Monte Carlo decision-intelligence over MCP: simulate, optimize, and decide under uncertainty.
Free account. Installing gives you the manifest plus copy-paste snippets.
See reviewsImported from the official MCP registry - entry
io.github.cogswellspacely8-star/simenginev3.0.1. Ratings and installs below are from this marketplace.
Monte Carlo decision-intelligence over MCP: simulate, optimize, and decide under uncertainty.
simengine-mcp @ 3.0.1Source: https://github.com/cogswellspacely8-star/simengine
Registry entry: io.github.cogswellspacely8-star/simengine
Copy one of these into your project. Installing also returns the manifest and these snippets.
targets:
- https://api.opensmartroute.ai/api/v1/registry/mcp-io-github-cogswellspacely8-star-simengine/manifest # or paste the manifest belowAn Open Capability Manifest: the router reads it to know what this does, what it costs and when to pick it.
{
"ocm": "1",
"id": "mcp-io-github-cogswellspacely8-star-simengine",
"kind": "tool",
"name": "simengine",
"description": "Monte Carlo decision-intelligence over MCP: simulate, optimize, and decide under uncertainty.",
"publisher": "cogswellspacely8-star",
"version": "3.0.1",
"capabilities": {
"domains": [
"general"
],
"tags": [
"mcp",
"mcp-server",
"pypi",
"mcp-registry"
],
"languages": [
"en"
]
},
"quality_prior": 0.6,
"examples": [
"Monte Carlo decision-intelligence over MCP: simulate, optimize, and decide under uncertainty."
],
"primary": false,
"metadata": {
"source": {
"provider": "mcp-registry",
"repository": "https://github.com/cogswellspacely8-star/simengine",
"path": "server.json",
"ref": "3.0.1",
"url": "https://github.com/cogswellspacely8-star/simengine",
"key": "io.github.cogswellspacely8-star/simengine",
"registry": "https://registry.modelcontextprotocol.io"
}
}
}Fetch it by URL: GET /api/v1/registry/mcp-io-github-cogswellspacely8-star-simengine/manifest?version=3.0.1
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