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Vinkius

mathjs Connector for AI agents.

1 live capability

Solve complex calculus and algebraic equations with perfect precision.

Live agent request mathjs / Connector

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AI Agent

Why people use mathjs

Advanced Math Evaluator: Solving Calculus Problems Without Hallucinations

This Connector takes that off your plate. Your AI client writes the formula, and the local engine solves it instantly. You get a verified result you can actually use.

  • Claude
  • ChatGPT
  • Gemini
  • Cursor
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  • Windsurf

What Vinkius changes

You get 100% accurate math results by letting your CPU do the work instead of the LLM.

Use it from Claude, ChatGPT, Cursor or another AI client you already have.

One account · 6,100+ Connectors

  1. Real-world use case 01

    Solving calculus homework

    A student asks for a derivative.

  2. Real-world use case 02

    Engineering specifications

    An engineer needs to solve a complex equation.

  3. Real-world use case 03

    Financial modeling

    An analyst needs to solve a complex formula.

Complete set · 1capability

The complete mathjs capability set.

These are the exact actions your AI can choose when you ask it to work with mathjs.

Capability set01 / 01

01

1 capability in this set.

Part of 1 available through mathjs.

  1. 01 Capability

    Evaluate math

    Evaluate complex math expressions deterministically (algebra, calculus, complex numbers) without LLM hallucinations

Set up in minutes

One URL. Then ask mathjs to work.

Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use mathjs from the conversation.

Choose your client

Live preview
Advanced clients IDE · CLI

Claude · Web + desktop

Official guide ↗

Connector URL · ready to paste

Streamable HTTP
https://edge.vinkius.com/vk_preview_ODg23U94ccqrwdYwR0Jbcn3SgytpyTdrFEJT2cbt/mcp
  1. Step 01

    Open Connectors

    In Claude Web or Claude Desktop, open Settings and choose Connectors.

  2. Step 02

    Add the URL

    Choose Add custom connector, name it mathjs, and paste the URL above.

  3. Step 03

    Turn it on in chat

    Select +, open Connectors, and enable mathjs for the conversation.

Where the request belongs

Work mathjs can move forward.

Built around the request

Data scientists who need perfect results for formulas. Engineers who don't have time to double-check calculus. Students who need accurate symbolic math.

01

Data Scientist

Checking the accuracy of complex statistical models and ensuring no rounding errors occur in final reports.

02

Physics Student

Solving multi-variable calculus problems for homework and verifying symbolic derivatives.

03

Financial Analyst

Evaluating complex interest rates or risk formulas where precision is a requirement.

Bring your own AI

Change the model, client or framework. Keep mathjs connected.

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Before you connect

Questions about mathjs.

The practical details behind the request, access and result.

Can the Advanced Math Evaluator handle calculus?

Yes. It can compute symbolic derivatives and other calculus operations with perfect precision by using a local math engine.

Does the Advanced Math Evaluator make mistakes on math?

No. Because it uses a dedicated engine for calculations instead of the LLM guessing the numbers, the results are mathematically exact.

Can I use it for complex numbers?

Yes. It handles complex arithmetic natively, meaning it can solve things like the square root of negative numbers without errors.

Is the Advanced Math Evaluator good for algebra?

It is excellent for algebra. It can evaluate huge algebraic equations and handle variables dynamically.

How is this different from regular AI math?

Most AI models guess the next number in a sequence. This Connector lets the AI write the formula while your CPU does the actual math.

Can I use it for engineering work?

Yes. It is perfect for engineers who need to solve complex equations or derivatives where precision is required.

Does it support complex numbers?

Yes! Math.js natively supports complex number arithmetic. Expressions like sqrt(-4) correctly return 2i instead of an error or NaN.

Can I use variables in my math expression?

Absolutely. Pass a JSON dictionary of variable names and values as the scope parameter, and the engine will substitute them before calculating the exact result.

Does it compute symbolic derivatives?

Yes. The AI can pass expressions using the derivative() function natively supported by Math.js. This allows evaluating gradients and rates of change with perfect precision.

One connection away

Give your agent a direct line to mathjs.

Connect mathjs once. Keep it beside 6,100+ managed Connectors when the next task needs more.

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