Jacobian: an MCP server, CLI, and Python library that gives AI agents a composable toolbox of mathematical capabilities with inspectable artifacts and independent verification.
claude mcp add jacobian -- npx -y jacobian{
"mcpServers": {
"jacobian": {
"command": "npx",
"args": ["-y", "jacobian"]
}
}
}MCP Servers overview
<p align="center"> <img src="docs/assets/jacobian-hero.jpg" width="100%" alt="An archival-style black-and-white photograph of a mathematician working at a chalkboard, with a constant Jacobian determinant and three distinct inputs mapping to one output."> </p> <h1 align="center">Jacobian</h1> <p align="center"> <strong>Executable mathematics for agents. Evidence an independent checker can replay.</strong> </p> <p align="center"> An MCP server, CLI, and Python library for conjectures, counterexamples, exact computation, and formal proof. </p> <p align="center"> <a href="https://github.com/morluto/jacobian/actions/workflows/ci.yml"><img src="https://github.com/morluto/jacobian/actions/workflows/ci.yml/badge.svg" alt="CI"></a> <a href="https://pypi.org/project/jacobian/"><img src="https://img.shields.io/pypi/v/jacobian" alt="PyPI"></a> <a href="https://www.npmjs.com/package/jacobian"><img src="https://img.shields.io/npm/v/jacobian" alt="npm"></a> <a href="https://pypi.org/project/jacobian/"><img src="https://img.shields.io/pypi/pyversions/jacobian" alt="Supported Python versions"></a> <a href="LICENSE"><img src="https://img.shields.io/github/license/morluto/jacobian" alt="MIT license"></a> </p> <p align="center"> <a href="#quickstart">Quickstart</a> · <a href="#how-verification-works">Verification</a> · <a href="#capabilities">Capabilities</a> · <a href="#documentation">Documentation</a> · <a href="#contributing">Contributing</a> </p> Jacobian gives AI agents small, composable mathematical operations rather than one opaque solver. An agent can construct an object, compute an invariant, search for a witness, and submit exact evidence to a separate checker. Every step remains visible as a typed result or artifact. The trust boundary is deliberate: a search result, solver status, model answer, timeout, or score is never promoted directly to `VERIFIED`. Only an operator-authorized checker may emit a verified record, bound to the exact claim, candidate, scope, semantics, certificate format, and checker identity. ## Quickstart The npm launcher installs Jacobian and configures supported MCP clients. For a one-off setup without a global install, run: ```sh npx jacobian setup ``` For repeated use, install the launcher persistently and use its commands: ```sh npm install -g jacobian jacobian setup jacobian upgrade jacobian doctor ``` For the Python distribution, install the stable package directly with: ```sh python -m pip install jacobian ``` The launcher supports Claude, Codex, Cursor, Gemini, and OpenCode. It requires Node.js 18 or newer, Python 3.12, and [`uv`](https://docs.astral.sh/uv/). Run `jacobian mcp` to start the server directly. <details> <summary><strong>Install from source</strong></summary> ```sh git clone https://github.com/morluto/jacobian.git cd jacobian ./scripts/setup-agent --client codex --profile full-python --yes ``` This performs a locked full-Python sync and configures the selected agent to start MCP from the absolute source and state paths with `--no-sync`. It also records a doctor report containing the Git revision, package version, catalog digest, and provider availability. See [Configure an agent from a source checkout](docs/how-to/setup-agent-from-source.md) for the `core`, `full-python`, `lean`, and `external-proof` profiles, dry-run, repeatability, and rollback behavior. Use `uv run jacobian --help` to inspect the CLI or `uv run jacobian-mcp` to start the MCP adapter. </details> ## How verification works Jacobian separates finding evidence from deciding what that evidence proves. Suppose an agent is testing the claim **“`F` is injective.”** <p align="center"> <img src="docs/assets/verification-flow.jpg" width="100%" alt="The claim that F is injective leads to a candidate collision, an exact independent check, and a verification record. Missing witnesses, timeouts, cancellation, and errors remain unknown."> </p> **Claim → candidate witness → independent check → verification record** | Stage | Output | What it establishes | | --- | --- | --- | | Claim | `F` is injective | The statement to investigate; not yet trusted | | Search | A candidate witness `(F, p, q)` | Inspectable evidence, not a conclusion | | Independent check | Confirm `p ≠ q` and `F(p) − F(q) = 0` exactly | The candidate is a genuine collision | | Record | Bind the checked collision to the original claim and checker identity | The injectivity claim is `FALSE · VERIFIED` | > **No witness is not proof.** A failed search, timeout, cancellation, or error > leaves the claim `UNKNOWN`. In the introductory tutorial, the same boundary appears as: ```text evaluate.batch → FALSE · HEURISTIC witness.find → exact witness artifact witness.verify → FALSE · VERIFIED ``` `FALSE · HEURISTIC` is an evaluation. `FALSE · VERIFIED` is a conclusion backed by independently checked evidence. Follow [Find and verify a counterexample](docs/tutorials/first-verified-result.md) for a runnable example. ## Capabilities Capabilities are discovered at runtime through `capability://catalog`, described with `capability.describe`, and executed with `capability.invoke`. The installed catalog is the source of truth because availability can depend on local backends. | Domain | Agent-visible outcomes | | --- | --- | | Polynomial maps | Evaluate maps, compute Jacobians, search for collisions, independently verify collisions | | Polynomial algebra | Normalize typed expressions, factor univariate polynomials, verify identities, verify exact system solutions | | Exact linear algebra | Compute determinants, rank, kernels, and integer row Hermite normal forms; find and independently verify rational solutions or inconsistency certificates for `Ax = b` | | Graphs | Construct and inspect graphs, enumerate paths, realize degree sequences, test isomorphism, search colorings | | SAT and SMT | Find models or proof artifacts; independently replay assignments, DRAT proofs, and Alethe proofs | | Universal algebra | Evaluate finite magma laws and search for countermodels | | Polytopes | Compute convex combinations and linear separations | | Lean | Discover declarations, retrieve premises, inspect proof states, and check proofs in pinned environments | | Research memory | Store revisioned scratch work, findings, attempts, focus, and dependency-linked context | See the [tool reference](docs/reference/tools.md) for the public surface and the [atomic capability portfolio](docs/contributing/atomic-capability-portfolio.md) for portfolio design and evaluation gates. ## Design Jacobian keeps four responsibilities separate: - **Agents own strategy.** The kernel supplies mathematical operations, not a prescribed research workflow. - **Capabilities expose one coherent outcome.** Useful intermediate objects, failures, and proof obligations remain visible. - **Artifacts carry context.** Results report execution status, provenance, scope, completeness, exactness, assurance, and available certificates. - **Checkers own trust.** Plugins and search code cannot authorize a checker or change verification policy. The public MCP surface stays small: the capability catalog plus `capability.describe`, `capability.invoke`, and three direct workspace tools. `workspace.open`, `workspace.write`, and `workspace.query` manage durable agent-authored state; workspace entries remain `UNVERIFIED`. ## Documentation | Start here | When you need detail | | --- | --- | | [Documentation home](docs/index.md) | Tutorials, how-to guides, reference, and explanation | | [Architecture](docs/explanation/architecture.md) | System shape and the independent verification boundary | | [Product model](docs/explanation/product-blueprint.md) | Capability contracts, ownership, artifacts, and assurance | | [Product goals](docs/explanation/goals.md) | Active priorities and research direction | | [Tool surface](docs/reference/tools.md) | MCP resources, tools, and invocation contracts | | [Domain operation library](docs/reference/domain-operation-library.md) | Built-in producer, bounded-search, artifact, and exact-replay contracts | | [Provider runtime](docs/reference/provider-runtime.md) | Backend availability, compatibility, and identity | | [v0.2 specification](docs/reference/specifications/v0.2.md) | Last frozen release snapshot and conformance baseline | | [Testing strategy](docs/reference/testing-strategy.md) | Validation layers, commands, and CI responsibilities | | [Capability development handoffs](docs/reference/capability-development-handoffs.md) | Evidence-preserving agent handoffs between discovery, implementation, checking, and evaluation | Specialized contracts cover [SAT artifacts](docs/reference/sat-artifacts.md), [SMT/Alethe artifacts](docs/reference/smt-artifacts.md), [exact rational linear-system evidence](docs/reference/linear-rational-solutions.md), [exact rational matrix determinants](docs/reference/matrix-rational-determinant.md), [integer matrix HNF](docs/reference/matrix-hermite-normal-form.md), and [Lean declaration discovery](docs/reference/lean-declaration-discovery.md). The [domain-capability how-to](docs/how-to/invoke-domain-capabilities.md) demonstrates discovery, computed invocation, bounded-result interpretation, and exact replay. The [Lean formal-intermediates reference](docs/reference/lean-formal-intermediates.md) covers proof states, premise retrieval, dependency graphs, and checked edits. Architecture decisions are recorded in the [ADR index](docs/explanation/adr/index.md). ## MCP clients and deployment `jacobian setup` registers the local server with one or more supported clients. `jacobian upgrade` refreshes the pinned Python kernel in the launcher's managed environment; use `npm install -g jacobian@latest` to upgrade the npm launcher itself. For a clone, `jacobian setup --source <checkout> --state-dir <path> --profile full-python` explicitly binds the client to that source environment; the maintained `scripts/
What people ask about jacobian
What is morluto/jacobian?
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morluto/jacobian is mcp servers for the Claude AI ecosystem. Jacobian: an MCP server, CLI, and Python library that gives AI agents a composable toolbox of mathematical capabilities with inspectable artifacts and independent verification. It has 11 GitHub stars and was last updated today.
How do I install jacobian?
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You can install jacobian by cloning the repository (https://github.com/morluto/jacobian) or following the README instructions on GitHub. ClaudeWave also provides quick install blocks on this page.
Is morluto/jacobian safe to use?
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morluto/jacobian has not been audited yet by our security agent. Review the original repository on GitHub before using it in production.
Who maintains morluto/jacobian?
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morluto/jacobian is maintained by morluto. The last recorded GitHub activity is from today, with 12 open issues.
Are there alternatives to jacobian?
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Yes. On ClaudeWave you can browse similar mcp servers at /categories/mcp, sorted by popularity or recent activity.
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