brainycalc
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BrainyCalc is a Model Context Protocol (MCP) math server that gives LLMs and AI agents accurate, independently verified, and reproducible mathematical results — with full auditability.
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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.
Reliable numerical or symbolic methods. No estimation.
Independent second pass catches instabilities before they reach your agent.
Same input, same output — always. Non-determinism eliminated.
Confidence scores and error bounds with every result.
Engine version, method, and parameters captured.
Fingerprinted and stored — inspect or reproduce any time.
From kg to lbs to engineering-grade thermodynamics, electrostatics, and radiology — every unit, every system, in one place.
Algebra, calculus, linear algebra, probability, optimization, and numerical methods — thousands of deterministic computations with verified results.
BMI, BMR, TDEE, GFR, biological age, life expectancy, and disease risk — verified, reproducible scientific computation.
Date, time, age, fuel cost, electricity, bandwidth, and thousands of everyday calculators — accurate and reproducible.
Computations that hold up to peer review. Full reproducibility — ready to cite.
Structural loads, thermodynamics — numbers that can be independently checked and audited.
Healthcare, legal, financial — computation trails inspectable and reproducible on demand.
Connect BrainyCalc directly to agent platforms (e.g., Claude Desktop, LangChain, or custom SDK implementations) through standard JSON-RPC communication protocols.
Automatic tool-calling mapping out of the box.
Host directly on your cluster infrastructure for lower latency.
{ "mcpServers": { "brainycalc": { "command": "npx", "args": ["-y", "brainycalc"] } } }
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