QuantumSolve MCP

v1.0.0

A powerful MCP server built with NitroStack

Connection Setup

Add via Cursor Settings UI (Settings > Features > MCP > Add New MCP Server):

{
  "mcpServers": {
    // your other mcp servers
    "quantumsolve-mcp": {
      "url": "https://quantumsolve-ai-6a649dba-cortexai-amrita-university-coimbatore.app.nitrocloud.ai/mcp"
    }
  }
}

Connect remote tools directly via Claude's Web UI:

Connect Claude to your data and tools. Learn more about connectors or get started with pre-built ones.

Advanced settings

Only use connectors from developers you trust. Anthropic does not control which tools developers make available and cannot verify that they will work as intended or that they won't change.

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Configure custom tools directly via ChatGPT's Web UI:

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Add the following configuration block under mcpServers in your Antigravity configuration file (~/.gemini/config/mcp_config.json):

{
  "mcpServers": {
    // your other mcp servers
    "quantumsolve-mcp": {
      "serverUrl": "https://quantumsolve-ai-6a649dba-cortexai-amrita-university-coimbatore.app.nitrocloud.ai/mcp"
    }
  }
}

Add the following configuration block to your Codex configuration file (~/.codex/config.toml):

[mcp_servers.quantumsolve-mcp]
url = "https://quantumsolve-ai-6a649dba-cortexai-amrita-university-coimbatore.app.nitrocloud.ai/mcp"

Connect directly using the Server-Sent Events endpoint:

https://quantumsolve-ai-6a649dba-cortexai-amrita-university-coimbatore.app.nitrocloud.ai/mcp

Available Tools

search_algorithms

Search the algorithm catalog for classical, hybrid, and quantum approaches suited to a given optimization problem type. Used to shortlist candidate algorithms before benchmarking.

search_papers

Search real academic literature on arXiv for a research query (algorithms, quantum computing, optimization theory). Falls back to a clearly-labeled placeholder result if arXiv is unreachable or returns nothing, so the tool never hard-fails.

search_industry_practices

Look up how a given industry currently solves a class of optimization problem in production (classical vs hybrid vs quantum adoption).

evaluate_quantum_feasibility

Assess whether a problem is a realistic fit for near-term (NISQ-era) quantum hardware, based on problem size. Placeholder heuristic pending real circuit-level analysis.

generate_qiskit_solution

Generate a Qiskit implementation skeleton for a given optimization problem and algorithm choice. Returns a structural template (valid Python syntax, TODOs left for problem-specific logic), not a tuned solution - final implementation is the Quantum/Optimization Agent's responsibility.

estimate_quantum_advantage

Rough-order estimate of whether a quantum approach could outperform classical methods for this problem, with explicit caveats about NISQ-era limitations. Placeholder heuristic pending real hardware/simulator benchmarking.

solve_with_ortools

Solve a small NxN assignment problem using an exact Hungarian algorithm (O(n^3)). Best suited to combinatorial problems with discrete variables and complex constraints. Runs a real solve natively in Node.js - no external process.

solve_with_pulp

Solve a small production-mix linear program using the javascript-lp-solver simplex solver. Best for classic LP/MIP formulations. Runs a real solve natively in Node.js - no external process.

solve_with_scipy

Solve a small continuous blending linear program using the javascript-lp-solver simplex solver. Best suited to continuous/nonlinear problems rather than combinatorial ones. Runs a real solve natively in Node.js - no external process.

compare_methods

Compare classical, hybrid, and quantum approaches for a problem across estimated runtime, cost, and practicality. Placeholder heuristic pending real Simulation Agent measurements.

estimate_runtime

Estimate wall-clock runtime for solving a problem of a given size with a specific method (classical/hybrid/quantum). Placeholder heuristic.

estimate_cost

Estimate compute cost in USD for solving a problem of a given size with a specific method, accounting for cloud vs quantum-cloud pricing differences. Placeholder heuristic.

retrieve_domain_knowledge

Retrieve curated domain-knowledge snippets for an industry. This is an internal curated knowledge base - distinct from search_papers/search_industry_practices on the Research tool module, which query external literature.

retrieve_constraints

Retrieve typical real-world constraints for a problem domain, to seed the Problem Understanding Agent's constraint extraction.

retrieve_best_practices

Retrieve best-practice guidelines for approaching optimization problems in a given domain.

generate_summary

Generate an executive-readable summary from the problem, strategy, simulation, and benchmark results produced earlier in the pipeline. Placeholder text pending the real Explainability Agent.

generate_pdf_report

Generate a downloadable PDF report bundling the problem, recommendation, simulation, and benchmark results. Currently returns a placeholder descriptor - real PDF rendering is a follow-up integration (e.g. pdf-lib or Puppeteer).

export_results

Export pipeline results in a given format (json, csv, pdf) for download or handoff to the frontend dashboard. Placeholder descriptor pending real export generation.

tool_name