Jacobian vs Simulate Monte Carlo

A side-by-side look at the Jacobian and Simulate Monte Carlo MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.

Jacobian logoJacobianData Science Tools · Local subprocess (stdio)Executable mathematics and independent verification for AI agents.49FairAuth: not declaredSimulate Monte Carlo logoSimulate Monte CarloData Science Tools · Remote HTTP/SSEReal Monte Carlo simulation of a compound event/conditional probability. Paid via x402.39FairAuth: not declared

Verdict: choose Jacobian for data science tools work as a local process; choose Simulate Monte Carlo for data science tools over a hosted endpoint. You can also run both side by side in one mcpServers block.

Which MCP server should you choose?

Jacobian logoChoose Jacobian when

  • You need dedicated capabilities in the Data Science Tools domain.
  • You prefer a local stdio subprocess transport.
Explore Jacobian

Simulate Monte Carlo logoChoose Simulate Monte Carlo when

  • You need dedicated capabilities in the Data Science Tools domain.
  • You prefer a remote HTTP/SSE transport.
Explore Simulate Monte Carlo

Feature & specification comparison

Rows where the two servers differ are marked.

SpecJacobian logoJacobianSimulate Monte Carlo logoSimulate Monte Carlo
CategoryData Science ToolsData Science Tools
Quality signal49/100 · Fair39/100 · Fair
Install commandConfirmedConfirmed
TransportLocal subprocess (stdio)Remote HTTP/SSE
AuthNot declaredNot declared
PricingNot declaredNot declared
Required env varsNone listedNone listed
Verified ownerCommunity listingCommunity listing
GitHub stars3181
Directory activity 1 views 0 installs 0 upvotes 1 views 0 installs 0 upvotes
ToolsNot listedNot listed

Tools & capabilities

Jacobian tools

No tool names declared yet. Check the project README from the listing page.

Simulate Monte Carlo 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 (Claude Desktop / Cursor)
{
  "mcpServers": {
    "jacobian": {
      "command": "npx",
      "args": [
        "-y",
        "jacobian@latest"
      ]
    }
  }
}

Simulate Monte Carlo

mcpServers (Claude Desktop / Cursor)
{
  "mcpServers": {
    "simulate-monte-carlo": {
      "url": "http://localhost:8787/mcp"
    }
  }
}

Frequently asked questions

Jacobian is categorized under Data Science Tools and uses a local stdio subprocess. Simulate Monte Carlo belongs to Data Science Tools and uses a remote HTTP/SSE transport. Pick Jacobian for data science tools work and Simulate Monte Carlo 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. Simulate Monte Carlo 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 simulate-monte-carlo 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 318 GitHub stars. Simulate Monte Carlo has 39/100 (Fair) with 1 views, 0 installs and 1 GitHub stars.