcp\n```\n\n## Harness Integration\n\nNote: this server exposes tools at `/mcp` not the root URL.\n\n### Claude Code / Claude Desktop (.mcp.json)\n```json\n{\n  \"mcpServers\": {\n    \"quantum-suitability-validator\": {\n      \"type\": \"http\",\n      \"url\": \"https://quantum-suitability-validator-mcp-production.up.railway.app/mcp\"\n    }\n  }\n}\n```\n\n### LangChain (Python)\n```python\nfrom langchain_mcp_adapters.client import MultiServerMCPClient\nclient = MultiServerMCPClient({\n    \"quantum-suitability-validator\": {\n        \"url\": \"https://quantum-suitability-validator-mcp-production.up.railway.app/mcp\",\n        \"transport\": \"http\"\n    }\n})\ntools = await client.get_tools()\n```\n\n### OpenAI Agents SDK (Python)\n```python\nfrom agents import Agent, HostedMCPTool\nagent = Agent(\n    name=\"Assistant\",\n    tools=[HostedMCPTool(tool_config={\n        \"type\": \"mcp\",\n        \"server_label\": \"quantum-suitability-validator\",\n        \"server_url\": \"https://quantum-suitability-validator-mcp-production.up.railway.app/mcp\",\n        \"require_approval\": \"never\"\n    })]\n)\n```\n\n### LangGraph\nSame as LangChain above — langchain-mcp-adapters works with LangGraph natively.\n\n## Pricing\n\n- **Free**: 5 `quantum_assess_problem` calls/month per IP -- no API key required\n- **Pro**: $199/month -- unlimited `quantum_assess_problem` + full `quantum_readiness_report`\n- **Enterprise**: $499/month -- volume + SLA\n\nUpgrade: [kordagencies.com](https://kordagencies.com)\n\n## Legal\n\nAI-assisted triage -- NOT a substitute for experimental physicist review. Results are for informational and planning purposes only and do not constitute expert quantum computing advice. Full terms: kordagencies.com/terms.html\n\nKord Agencies Pte Ltd, Singapore\n",
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