brainycalc

What BrainyCalc does

Instead of having an LLM estimate mathematical or scientific answers, the AI sends the computation to BrainyCalc, which handles the heavy lifting with precision and verification.

This enables AI systems to move beyond approximate reasoning when accuracy, transparency, and reproducibility are essential.

Compute

Reliable numerical or symbolic methods. No estimation.

Verify

Independent second pass catches instabilities before they reach your agent.

Reproduce

Same input, same output — always. Non-determinism eliminated.

Report confidence

Confidence scores and error bounds with every result.

Record provenance

Engine version, method, and parameters captured.

Audit trail

Fingerprinted and stored — inspect or reproduce any time.

Everyday units

From kg to lbs to engineering-grade thermodynamics, electrostatics, and radiology — every unit, every system, in one place.

Mathematics & statistics

Algebra, calculus, linear algebra, probability, optimization, and numerical methods — thousands of deterministic computations with verified results.

Health & life sciences

BMI, BMR, TDEE, GFR, biological age, life expectancy, and disease risk — verified, reproducible scientific computation.

General utilities

Date, time, age, fuel cost, electricity, bandwidth, and thousands of everyday calculators — accurate and reproducible.

Science & research

Computations that hold up to peer review. Full reproducibility — ready to cite.

Engineering

Structural loads, thermodynamics — numbers that can be independently checked and audited.

Compliance & audit

Healthcare, legal, financial — computation trails inspectable and reproducible on demand.

Integrate

Model Context Protocol Ready

Connect BrainyCalc directly to agent platforms (e.g., Claude Desktop, LangChain, or custom SDK implementations) through standard JSON-RPC communication protocols.

Standardized Schema

Automatic tool-calling mapping out of the box.

Locally Runnable

Host directly on your cluster infrastructure for lower latency.

{
  "mcpServers": {
    "brainycalc": {
      "command": "npx",
      "args": ["-y", "brainycalc"]
    }
  }
}