Jacobian vs Math MCP
A side-by-side look at the Jacobian and Math MCP MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
Verdict: choose Jacobian for data science tools work as a local process; choose Math MCP for data science tools as a local process. You can also run both side by side in one mcpServers block.
Which MCP server should you choose?
Choose Jacobian when
- You need dedicated capabilities in the Data Science Tools domain.
- You prefer a local stdio subprocess transport.
Choose Math MCP when
- You need dedicated capabilities in the Data Science Tools domain.
- You prefer a local stdio subprocess transport.
Feature & specification comparison
Rows where the two servers differ are marked.
| Spec | ||
|---|---|---|
| Category | Data Science Tools | Data Science Tools |
| Quality signal | 49/100 · Fair | 37/100 · Fair |
| Install command | Confirmed | Confirmed |
| Transport | Local subprocess (stdio) | Local subprocess (stdio) |
| Auth | Not declared | Not declared |
| Pricing | Not declared | Not declared |
| Required env vars | None listed | None listed |
| Verified owner | Community listing | Community listing |
| GitHub stars | 322 | 2 |
| Directory activity | 1 views 0 installs 0 upvotes | 2 views 0 installs 0 upvotes |
| Tools | Not listed | Not listed |
| Full listing | View Jacobian | View Math MCP |
Tools & capabilities
Jacobian tools
No tool names declared yet. Check the project README from the listing page.
Math MCP tools
No tool names declared yet. Check the project README from the listing page.
Ready-to-paste client configs
Paste either block (or both) into your client config, e.g. claude_desktop_config.json or ~/.cursor/mcp.json. We only show a config when the install command is confirmed.
Jacobian
{
"mcpServers": {
"jacobian": {
"command": "npx",
"args": [
"-y",
"jacobian@latest"
]
}
}
}
Math MCP
{
"mcpServers": {
"math-mcp": {
"command": "uvx",
"args": [
"scicomp-math-mcp"
]
}
}
}
Frequently asked questions
Jacobian is categorized under Data Science Tools and uses a local stdio subprocess. Math MCP belongs to Data Science Tools and uses a local stdio subprocess. Pick Jacobian for data science tools work and Math MCP for data science tools.
Copy the mcpServers block from the config section on this page into your client's config (for example claude_desktop_config.json or ~/.cursor/mcp.json), then fully restart the client.
Jacobian has no declared pricing — check the project's own site. Math MCP has no declared pricing — check the project's own site. If a server needs environment variables such as API keys, define them under the env key in your client's MCP config.
Yes. MCP clients support multiple servers: add jacobian and math-mcp as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, Jacobian has a quality signal of 49/100 (Fair) with 1 views, 0 installs and 322 GitHub stars. Math MCP has 37/100 (Fair) with 2 views, 0 installs and 2 GitHub stars.