Deterministically verify math, logic, and code analysis using Python with SymPy and Z3.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "QWED-MCP" yet — see the docs or source repo.
Use QWED-MCP to run Python with SymPy and verify whether this integral derivation is correct: ∫(x*cos(x))dx = x*sin(x)+cos(x)+C. Show the symbolic verification steps and final conclusion.
Provides a symbolic verification process and clearly states whether the derivation is correct.
Use QWED-MCP with Z3 to check whether these constraints are satisfiable: A > B, B > C, C > A. If unsatisfiable, explain the conflict and provide a minimal conflicting set.
Returns the satisfiability result, conflict explanation, and relevant constraint analysis.
Use QWED-MCP to analyze whether this Python function always returns a non-negative value for all integer inputs, and provide a formal proof or counterexample if possible: def f(x): return x*x - 2*x + 1
Gives a symbolic or constraint-based verification result with a proof sketch or counterexample.
Verify AI-generated code for quality, security, and performance with more trust.
Fact-check claims, verify citations, and assess source freshness across trusted databases.
Break down QA tasks into steps with confidence-scored tool recommendations.
Validate AI-generated code with browser tests, evidence capture, and smart diagnostics.
Enforce configurable QA strategies so AI-generated tests meet strict standards.
Use nine deterministic tools to verify LLM answers before trusting them.