avisangle/calculator-server

The Calculator Server is a Go‑based MCP (Model Context Protocol) service that turns any AI assistant into a powerful, precision‑driven mathematical engine. By exposing 13 distinct tools—ranging from basic arithmetic to complex financial models—the server gives developers a single, unified endpoint for all their numeric calculations. This eliminates the need to embed heavy math libraries or call external APIs, streamlining workflows and reducing latency.

At its core, the server offers six foundational tools. Basic Math Operations provide configurable decimal precision (0‑15 places) and support for multiple operands, making it suitable for everyday calculations. Advanced Mathematical Functions expose a full suite of scientific operations—trigonometry, logarithms, exponentials, and factorials—with unit awareness for degrees or radians. Expression Evaluation parses nested formulas with variables and constants, enabling dynamic equation solving on the fly. Statistical Analysis delivers descriptive statistics (mean, median, mode) and variability measures (standard deviation, variance), while Unit Conversion handles a broad spectrum of categories: length, weight, temperature, volume, and area. Finally, Financial Calculations cover interest, loan payments, ROI, NPV, and IRR, all built on the high‑precision library to avoid floating‑point errors.

The advanced tier expands these capabilities. Tools like Statistics Summary and Percentile Calculation offer deeper data insights, whereas Batch Unit Conversion allows bulk transformations in a single request. Investment and Loan Comparison tools aggregate multiple scenarios, providing side‑by‑side metrics and recommendations—ideal for financial advisors or portfolio managers. The NPV and IRR tools implement robust numerical methods (e.g., Newton‑Raphson) to ensure accurate investment analysis.

Developers integrate the server into AI workflows by simply registering it as an MCP provider. Once connected, a language model can invoke any of the 13 tools by name, passing arguments in JSON. The server responds with deterministic results, making it perfect for reproducible research or audit‑ready computations. Its tight coupling to Go’s concurrency model also means that multiple requests can be handled concurrently without sacrificing performance, which is critical for high‑throughput applications like real‑time analytics dashboards or automated trading systems.

Unique advantages include the combination of high precision and scientific computing in a single service, the breadth of financial modeling tools tailored for industry use, and the ability to perform batch operations that reduce round‑trip latency. For teams building AI assistants that need reliable, domain‑specific calculations—whether for engineering simulations, data science pipelines, or fintech applications—the Calculator Server offers a robust, ready‑to‑deploy solution that scales with their needs.