What you can do with Jacobian

3 use cases

• Have an agent compute an exact matrix determinant

  Connect an MCP host to Jacobian so the agent computes exact determinants instead of estimating them.

  • Jacobian
  • Research
  • Intermediate
  View prompt

  Using the Jacobian MCP server from the repo morluto/jacobian, use math.find in inspection mode on matrix.determinant.compute, then call math.run once on the exact rational matrix <matrix>. Return the determinant as an exact value. Verify that the returned value is exact and not a decimal approximation.

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• Compute a gcd and Bézout coefficients from the terminal

  Install the Python package and get the gcd and Bézout coefficients of two integers as JSON.

  • Jacobian
  • Research
  • Intermediate
  View prompt

  Install the repo morluto/jacobian with `python -m pip install jacobian`, then run `jacobian run integer.compute.extended_gcd` with the payload {"left":"<a>","right":"<b>"}. Report the gcd and Bézout coefficients as returned in JSON. Verify that a*x + b*y equals the gcd for the returned coefficients.

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• Let an agent find and run a graph or SAT operation

  Use math.find to match a graph or SAT question to a bounded operation, then run it once.

  • Jacobian
  • Research
  • Advanced
  View prompt

  Using the Jacobian MCP server from morluto/jacobian, use math.find to match this need: <problem description>. Inspect the best operation, call math.run once with <input>, and return the typed result. Verify that the result states whether it is exact, approximate, or incomplete.

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How to use Jacobian

1. Check you have what it needs: Python 3.12 or 3.13 on glibc Linux x86-64 for the tested binary install, or another supported Python environment; uv with uvx on PATH for the canonical MCP command; Node.js 20.17+, 22.13+, or 23.5+ if you use the npm setup command.
2. Open morluto/jacobian on GitHub and read the README and license.
3. Run npx jacobian@latest setup and choose the agents you use, reviewing the changes before they are written.
4. Restart your agent host so it loads the Jacobian MCP server.
5. Ask the agent to use math.find in inspection mode on matrix.determinant.compute.
6. Ask the agent to call math.run once with an exact rational matrix of your choice.

These steps come from our top use case, Have an agent compute an exact matrix determinant, which also has a copy-paste agent prompt.

Jacobian alternatives · Best AI repos for Research

About this repo

• Who it is forDevelopers and agent builders who need an AI agent to run exact mathematical checks, such as determinants, gcd computations, or SAT and graph questions, instead of estimating answers in prose.
• Why it is hot
• LanguagePython
• Sourcegithub.com/morluto/jacobian · Back to Hot repos

Requirements

• Python 3.12 or 3.13 on glibc Linux x86-64 for the tested binary install, or another supported Python environment
• uv with uvx on PATH for the canonical MCP command
• Node.js 20.17+, 22.13+, or 23.5+ if you use the npm setup command
• An MCP-capable agent host or a terminal for the CLI

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