
Pure mathematics for agents: search for examples and counterexamples, compute exactly, and independently check what a result proves.
Install Jacobian
Not a bundle: wire it through the official mcp-client bridge with a single config row.
This is an MCP server, not a DSH bundle. It is wired in through the official @deepseek-ai/dsh-mcp-client bridge: one plugin row in your config, pointing at either a stdio command or an http endpoint. Its tools then appear to the agent as mcp__jacobian__<tool>, the same naming Claude Code and Codex use.
One config row for the mcp-client bridge — fill the command or URL from this repo's README
{
"name": "@deepseek-ai/dsh-mcp-client",
"config": {
"server": "jacobian",
"command": "<stdio command from the README>",
"url": "<or an http endpoint, if the server is remote>"
}
}Placeholders are placeholders
Prerequisites
- API key
- Not required.
- Network access
- Not required at runtime.
- Language
- Python
Install check
Every field the verdict was derived from, so you can re-derive it yourself
| Field checked | Result | Weight | What the spec says about it |
|---|---|---|---|
| lifecycleScripts | pass | info | no install-time scripts |
| entityType | pass | info | mcp-server is not installed via `dsh plugin add` |
- Verdict reason
- mcp-server uses its own install path, so bundle checks do not apply
- package.json read
- npm/package.json
- Rules applied from
- docs/user/develop/basic/publish.md
- Checked at
- 2026-08-15
From the README
Excerpt as published by the author, plain text, unedited
Jacobian is an MCP server that gives AI agents two tools for high-level mathematics. `math.find` discovers typed mathematical operations and `math.run` executes one selected operation. The same mathematical library is also available through a CLI and native Python API. Run the canonical Python MCP command without installing Jacobian globally:
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