SymKit MCP: 44 tools for AI agents to verify symbolic derivations
Foreign-Specific-604 · reddit · 2026-09-11
SymKit MCP wraps the SymPy computer-algebra backend into an MCP server with 44 tools, letting agents derive, check, and document formulas in physics, engineering, chemistry, biology, and economics.
- Derivation: a single math() tool covers 32 symbolic operations (simplify, solve, differentiate, integrate, series, limits); inputs accept SymPy strings, natural equations, Leibniz notation, Unicode/Greek symbols, or LaTeX. A YAML formula library adds search and ranked suggestions.
- Verification, not confidence: every recorded step is re-derived symbolically with residuals reduced to zero (exact or within tolerance); definite integrals are cross-checked by numeric quadrature — per step and across the whole chain.
- Assumptions as first-class objects: a four-level engine (global/domain/session/step) tracks symbol properties, exposes merged views, and flags contradictions (no more f(x) read as fx).
- Sessions & backtracking: derivations persist to disk with full provenance; resume sessions or sessionrollback to explore different branches.
- Output: export Python functions, SymPy scripts, LaTeX derivations, or full reports.
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