Spec Driven Development
by formulahendry
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Runs on your computer★ 440MITUpdated 14 months ago
Install
Jacobian
Overview
Description from the maker (original English)
Executable mathematics and independent verification for AI agents.
PopNx MCP’s three pillars
These three are never merged into one score: opinions, measurements and popularity are different things.
- User voiceiNo reviews yetReviews open together with accounts in a later step
- Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
- UsageiNot measured yet★ –
What you can do with it
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
- Connection: Runs on your computer
- Transport: stdio
- Category: Other
Install
Pick the AI app you use, then copy the settings.
Before you install
- Basic checks: 1 of 1 passed
- Runs on your computer with your user’s permissions (files, network, apps).
- The registry lists no key to fill in.
You need
- npmNode.js installed (for the npx command)
Which app do you use?
Pick your app above. We remember it, so next time the button says “Install in …”.
Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"jacobian": {
"command": "npx",
"args": [
"-y",
"jacobian",
"mcp"
]
}
}
}Run this in your terminal
claude mcp add jacobian -- npx -y jacobian mcpOr copy the settings yourself
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"jacobian": {
"command": "npx",
"args": [
"-y",
"jacobian",
"mcp"
]
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Or copy the settings yourself
Paste into .vscode/mcp.json in your project
{
"servers": {
"jacobian": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"jacobian",
"mcp"
]
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.
Your choice stays on this device in a cookie; no account needed.
These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
What it can do
Runs on your computer; the tool list appears in your AI app after you install it.
Basic checksi
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026
- ✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account morluto, which owns the repo
- … Not checked yet
Still maintained
We have not read this repo from GitHub yet
- … Not checked yet
Has a licence
We have not read this repo from GitHub yet
- – Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
- – Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
- … Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints
Compared with others in Otheri
- More stars than 0% of the other 32708 servers in this category
- Published to the registry more recently than 54% of the other 32708 servers in this category
- Basic checks equal to or better than 100% of the other 32708 servers in this category
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
Common questions
Is Jacobian safe?
It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
What keys or codes does it need?
The registry does not list a required key, though some servers ask you to sign in on first use.
Does it run on my computer or in the cloud?
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
Is it still maintained?
The GitHub repo last changed –, and the latest version (0.23.0) reached the registry 34 days ago.
Which apps can use it?
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.
What can I use instead?
In the same category: Spec Driven Development, Remote Desktop Commander, OpenTakeoff
Alternatives
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
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by desktop-commander
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
Runs in the cloud★ 211Updated 2 days ago
Install
OpenTakeoff
by Kentucky-ai
Construction takeoff for AI agents: load plans, set scale, measure, count, export with provenance.
Runs on your computerUpdated today
Install
README from the maker
Open the README
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
English · 简体中文
Jacobian
An executable mathematical vocabulary for agents: discover one typed operation, run it, and compose its result.
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 and make approximation, incompleteness, or uncertainty explicit.
Jacobian's hypothesis is that mathematical reasoning benefits from an executable vocabulary of semantically scoped, bounded operations. Rather than exposing large domain solvers or precomposed workflows, Jacobian exposes mathematical primitives that agents can search for and compose into solutions beyond what any individual operation was designed to solve. The library supplies trustworthy mathematical moves; the reasoning model decides which moves to make, how to combine their results, and when to stop. Keeping the operations semantically narrow and domain-owned preserves that search space instead of baking one proof strategy or workflow into the tools themselves.
See Executable mathematical vocabulary for what semantic atomicity means and how the operation vocabulary grows.
Quickstart
Set up Jacobian for your agents with a single command. The setup command requires Node.js 20.17+, 22.13+, or 23.5+ and uvx on your PATH.
npx jacobian@latest setupChoose detected agents and review the changes before they are written. Setup does not install Node.js, Python, uv, or an agent. For automation, preview an explicit plan with npx jacobian@latest setup --codex --dry-run; use --yes only with explicit agent flags or --all.
To refresh an existing registration explicitly, run npx jacobian@latest upgrade and select the agents to update. The generated launcher pins the exact release resolved by npm.
Run the canonical Python MCP command without installing Jacobian globally:
uvx --python 3.12 --from jacobian jacobian-mcpWhere an MCP host requires an npm command, the npm package is a deterministic carrier for that same command:
npx jacobian mcpFor a persistent installation:
python -m pip install jacobianjacobian-mcp
That package includes Jacobian's exact maintained Python backend stack: SymPy, NetworkX, Z3, and Python-FLINT. A normal Python or npm installation therefore exposes the same built-in Python-backed operation portfolio. The tested binary-install contract is CPython 3.12 or 3.13 on glibc Linux x86-64; the release gate installs the built wheel and starts Jacobian on both Python versions. Other systems may have compatible upstream wheels, but are not part of the tested release contract yet. In particular, Alpine/musl cannot install the complete mandatory stack from PyPI.
Singular and QEPCAD are optional system runtimes for a small subset of operations. The Python installation does not provision them, and ordinary operations do not require Docker. Python callers can use jacobian.backends.check_backend; MCP inspection reports availability in the server environment. See backend requirements for exact coverage and setup.
The Python distribution contains the mathematical kernel, CLI, and MCP server. The npm package deterministically maps its exact package version to the corresponding uvx invocation.
Compute one bounded result
An ordinary operation returns mathematics first. For example, matrix.determinant.compute accepts one exact rational matrix and returns its determinant directly. Callers compose results by passing their typed values to a subsequent operation.
For a local terminal workflow, inspect the exact installed contract and run one of its examples with the CLI:
jacobian inspect integer.compute.extended_gcdjacobian run integer.compute.extended_gcd --json '{"left":"84","right":"30"}'
The second command returns the gcd and Bézout coefficients as JSON. In an MCP host, use math.find in inspection mode to read the same contract and math.run with the same payload shape. See Discover and invoke operations for that agent workflow.
Available mathematics
The built-in portfolio covers work in:
- polynomial maps and polynomial algebra;
- exact linear algebra;
- graphs, paths, colorings, and isomorphism;
- bounded SAT and SMT solving;
- finite algebra, probability, geometry, and topology.
SAT and SMT operations use the maintained Z3 Python binding directly. Use math.find to match the mathematical result needed, then use its inspection mode on a promising operation before calling math.run once.
See the domain operation library for the maintained operation portfolio and backend requirements.
Status
Jacobian 0.23.0 is pre-stable. Its published package and operation contracts describe the supported surface; experimental operation contracts may change between releases.
Documentation
- Documentation home: tutorials, how-to guides, reference, and explanations
- Architecture: runtime structure and trust boundaries
- Product model: operation contracts, ownership, and project boundaries
- Tool reference: MCP resources and invocation contracts
- Backend requirements: maintained Python backends
- Remote deployment: HTTP deployment and authentication
Contributing
Jacobian uses Python 3.12, uv, and a small Makefile:
make setupmake affected AFFECTED_BASE=origin/main
Read CONTRIBUTING.md before changing code. It documents focused test commands, verification rules, documentation placement, and pull-request expectations.
License
MIT