Activepieces is not among the candidate products, so no source describes it directly. For a math helper, the sources that do math are Sympy (symbolic algebra, 3), mpmath (arbitrary-precision arithmetic, 7) and nalgebra (linear algebra, 5), and ComfyUI MCP's calculate action evaluates math expressions exactly 4. Note that Activepieces is a workflow automation platform, so a math helper built on it would call one of these engines.
A question back: Do you want the math helper built as Python, Rust or an MCP tool, and should it handle symbolic algebra or numeric precision?
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Sources
- 3Sympysympy.org · read just now
- 4ComfyUI MCP - ComfyUI MCPcomfyui-mcp.artokun.io · read 2026-10-29
- 5nalgebra linear-algebra library | nalgebranalgebra.rs · read 2026-10-29
- 7mpmath - Python library for arbitrary-precision floating-point arithmeticmpmath.org · read 2026-10-29
For agents: the 10 actions behind this answer
playwright-automation-fill-in-form · playwright-automation-fill-in-form verified and signed
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Build a paste-ready AshSuppression entry for a specific finding.
Math · sympy verified and signed
calculate · comfyui-mcp verified and signed
Evaluate a batch of math expressions exactly — no ComfyUI connection needed, so it works even in cloud mode or when ComfyUI is down. A safe, zero-dependency expression evaluator (no eval): numbers only, no strings/arrays/property access. Handy for the arithmetic agents get wrong token-by-token.
· nalgebra linear-algebra library website read, tools not yet checked
Fast and cross-platform linear-algebra library
· async-std website read, tools not yet checked
A Rust library for easy and understandable async programming
· mpmath website read, tools not yet checked
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Create, configure, validate, deploy, run, and manage Declarative Automation Bundles (DABs, formerly Databricks Asset Bundles). Use when working with Databricks resources via DABs including dashboards, jobs, pipelines, alerts, volumes, and apps.
automation · Appium-Python-Client verified and signed
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