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jacobian MCP Server

morluto/jacobian

Score: 89.5 → 0% Rank #388 MCP Server
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Composable mathematics tools for agents

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Overview

morluto/jacobian is a Python tool licensed under MIT. Composable mathematics tools for agents Topics: ai-agents, computer-algebra, formal-methods, mcp, mcp-server, theorem-proving, lean4, sympy, automated-theorem-proving, formal-verification, proof-assistant, math, model-context-protocol, python, symbolic-math, dsh-plugin, cordis, dsh, erdos, erdos-problem.

Ranked #388 out of 24846 indexed tools.

In the top 2% of all indexed tools.

Has 14 contributors.

Ecosystem

Python MIT
ai-agentscomputer-algebraformal-methodsmcpmcp-servertheorem-provinglean4sympyautomated-theorem-provingformal-verificationproof-assistantmathmodel-context-protocolpythonsymbolic-mathdsh-plugincordisdsherdoserdos-problem

Score Breakdown

StarsFreshnessIssue HealthContributorsDependents
Stars 15% 258

258 stars → growing community

Freshness 25% 29d ago

Last commit 29d ago → recently updated

Issue Health 25% 94%

1924/2045 issues closed → responsive maintainer

Contributors 10% 14

14 contributors → active community

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A
PyPI Downloads N/A
Forks 24
Description Brief
License MIT

Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →

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AgentRank score for morluto/jacobian
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Matched Queries

topic:mcptopic:mcp-servertopic:model-context-protocol

From the README

**English** · [简体中文](README.zh-CN.md)

<h1 align="center">Jacobian</h1>

<p align="center">
  <strong>An executable mathematical vocabulary for agents: discover one typed operation, run it, and compose its result.</strong>
</p>

<p align="center">
  <a href="https://github.com/morluto/jacobian/actions/workflows/ci.yml"></a>
  <a href="https://pypi.org/project/jacobian/"></a>
  <a href="https://www.npmjs.com/package/jacobian"></a>
  <a href="https://pypi.org/project/jacobian/"></a>
  <a href="LICENSE"></a>
</p>

Jacobian is an MCP server that gives AI agents a searchable vocabulary of typed
mathematical operations. `math.find` matches a mathematical need or inspects one
exact contract, and `math.run` executes it and returns its typed result. The same
mathematical library is also available through a CLI and native Python API.

Each operation establishes one stable, reusable mathematical postcondition
rather than prescribing a workflow or proof strategy. Results are exact where
claimed an
Read full README on GitHub →

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