Simulate Monte Carlo vs Jacobian

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

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

Verdict: choose Simulate Monte Carlo for data science tools work over a hosted endpoint; choose Jacobian 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?

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

Jacobian logoChoose Jacobian when

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

Feature & specification comparison

Rows where the two servers differ are marked.

SpecSimulate Monte Carlo logoSimulate Monte CarloJacobian logoJacobian
CategoryData Science ToolsData Science Tools
Quality signal39/100 · Fair49/100 · Fair
Install commandConfirmedConfirmed
TransportRemote HTTP/SSELocal subprocess (stdio)
AuthNot declaredNot declared
PricingNot declaredNot declared
Required env varsNone listedNone listed
Verified ownerCommunity listingCommunity listing
GitHub stars1318
Directory activity 1 views 0 installs 0 upvotes 1 views 0 installs 0 upvotes
ToolsNot listedNot listed

Tools & capabilities

Simulate Monte Carlo tools

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

Jacobian 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.

Simulate Monte Carlo

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

Jacobian

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

Frequently asked questions

Simulate Monte Carlo is categorized under Data Science Tools and uses a remote HTTP/SSE transport. Jacobian belongs to Data Science Tools and uses a local stdio subprocess. Pick Simulate Monte Carlo for data science tools work and Jacobian 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.

Simulate Monte Carlo has no declared pricing — check the project's own site. Jacobian 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 simulate-monte-carlo and jacobian as separate keys in the same mcpServers object, and your assistant will call tools from either one.

On AllMCPs, Simulate Monte Carlo has a quality signal of 39/100 (Fair) with 1 views, 0 installs and 1 GitHub stars. Jacobian has 49/100 (Fair) with 1 views, 0 installs and 318 GitHub stars.